During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive...During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive distance)to a moving target as quickly as possible,resulting in the extended minimum-time intercept problem(EMTIP).Existing research has primarily focused on the zero-distance intercept problem,MTIP,establishing the necessary or sufficient conditions for MTIP optimality,and utilizing analytic algorithms,such as root-finding algorithms,to calculate the optimal solutions.However,these approaches depend heavily on the properties of the analytic algorithm,making them inapplicable when problem settings change,such as in the case of a positive effective range or complicated target motions outside uniform rectilinear motion.In this study,an approach employing a high-accuracy and quality-guaranteed mixed-integer piecewise-linear program(QG-PWL)is proposed for the EMTIP.This program can accommodate different effective interception ranges and complicated target motions(variable velocity or complicated trajectories).The high accuracy and quality guarantees of QG-PWL originate from elegant strategies such as piecewise linearization and other developed operation strategies.The approximate error in the intercept path length is proved to be bounded to h2/(4√2),where h is the piecewise length.展开更多
The operational demands of a wide range significantly exacerbate combustion instability issues within ramjet combustor.To suppress combustion oscillations,an open-loop control system utilizing Linear Genetic Programmi...The operational demands of a wide range significantly exacerbate combustion instability issues within ramjet combustor.To suppress combustion oscillations,an open-loop control system utilizing Linear Genetic Programming(LGP)has been developed for a full-scale annular ramjet combustor.The LGP is used to generate control laws that include multi-frequency forcing.These laws are then transformed into square waves to actuate the solenoid valve,which modulates the kerosene supply for open-loop control.The results show that the duty cycle has little effect on instability amplitude,whereas an increase in frequency leads to a remarked reduction in combustion amplitude.After five generations evolvements,the pressure amplitude is reduced by 40.6% under the optimal control law generated by LGP.Furthermore,the machine learning process is depicted using a proximity map of control law similarity,with the search pathway visualized by the steepest descent.All individuals go forward to the upper left corner of the map with the evolution process,terminating at the optimal individual of the fifth generation.展开更多
This paper delves into the H∞optimal output regulation problem for continuous-time linear systems with an unknown system model.By integrating the internal model principle with optimal control,we derive an optimal con...This paper delves into the H∞optimal output regulation problem for continuous-time linear systems with an unknown system model.By integrating the internal model principle with optimal control,we derive an optimal control policy and a worst-case disturbance policy through the formulation and solution of a zero-sum game problem.Subsequently,leveraging adaptive dynamic programming,we propose a policy iteration learning algorithm capable of learning both the optimal control policy and the worst-case disturbance policy directly from system data.The existing algorithms necessitate an initial stabilizing policy,a full-rank condition,and the storage of historical data to guarantee algorithm convergence.In contrast,we design a dual policy iteration algorithm equipped with an online learning mechanism,thereby eliminating these additional prerequisites.Simulation results with an antonomous ground vehicle underscore the effectiveness of our proposed algorithm,and its superiority is further demonstrated through comparisons with existing methodologies.展开更多
Driven by artificial intelligence,the exponential growth in computational and energy demands has spurred exploration of alternative computing paradigms beyond traditional electronic processors.Optical neural networks(...Driven by artificial intelligence,the exponential growth in computational and energy demands has spurred exploration of alternative computing paradigms beyond traditional electronic processors.Optical neural networks(ONNs),a promising neuromorphic platform with light-speed computing,offer inherent advantages for accelerating artificial intelligence,including massive parallelism,ultralow latency,and reduced power consumption.However,most existing ONNs lack physical programmability after deployment due to rigid optical interconnects and limited optical transformations,which restrict their performance across diverse machine learning tasks.We propose a programmable and scalable ONN,an optoelectronic reservoir computing architecture integrated with cascaded linear disordered media.The key novelty lies in its physical kernel optimization via genetic algorithms,which involves programming diffuser orientations within a reduced search space and integrating wavefront shaping for feature preprocessing,thereby enhancing both optical random projection and preprocessing transformations.This platform achieves competitive accuracy in image classification with 93.5%fewer parameters than digital models;it also performs well in graph classification and human action recognition,proving feasibility for non-Euclidean and time-series datasets.Our work addresses the critical programmability bottleneck of ONNs,paving the way for scalable,energyefficient ONNs with programmable physical kernels and opening new paths for high-performance physicsinspired neuromorphic computing in resource-constrained scenarios.展开更多
In this paper,we study a class of Linear Fractional Programming on a nonempty bounded set,called the Problem(LFP),and design a branch and bound algorithm to find the global optimal solution of the problem(LFP).First,w...In this paper,we study a class of Linear Fractional Programming on a nonempty bounded set,called the Problem(LFP),and design a branch and bound algorithm to find the global optimal solution of the problem(LFP).First,we convert the problem(LFP)to the equivalent problem(EP2).Secondly,by applying the linear relaxation technique to the problem(EP2),the linear relaxation programming problem(LRP2Y)was obtained.Then,the overall framework of the algorithm is given,and the convergence and complexity of the algorithm are analyzed.Finally,experimental results are listed to illustrate the effectiveness of the algorithm.展开更多
The rate of convergence of the augmented Lagrangian method for solving nonlinear programming is studied under the Jacobian uniqueness conditions.It is demonstrated that,for a given multiplier vector(μ,λ),the rate of...The rate of convergence of the augmented Lagrangian method for solving nonlinear programming is studied under the Jacobian uniqueness conditions.It is demonstrated that,for a given multiplier vector(μ,λ),the rate of convergence of the augmented Lagrangian method is linear with respect to‖(μ,λ)-(μ*,λ*)‖and the ratio constant is proportional to 1/c when the ratio‖(μ,λ)-(μ*,λ*)‖/c is small enough,where c is the penalty parameter that exceeds a threshold c*>0 and(μ*,λ*)is the multiplier corresponding to a local minimum point.Importantly,the ratio constant of the Q-linear convergence of the sequence of multiplier vectors is estimated by the second-order derivative of the value function of the nonlinear optimization problem.This characterization gives an explicit expression for the rate constant of the Q-linear convergence of the sequence of multiplier vectors.展开更多
Mathematical programming solvers are software tools designed to solve real‑world problems using mathematical programming algorithms.This survey explores the evolution of optimization technologies,from traditional meth...Mathematical programming solvers are software tools designed to solve real‑world problems using mathematical programming algorithms.This survey explores the evolution of optimization technologies,from traditional methods such as the simplex algorithm and branch‑and‑bound techniques to modern advancements that are facilitated by parallel computing,GPU acceleration,and AI algorithms.We also emphasize the recent emergence of mathematical programming solvers developed by research institutes and companies headquartered in China as major players,who have achieved remarkable success in benchmarks when compared to established solvers.This article provides a comprehensive overview of the theoretical foundations,historical progress,and emerging trends in mathematical programming solvers,offering valuable insights for both researchers and practitioners in the field.展开更多
Swept-Source Optical Coherence Tomography(SS-OCT)requires linear k-space sampling and dispersion compensation to achieve optimal axial resolution,typically necessitating expensive,high-speed data acquisition hardware....Swept-Source Optical Coherence Tomography(SS-OCT)requires linear k-space sampling and dispersion compensation to achieve optimal axial resolution,typically necessitating expensive,high-speed data acquisition hardware.Existing numerical methods are computationally intensive,hindering real-time imaging.While phase linearization offers a simpler alternative,its applicability is limited to shallow depths.Here,we demonstrate that for serial sectioning and imaging,where the region of interest is confined to a few hundred micrometers,phase linearization is highly effective.We developed a simplified workflow that enables real-time reconstruction without added processing time.Using a commercial swept source,we maintained a sharp axial point spread function over a 700μm depth,sufficient for visualizing fine brain structures in mice.Our method allows for video-rate display using cost-effective,low-sampling-rate hardware.展开更多
Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disruptin...Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disrupting the neural connections that allow communication between the brain and the rest of the body, which results in varying degrees of motor and sensory impairment. Disconnection in the spinal tracts is an irreversible condition owing to the poor capacity for spontaneous axonal regeneration in the affected neurons.展开更多
Rydberg-atom-based superheterodyne receivers integrate self-calibration,high sensitivity,a wide operational frequency range,and phase/frequency resolved detection capabilities,demonstrating broad application prospects...Rydberg-atom-based superheterodyne receivers integrate self-calibration,high sensitivity,a wide operational frequency range,and phase/frequency resolved detection capabilities,demonstrating broad application prospects as nextgeneration microwave receivers.Linear gain and linear dynamic range(LDR)are critical metrics for assessing receiver sensitivity and demodulation fidelity,respectively.We numerically solve the four-level master equation and then employ particle swarm optimization(PSO)algorithm to co-optimize linear gain and LDR in atomic superheterodyne receivers based on balanced homodyne detection.Further,we systematically account for dominant dephasing mechanisms in the simulation,encompassing spontaneous decay,transit dephasing,collision dephasing,laser linewidth dephasing,and Doppler averaging.Homodyne readout utilizes both the real and imaginary parts of polarizability for sensing.In the case of the photon shot noise limit,its signal-to-noise ratio(SNR)expression resembles that of direct optical-intensity readout.However,the inherent coherent subtraction operation in homodyne detection significantly suppresses common-mode noise,while appropriately increasing the reference beam power enhances the gain in practical experiments.Indeed,this co-optimization problem,characterized by a high-dimensional variable space,two objectives,and non-convexity,is well-suited for solution by PSO.In addition,probe and coupling detuning contribute equivalently to polarizability and compensate for each other owing to Doppler averaging,thereby reducing the optimization variable space by one.By adopting a product form of linear gain and LDR as the fitness function,the PSO achieves rapid convergence.Here,the effectiveness of the PSO results is verified via the total harmonic distortion(THD).The relative error-based LDR calculation method we proposed efficiently measures receiver response linearity with consuming fewer computational resources.This research is expected to offer valuable insights into enhancing the performance of Rydberg-atom-based superheterodyne receivers.展开更多
It is important for a lunar lander to possess a large divert capability during the final landing phase,as this can enhance the tolerance for flight deviations in the early phase or improve the obstacle avoidance perfo...It is important for a lunar lander to possess a large divert capability during the final landing phase,as this can enhance the tolerance for flight deviations in the early phase or improve the obstacle avoidance performance.Therefore,when designing the powered descent trajectory,sufficient final phase divert capability should be reserved at the minimum propellant cost.To this end,a multi-phase trajectory programming(MPTP)method for powered descent with approaching phase divert capability is proposed.First,the entire powered descent trajectory is divided into the main braking phase and the approaching phase.The main braking phase is responsible for dissipating the majority of the initial velocity.The approaching phase is responsible for safely and precisely flying toward the landing site.It is nominally a vertical descent trajectory and possesses equal divert capability in all horizontal directions.Then,a constant-thrust linear tangent guidance(LTG)accounting for the lunar curvature is designed for the main braking phase.For the approaching phase,a variable-thrust lossless convex programming(LCP)guidance considering the constraints of tilt angle and glide-slope angle is developed.Subsequently,to connect the two phases and further optimize the propellant consumption throughout the entire trajectory,a method for determining the phase switching condition is proposed.The originally difficult-to-solve two-parameter optimization problem is decomposed into two more easily solvable subproblems,which are solved iteratively via a bilevel optimization framework.Finally,the divert capability of the proposed method is verified through numerical simulation.The programmed trajectory is basically consistent with the results of the pseudospectral method,with the difference in propellant consumption being only 0.006%.This method is suitable for the rapid iterative design of nominal trajectories for lunar lander powered descent in engineering applications.展开更多
Chemically self-charging aqueous zinc-ion batteries(AZIBs)have emerged as promising candidates for energy storage technologies owing to their environmental autonomy and structural simplicity.Nonetheless,the self-charg...Chemically self-charging aqueous zinc-ion batteries(AZIBs)have emerged as promising candidates for energy storage technologies owing to their environmental autonomy and structural simplicity.Nonetheless,the self-charging performance is significantly compromised by the limited potential difference between cathodes and oxygen,as well as the unsatisfactory cycling stability.Herein,we synthesized three novel polymeric cathodes(PM-E,NT-E,and PT-E)derived from distinct anhydride precursors for application in both AZIBs and chemical self-charging AZIBs.Combined experimental and density functional theory(DFT)analyses indicate that theπ-conjugated aromatic ring structures in various anhydride derivatives modulate the zinc storage activity of the carbonyl group(C=O).PT-E demonstrates superior electrochemical performance due to its optimal combination of band structure and molecular planarity,maintaining a specific capacity of 97.1 mAh g-1at 1 A g-1after 300cycles for AZIBs.Particularly,the PT-E cathode exhibits rechargeability through direct air oxidation without the external power supply;the discharged chemical self-charging AZIBs can be recharged to 1.28 V after exposure to air for 12 h.Meanwhile,it demonstrates excellent compatibility with combined chemical/galvanostatic charging environments,exhibiting exceptional electrochemical reversibility.This study advances chemical self-charging AZIBs technology while expanding the utilization scope of organic materials in autonomous energy storage systems.展开更多
Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain...Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain the linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum MSRs.By applying neutron balance theory,we analyzed the neutron absorption cross sections of various nuclides in single-lattice models with varying fuel concentrations.Our findings reveal a simple linear correlation between reactivity and the reciprocal of uranium concentration,which can be explained from the perspective of nuclear reaction cross sections that adhere to the 1/v law in the thermal neutron spectrum.Furthermore,we identified that the neutron absorption single-group cross sections of structural materials and carrier salts exhibit an approximately linear relationship with the fission single-group cross section of 235 U;similarly,the reciprocal of 235U’s fission cross section exhibits an approximately linear relationship with uranium concentration.This linear relationship deviates as the volume fraction of molten salt increases,due to a greater proportion of neutrons being captured in the resonance energy spectrum.However,it remains valid for molten salt volume fractions up to 25%and demonstrates broad applicability in the physical design and operation of thermal molten salt reactors.展开更多
Continuous-time model-free adaptive control frameworks are proposed in this paper for solving tracking problems of unknown nonlinear plants described by high-order differential equations.To tackle situations where no ...Continuous-time model-free adaptive control frameworks are proposed in this paper for solving tracking problems of unknown nonlinear plants described by high-order differential equations.To tackle situations where no form or structural information of plant models is present,the first step involves introducing continuous-time dynamic linearization techniques to create data models.Based on different ways for generating control inputs,two kinds of dynamic linearization processes for continuous-time nonlinear plants are established for the first time,where the nonlinear plants are parameterized by a time-varying linear data model.In the first dynamic linearization model(DLM),the control input is calculated by designating its derivative while the second one gives directly control inputs.Then,after acquiring different dynamic linearization models,based on traditional backstepping methods,adaptive laws are proposed to learn the timevarying parameters in DLMs and the corresponding model-free adaptive controllers are designed.The conditions on designable parameters for the proposed controllers are provided to ensure semi-global practical stabilization and arbitrarily desirable ultimate tracking accuracy.Moreover,to eliminate the effects of unknown equilibrium points on tracking accuracy,a continuoustime model-free adaptive controller with pure integral terms is proposed under the second dynamic linearization model.Finally,several practical and numerical examples are simulated to illustrate the feasibility and efficiency of the proposed results.展开更多
We propose a robust self-triggered switching control scheme for four-wheel-steering autonomous ground vehicles(FAGVs)to enhance tracking precision in the face of significant parameter variations.First,using the polyto...We propose a robust self-triggered switching control scheme for four-wheel-steering autonomous ground vehicles(FAGVs)to enhance tracking precision in the face of significant parameter variations.First,using the polytopic mechanism,the nonlinear dynamics of an FAGV are formulated as a switched linear parameter-varying system to accommodate parametric perturbations.With suitable dwell time,a novel self-triggered switching law is designed using energy density in terms of the tracking accuracy and system robustness;this satisfies the required control criteria while also preventing the Zeno phenomenon caused by traditional high-frequency switching.Through the application of multiple parameter-correlated Lyapunov functions,the resultant closed-loop system is ensured to be asymptotically stable with suitable auto-tuned gains.Finally,the efficacy and superiority of the proposed method are verified through experiments with an FAGV system.展开更多
Phytoremediation of arsenic(As)-contaminated soils is often hindered by As toxicity,low bioavailability,and the limited growth rate and biomass of remediator plants.To address this,we investigated the synergistic effe...Phytoremediation of arsenic(As)-contaminated soils is often hindered by As toxicity,low bioavailability,and the limited growth rate and biomass of remediator plants.To address this,we investigated the synergistic effects of 24-epibrassinolide(EBR)and the phosphate-solubilizing strain P-1 on enhancing As phytoremediation efficiency using Sedum lineare—a stress-tolerant species.Our results demonstrated that both individual and combined applications significantly improved S.lineare’s physiological performance,alleviating As-induced growth inhibition.The EBR+P-1 co-treatment exhibited the strongest effects,increasing biomasses(shoot and root dry weight by 66.7%and 62.5%,respectively)and total As accumulation(97.3%)compared to the control.This treatment also enhanced antioxidant enzyme activities(superoxide dismutase and catalase),reduced oxidative stress markers(reactive oxygen species and malondialdehyde),and decreased bioavailable As in soil.Partial Least Squares Path Modeling identified antioxidant defense and nutrient uptake as key drivers of As tolerance.Crucially,EBR application uniquely restructured the rhizosphere microbiome,enriching stress-tolerant(Flavobacterium)and metalmobilizing taxa(Patescibacteria),which correlated with improved soil enzyme activities(alkaline phosphatase,sucrase)and contributed significantly to plant resilience and As mobilization.These findings demonstrate that the combined use of EBR and strain P-1,leveraging novel microbiome engineering,offers a highly effective strategy for enhancing S.lineare-based As phytoremediation.It provides a practical approach for the sustainable remediation of moderately to heavily As-contaminated soils,especially in mining-affected or industrial wasteland areas.展开更多
This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morp...This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morphing rate control variable and using relaxation techniques to relax the bank angle constraint,the SOCP-based entry problem is constructed.A dynamic relaxation penal-ization technique is developed in the first layer to overcome artificial infeasibility and significantly enhance initialization robustness.A novel standard oscillation identification(SOI)method is proposed to precisely identify the iteration oscillations of basic SSOCP in the second layer,which can significantly improve the solution accuracy.A soft-trust-region strategy is applied in the third layer to eliminate oscillations and accelerate convergence.Simulation results of two scenarios demonstrate that the proposed SOI method effectively avoids non-standard oscillation interference versus traditional methods.The morphing aircraft can complete tasks better with a 7.01%and 10.43%reduction in heat load respectively compared to fixed-wing aircraft.The HSSOCP method can maintain accuracy while reducing computation time by 63.47%and 73.86%versus VATSSOCP.Monte Carlo simulations further validate the robustness.展开更多
The segmented power supply scheme for long-stator linear motor facilitates reducing power capacity and achieving a high power factor.However,the segment-switching process leads to overcurrent under high-speed conditio...The segmented power supply scheme for long-stator linear motor facilitates reducing power capacity and achieving a high power factor.However,the segment-switching process leads to overcurrent under high-speed conditions.This paper proposes a novel segment-switching strategy based on the time-optimal control theory.It employs time-optimal feedforward voltage and planned current trajectory during the switching transient process.Thus,it ensures rapid disconnection of the exiting segment and rapid establishment of the current in the incoming segment,while suppressing transient current overshoot.The mathematical model of the long-stator linear motor is established in the process of segment-switching.It derives the minimum times required to force the exiting segment current to zero and to establish the incoming segment current to the reference value by time-optimal control theory.Furthermore,the time-optimal voltages and current trajectories are calculated.The timeoptimal current trajectories are used as the reference command for the current loop.The time-optimal feedforward voltages are introduced into the current loop control.Hence,it achieves rapid disconnection of the exiting segment and fast,accurate establishment of the incoming segment current.Experimental and simulation results collectively validate the effectiveness of the proposed segment-switching strategy.展开更多
This paper addresses an optimal sensor selection problem under the framework of linear quadratic regulation.Unlike prior work on optimal sensor scheduling,we assume that the sensor noise covariance matrices are compar...This paper addresses an optimal sensor selection problem under the framework of linear quadratic regulation.Unlike prior work on optimal sensor scheduling,we assume that the sensor noise covariance matrices are comparable but unknown.Then,the optimal sensor selection problem is formulated as finding an optimal policy of selecting a sensor from a set of sensors to minimize the expected quadratic performance of a linear system given the number of trials.An action value method from reinforcement learning is adopted for estimating the values of selections and making selection decisions based on the estimates.Several ways of balancing exploration and exploitation are presented and compared for efficacy.Numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithms.展开更多
In order to investigate the penetration performance of Linear-Shaped Charge(LSC),Embowed LinearShaped Charge(ELSC),and Embowed Linear Explosively Formed Projectile(ELEFP)on T-shaped stiffened plates,a series of near-f...In order to investigate the penetration performance of Linear-Shaped Charge(LSC),Embowed LinearShaped Charge(ELSC),and Embowed Linear Explosively Formed Projectile(ELEFP)on T-shaped stiffened plates,a series of near-field air-burst experiments are conducted.The damage modes and characteristics of the target plates are compared and analyzed.Each flat plate section is completely punctured,resulting in a penetration hole.The damage modes induced by the three charge types on the stiffened plate structure are consistent,characterized by shear failure in the central region of the flat plate due to penetration by the penetrator,localized plastic deformation of the flat plate,and local penetration failure resulting from partial perforation of the central stiffener.The penetration lengths caused by ELSC and ELEFP are 45.1%and 46.1% larger than that of LSC,while the half-width of the penetration hole generated by ELEFP is 54.2% and 24.7% smaller than that of ELSC and LSC,respectively.The penetration height caused by ELEFP are 17.5%and 62.1% larger than that of ELSC and LSC,respectively.The stiffener effectively segments the damage area,enhancing the local structural strength and limiting the extent of plastic deformation in the flat plate section.The comparative results show that the ELSC proves to be more effective for efficient large-scale damage,and ELEFP is more suitable for achieving efficient localized damage.展开更多
基金supported by the National Natural Sci‐ence Foundation of China(Grant No.62306325)。
摘要During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive distance)to a moving target as quickly as possible,resulting in the extended minimum-time intercept problem(EMTIP).Existing research has primarily focused on the zero-distance intercept problem,MTIP,establishing the necessary or sufficient conditions for MTIP optimality,and utilizing analytic algorithms,such as root-finding algorithms,to calculate the optimal solutions.However,these approaches depend heavily on the properties of the analytic algorithm,making them inapplicable when problem settings change,such as in the case of a positive effective range or complicated target motions outside uniform rectilinear motion.In this study,an approach employing a high-accuracy and quality-guaranteed mixed-integer piecewise-linear program(QG-PWL)is proposed for the EMTIP.This program can accommodate different effective interception ranges and complicated target motions(variable velocity or complicated trajectories).The high accuracy and quality guarantees of QG-PWL originate from elegant strategies such as piecewise linearization and other developed operation strategies.The approximate error in the intercept path length is proved to be bounded to h2/(4√2),where h is the piecewise length.
基金support from the National Natural Science Foundation of China(No.12002372)the Young Elite Scientists Sponsorship Program by China Association for Science and Technology(No.2022QNRC001)the Natural Science Foundation of Hunan Province,China(No.2021JJ40674)。
摘要The operational demands of a wide range significantly exacerbate combustion instability issues within ramjet combustor.To suppress combustion oscillations,an open-loop control system utilizing Linear Genetic Programming(LGP)has been developed for a full-scale annular ramjet combustor.The LGP is used to generate control laws that include multi-frequency forcing.These laws are then transformed into square waves to actuate the solenoid valve,which modulates the kerosene supply for open-loop control.The results show that the duty cycle has little effect on instability amplitude,whereas an increase in frequency leads to a remarked reduction in combustion amplitude.After five generations evolvements,the pressure amplitude is reduced by 40.6% under the optimal control law generated by LGP.Furthermore,the machine learning process is depicted using a proximity map of control law similarity,with the search pathway visualized by the steepest descent.All individuals go forward to the upper left corner of the map with the evolution process,terminating at the optimal individual of the fifth generation.
基金supported by the National Natural Science Foundation of China(62322305,62495090,62495095)。
摘要This paper delves into the H∞optimal output regulation problem for continuous-time linear systems with an unknown system model.By integrating the internal model principle with optimal control,we derive an optimal control policy and a worst-case disturbance policy through the formulation and solution of a zero-sum game problem.Subsequently,leveraging adaptive dynamic programming,we propose a policy iteration learning algorithm capable of learning both the optimal control policy and the worst-case disturbance policy directly from system data.The existing algorithms necessitate an initial stabilizing policy,a full-rank condition,and the storage of historical data to guarantee algorithm convergence.In contrast,we design a dual policy iteration algorithm equipped with an online learning mechanism,thereby eliminating these additional prerequisites.Simulation results with an antonomous ground vehicle underscore the effectiveness of our proposed algorithm,and its superiority is further demonstrated through comparisons with existing methodologies.
基金supported by the National Natural Science Foundation of China(Grant Nos.12504505,62475286,and 62405374)the Innovation Science Fund of National University of Defense Technology(Grant Nos.ZK25-43 and 23-ZZCX-JDZ-21)。
摘要Driven by artificial intelligence,the exponential growth in computational and energy demands has spurred exploration of alternative computing paradigms beyond traditional electronic processors.Optical neural networks(ONNs),a promising neuromorphic platform with light-speed computing,offer inherent advantages for accelerating artificial intelligence,including massive parallelism,ultralow latency,and reduced power consumption.However,most existing ONNs lack physical programmability after deployment due to rigid optical interconnects and limited optical transformations,which restrict their performance across diverse machine learning tasks.We propose a programmable and scalable ONN,an optoelectronic reservoir computing architecture integrated with cascaded linear disordered media.The key novelty lies in its physical kernel optimization via genetic algorithms,which involves programming diffuser orientations within a reduced search space and integrating wavefront shaping for feature preprocessing,thereby enhancing both optical random projection and preprocessing transformations.This platform achieves competitive accuracy in image classification with 93.5%fewer parameters than digital models;it also performs well in graph classification and human action recognition,proving feasibility for non-Euclidean and time-series datasets.Our work addresses the critical programmability bottleneck of ONNs,paving the way for scalable,energyefficient ONNs with programmable physical kernels and opening new paths for high-performance physicsinspired neuromorphic computing in resource-constrained scenarios.
基金Supported by the National Natural Science Foundation of China(Grant Nos.12571317 and 12071133).
摘要In this paper,we study a class of Linear Fractional Programming on a nonempty bounded set,called the Problem(LFP),and design a branch and bound algorithm to find the global optimal solution of the problem(LFP).First,we convert the problem(LFP)to the equivalent problem(EP2).Secondly,by applying the linear relaxation technique to the problem(EP2),the linear relaxation programming problem(LRP2Y)was obtained.Then,the overall framework of the algorithm is given,and the convergence and complexity of the algorithm are analyzed.Finally,experimental results are listed to illustrate the effectiveness of the algorithm.
基金supported by the National Key R&D Program of China(Project No.2022YFA1004000)by the National Natural Science Foundation of China(Grant Nos.12201097,12071055).
摘要The rate of convergence of the augmented Lagrangian method for solving nonlinear programming is studied under the Jacobian uniqueness conditions.It is demonstrated that,for a given multiplier vector(μ,λ),the rate of convergence of the augmented Lagrangian method is linear with respect to‖(μ,λ)-(μ*,λ*)‖and the ratio constant is proportional to 1/c when the ratio‖(μ,λ)-(μ*,λ*)‖/c is small enough,where c is the penalty parameter that exceeds a threshold c*>0 and(μ*,λ*)is the multiplier corresponding to a local minimum point.Importantly,the ratio constant of the Q-linear convergence of the sequence of multiplier vectors is estimated by the second-order derivative of the value function of the nonlinear optimization problem.This characterization gives an explicit expression for the rate constant of the Q-linear convergence of the sequence of multiplier vectors.
基金supported by the National Natural Science Foundation of China(Grant Nos.72425001,72401219,72231006,and 72301165).
摘要Mathematical programming solvers are software tools designed to solve real‑world problems using mathematical programming algorithms.This survey explores the evolution of optimization technologies,from traditional methods such as the simplex algorithm and branch‑and‑bound techniques to modern advancements that are facilitated by parallel computing,GPU acceleration,and AI algorithms.We also emphasize the recent emergence of mathematical programming solvers developed by research institutes and companies headquartered in China as major players,who have achieved remarkable success in benchmarks when compared to established solvers.This article provides a comprehensive overview of the theoretical foundations,historical progress,and emerging trends in mathematical programming solvers,offering valuable insights for both researchers and practitioners in the field.
基金funding support from the National Natural Science Foundation of China(62275116,62505128,62220106006,12404497)the Shenzhen Science and Technology Innovation Committee(SGDX20230116091645005,202408133000333,JSGGKQTD 20221103174704003)the Department of Science and Technology of Guangdong(2021QN02Y274).
摘要Swept-Source Optical Coherence Tomography(SS-OCT)requires linear k-space sampling and dispersion compensation to achieve optimal axial resolution,typically necessitating expensive,high-speed data acquisition hardware.Existing numerical methods are computationally intensive,hindering real-time imaging.While phase linearization offers a simpler alternative,its applicability is limited to shallow depths.Here,we demonstrate that for serial sectioning and imaging,where the region of interest is confined to a few hundred micrometers,phase linearization is highly effective.We developed a simplified workflow that enables real-time reconstruction without added processing time.Using a commercial swept source,we maintained a sharp axial point spread function over a 700μm depth,sufficient for visualizing fine brain structures in mice.Our method allows for video-rate display using cost-effective,low-sampling-rate hardware.
基金financially supported by Ministerio de Ciencia e Innovación projects SAF2017-82736-C2-1-R to MTMFin Universidad Autónoma de Madrid and by Fundación Universidad Francisco de Vitoria to JS+2 种基金a predoctoral scholarship from Fundación Universidad Francisco de Vitoriafinancial support from a 6-month contract from Universidad Autónoma de Madrida 3-month contract from the School of Medicine of Universidad Francisco de Vitoria。
摘要Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disrupting the neural connections that allow communication between the brain and the rest of the body, which results in varying degrees of motor and sensory impairment. Disconnection in the spinal tracts is an irreversible condition owing to the poor capacity for spontaneous axonal regeneration in the affected neurons.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.62331024 and 62571549)the National Key Research and Development Program of China(Grant No.2022YFB2802804)。
摘要Rydberg-atom-based superheterodyne receivers integrate self-calibration,high sensitivity,a wide operational frequency range,and phase/frequency resolved detection capabilities,demonstrating broad application prospects as nextgeneration microwave receivers.Linear gain and linear dynamic range(LDR)are critical metrics for assessing receiver sensitivity and demodulation fidelity,respectively.We numerically solve the four-level master equation and then employ particle swarm optimization(PSO)algorithm to co-optimize linear gain and LDR in atomic superheterodyne receivers based on balanced homodyne detection.Further,we systematically account for dominant dephasing mechanisms in the simulation,encompassing spontaneous decay,transit dephasing,collision dephasing,laser linewidth dephasing,and Doppler averaging.Homodyne readout utilizes both the real and imaginary parts of polarizability for sensing.In the case of the photon shot noise limit,its signal-to-noise ratio(SNR)expression resembles that of direct optical-intensity readout.However,the inherent coherent subtraction operation in homodyne detection significantly suppresses common-mode noise,while appropriately increasing the reference beam power enhances the gain in practical experiments.Indeed,this co-optimization problem,characterized by a high-dimensional variable space,two objectives,and non-convexity,is well-suited for solution by PSO.In addition,probe and coupling detuning contribute equivalently to polarizability and compensate for each other owing to Doppler averaging,thereby reducing the optimization variable space by one.By adopting a product form of linear gain and LDR as the fitness function,the PSO achieves rapid convergence.Here,the effectiveness of the PSO results is verified via the total harmonic distortion(THD).The relative error-based LDR calculation method we proposed efficiently measures receiver response linearity with consuming fewer computational resources.This research is expected to offer valuable insights into enhancing the performance of Rydberg-atom-based superheterodyne receivers.
基金Fourth Phase of the China's Lunar Exploration ProgramChina National Space Administration (D040103)+1 种基金National Natural Science Foundation of China (62394354)National Key Research and Development Program of China (2025YFF0513303).
摘要It is important for a lunar lander to possess a large divert capability during the final landing phase,as this can enhance the tolerance for flight deviations in the early phase or improve the obstacle avoidance performance.Therefore,when designing the powered descent trajectory,sufficient final phase divert capability should be reserved at the minimum propellant cost.To this end,a multi-phase trajectory programming(MPTP)method for powered descent with approaching phase divert capability is proposed.First,the entire powered descent trajectory is divided into the main braking phase and the approaching phase.The main braking phase is responsible for dissipating the majority of the initial velocity.The approaching phase is responsible for safely and precisely flying toward the landing site.It is nominally a vertical descent trajectory and possesses equal divert capability in all horizontal directions.Then,a constant-thrust linear tangent guidance(LTG)accounting for the lunar curvature is designed for the main braking phase.For the approaching phase,a variable-thrust lossless convex programming(LCP)guidance considering the constraints of tilt angle and glide-slope angle is developed.Subsequently,to connect the two phases and further optimize the propellant consumption throughout the entire trajectory,a method for determining the phase switching condition is proposed.The originally difficult-to-solve two-parameter optimization problem is decomposed into two more easily solvable subproblems,which are solved iteratively via a bilevel optimization framework.Finally,the divert capability of the proposed method is verified through numerical simulation.The programmed trajectory is basically consistent with the results of the pseudospectral method,with the difference in propellant consumption being only 0.006%.This method is suitable for the rapid iterative design of nominal trajectories for lunar lander powered descent in engineering applications.
基金financial aid from the development of Science and Technology of Jilin province(Grant No.YDZJ202301 ZYTS253)。
摘要Chemically self-charging aqueous zinc-ion batteries(AZIBs)have emerged as promising candidates for energy storage technologies owing to their environmental autonomy and structural simplicity.Nonetheless,the self-charging performance is significantly compromised by the limited potential difference between cathodes and oxygen,as well as the unsatisfactory cycling stability.Herein,we synthesized three novel polymeric cathodes(PM-E,NT-E,and PT-E)derived from distinct anhydride precursors for application in both AZIBs and chemical self-charging AZIBs.Combined experimental and density functional theory(DFT)analyses indicate that theπ-conjugated aromatic ring structures in various anhydride derivatives modulate the zinc storage activity of the carbonyl group(C=O).PT-E demonstrates superior electrochemical performance due to its optimal combination of band structure and molecular planarity,maintaining a specific capacity of 97.1 mAh g-1at 1 A g-1after 300cycles for AZIBs.Particularly,the PT-E cathode exhibits rechargeability through direct air oxidation without the external power supply;the discharged chemical self-charging AZIBs can be recharged to 1.28 V after exposure to air for 12 h.Meanwhile,it demonstrates excellent compatibility with combined chemical/galvanostatic charging environments,exhibiting exceptional electrochemical reversibility.This study advances chemical self-charging AZIBs technology while expanding the utilization scope of organic materials in autonomous energy storage systems.
基金supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences(No.2020261)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA02010000)the Young Potential Program of the Shanghai Institute of Applied Physics,Chinese Academy of Sciences(No.SINAP-YXJH-202412)。
摘要Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain the linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum MSRs.By applying neutron balance theory,we analyzed the neutron absorption cross sections of various nuclides in single-lattice models with varying fuel concentrations.Our findings reveal a simple linear correlation between reactivity and the reciprocal of uranium concentration,which can be explained from the perspective of nuclear reaction cross sections that adhere to the 1/v law in the thermal neutron spectrum.Furthermore,we identified that the neutron absorption single-group cross sections of structural materials and carrier salts exhibit an approximately linear relationship with the fission single-group cross section of 235 U;similarly,the reciprocal of 235U’s fission cross section exhibits an approximately linear relationship with uranium concentration.This linear relationship deviates as the volume fraction of molten salt increases,due to a greater proportion of neutrons being captured in the resonance energy spectrum.However,it remains valid for molten salt volume fractions up to 25%and demonstrates broad applicability in the physical design and operation of thermal molten salt reactors.
基金supported by the National Science Foundation of China(62403049,62373206,62261160575)the National Key Research and Development Program of China(2023YFE0204100)。
摘要Continuous-time model-free adaptive control frameworks are proposed in this paper for solving tracking problems of unknown nonlinear plants described by high-order differential equations.To tackle situations where no form or structural information of plant models is present,the first step involves introducing continuous-time dynamic linearization techniques to create data models.Based on different ways for generating control inputs,two kinds of dynamic linearization processes for continuous-time nonlinear plants are established for the first time,where the nonlinear plants are parameterized by a time-varying linear data model.In the first dynamic linearization model(DLM),the control input is calculated by designating its derivative while the second one gives directly control inputs.Then,after acquiring different dynamic linearization models,based on traditional backstepping methods,adaptive laws are proposed to learn the timevarying parameters in DLMs and the corresponding model-free adaptive controllers are designed.The conditions on designable parameters for the proposed controllers are provided to ensure semi-global practical stabilization and arbitrarily desirable ultimate tracking accuracy.Moreover,to eliminate the effects of unknown equilibrium points on tracking accuracy,a continuoustime model-free adaptive controller with pure integral terms is proposed under the second dynamic linearization model.Finally,several practical and numerical examples are simulated to illustrate the feasibility and efficiency of the proposed results.
基金supported by the National Natural Science Foundation of China(Nos.52105019,52275488,and 52405563)the Key Research and Development Program of Hubei Prov‐ince,China(No.2022 BAA 064)+1 种基金the Science and Technology Innovation Talent Plan of Hubei Province(No.2025 DJA 014)the Key Research and Development Program of Wuhan,China(No.2025061202030429).
摘要We propose a robust self-triggered switching control scheme for four-wheel-steering autonomous ground vehicles(FAGVs)to enhance tracking precision in the face of significant parameter variations.First,using the polytopic mechanism,the nonlinear dynamics of an FAGV are formulated as a switched linear parameter-varying system to accommodate parametric perturbations.With suitable dwell time,a novel self-triggered switching law is designed using energy density in terms of the tracking accuracy and system robustness;this satisfies the required control criteria while also preventing the Zeno phenomenon caused by traditional high-frequency switching.Through the application of multiple parameter-correlated Lyapunov functions,the resultant closed-loop system is ensured to be asymptotically stable with suitable auto-tuned gains.Finally,the efficacy and superiority of the proposed method are verified through experiments with an FAGV system.
基金supported by the National Natural Science Foundation of China(No.32271705).
摘要Phytoremediation of arsenic(As)-contaminated soils is often hindered by As toxicity,low bioavailability,and the limited growth rate and biomass of remediator plants.To address this,we investigated the synergistic effects of 24-epibrassinolide(EBR)and the phosphate-solubilizing strain P-1 on enhancing As phytoremediation efficiency using Sedum lineare—a stress-tolerant species.Our results demonstrated that both individual and combined applications significantly improved S.lineare’s physiological performance,alleviating As-induced growth inhibition.The EBR+P-1 co-treatment exhibited the strongest effects,increasing biomasses(shoot and root dry weight by 66.7%and 62.5%,respectively)and total As accumulation(97.3%)compared to the control.This treatment also enhanced antioxidant enzyme activities(superoxide dismutase and catalase),reduced oxidative stress markers(reactive oxygen species and malondialdehyde),and decreased bioavailable As in soil.Partial Least Squares Path Modeling identified antioxidant defense and nutrient uptake as key drivers of As tolerance.Crucially,EBR application uniquely restructured the rhizosphere microbiome,enriching stress-tolerant(Flavobacterium)and metalmobilizing taxa(Patescibacteria),which correlated with improved soil enzyme activities(alkaline phosphatase,sucrase)and contributed significantly to plant resilience and As mobilization.These findings demonstrate that the combined use of EBR and strain P-1,leveraging novel microbiome engineering,offers a highly effective strategy for enhancing S.lineare-based As phytoremediation.It provides a practical approach for the sustainable remediation of moderately to heavily As-contaminated soils,especially in mining-affected or industrial wasteland areas.
基金supported by the Open Fund of Laboratory of Aerospace Servo Actuation and Transmission(No.LASAT-2022-A03).
摘要This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morphing rate control variable and using relaxation techniques to relax the bank angle constraint,the SOCP-based entry problem is constructed.A dynamic relaxation penal-ization technique is developed in the first layer to overcome artificial infeasibility and significantly enhance initialization robustness.A novel standard oscillation identification(SOI)method is proposed to precisely identify the iteration oscillations of basic SSOCP in the second layer,which can significantly improve the solution accuracy.A soft-trust-region strategy is applied in the third layer to eliminate oscillations and accelerate convergence.Simulation results of two scenarios demonstrate that the proposed SOI method effectively avoids non-standard oscillation interference versus traditional methods.The morphing aircraft can complete tasks better with a 7.01%and 10.43%reduction in heat load respectively compared to fixed-wing aircraft.The HSSOCP method can maintain accuracy while reducing computation time by 63.47%and 73.86%versus VATSSOCP.Monte Carlo simulations further validate the robustness.
基金supported in part by the CAS Project for Young Scientists in Basic Research under Grant YSBR-045the Strategic Priority Research Program of Chinese Academy of Sciences under Grant XDB1330000。
摘要The segmented power supply scheme for long-stator linear motor facilitates reducing power capacity and achieving a high power factor.However,the segment-switching process leads to overcurrent under high-speed conditions.This paper proposes a novel segment-switching strategy based on the time-optimal control theory.It employs time-optimal feedforward voltage and planned current trajectory during the switching transient process.Thus,it ensures rapid disconnection of the exiting segment and rapid establishment of the current in the incoming segment,while suppressing transient current overshoot.The mathematical model of the long-stator linear motor is established in the process of segment-switching.It derives the minimum times required to force the exiting segment current to zero and to establish the incoming segment current to the reference value by time-optimal control theory.Furthermore,the time-optimal voltages and current trajectories are calculated.The timeoptimal current trajectories are used as the reference command for the current loop.The time-optimal feedforward voltages are introduced into the current loop control.Hence,it achieves rapid disconnection of the exiting segment and fast,accurate establishment of the incoming segment current.Experimental and simulation results collectively validate the effectiveness of the proposed segment-switching strategy.
基金supported in part by the National Natural Science Foundation of China(62073158)the Key Science and Technology Research Project of the Education Department of Liaoning Province(LJ222410148037)the“Xingliao Talent Program”of Liaoning Province(XLYC2402025,XLYC2203160)。
摘要This paper addresses an optimal sensor selection problem under the framework of linear quadratic regulation.Unlike prior work on optimal sensor scheduling,we assume that the sensor noise covariance matrices are comparable but unknown.Then,the optimal sensor selection problem is formulated as finding an optimal policy of selecting a sensor from a set of sensors to minimize the expected quadratic performance of a linear system given the number of trials.An action value method from reinforcement learning is adopted for estimating the values of selections and making selection decisions based on the estimates.Several ways of balancing exploration and exploitation are presented and compared for efficacy.Numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithms.
基金supported by the National Natural Science Foundation of China(Grant Nos.52271307,52061135107,52192692,11802025)the Liao Ning Excellent Youth Fund Program(Grant No.2023JH3/10200012)+1 种基金the Liao Ning Revitalization Tal-ents Program(Grant No.XLYC1908027)the Fundamental Research Funds for the Central Universities(Grant Nos.DUT20RC(3)025,DUT20TD108,DUT20LAB308)。
摘要In order to investigate the penetration performance of Linear-Shaped Charge(LSC),Embowed LinearShaped Charge(ELSC),and Embowed Linear Explosively Formed Projectile(ELEFP)on T-shaped stiffened plates,a series of near-field air-burst experiments are conducted.The damage modes and characteristics of the target plates are compared and analyzed.Each flat plate section is completely punctured,resulting in a penetration hole.The damage modes induced by the three charge types on the stiffened plate structure are consistent,characterized by shear failure in the central region of the flat plate due to penetration by the penetrator,localized plastic deformation of the flat plate,and local penetration failure resulting from partial perforation of the central stiffener.The penetration lengths caused by ELSC and ELEFP are 45.1%and 46.1% larger than that of LSC,while the half-width of the penetration hole generated by ELEFP is 54.2% and 24.7% smaller than that of ELSC and LSC,respectively.The penetration height caused by ELEFP are 17.5%and 62.1% larger than that of ELSC and LSC,respectively.The stiffener effectively segments the damage area,enhancing the local structural strength and limiting the extent of plastic deformation in the flat plate section.The comparative results show that the ELSC proves to be more effective for efficient large-scale damage,and ELEFP is more suitable for achieving efficient localized damage.