期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到985,510篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Engineered Radiative Cooling Systems for Thermal-Regulating and Energy-Saving Applications 认领 引用 被引量：2
1
作者 Leqi Lei Ting Wu +8 位作者 Shuo Shi Yifan Si Chuanwei Zhi Kaisong Huang Jieqiong Yang Xinshuo Liang Shanshan Zhu Jinping Qu Jinlian Hu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第1期509-544,共36页
Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for... Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications. 展开更多
关键词 Radiative cooling systems Engineered materials Thermal-regulating Energy-saving Smart applications
暂未订购 下载PDF
Proportional-Integral Observer Design for Multi-Rate Systems Under Decode-and-Forward Relays:Tackling Power-Dependent Packet Dropouts 认领 引用
2
作者 Di Zhao Zidong Wang +2 位作者 Derui Ding Qing-Long Han Guoliang Wei 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1558-1571,共14页
In this paper,the problem of proportional-integral observer(PIO)design is investigated for a class of discrete-time multi-rate systems with multiple sensors,with the sensor sampling periods being allowed to differ fro... In this paper,the problem of proportional-integral observer(PIO)design is investigated for a class of discrete-time multi-rate systems with multiple sensors,with the sensor sampling periods being allowed to differ from the system updating periods.The facilitation of communication between sensors and the remote PIO through wireless networks,which are subject to probabilistic packet dropouts,is achieved through the utilization of a decode-and-forward relay-based strategy.The occurrence of packet dropouts is governed by a Bernoulli-distributed random variable whose probability is dependent on the available transmission power.A decode-and-forward relay-based strategy,developed based on different components,is capable of processing information from different encoders at different physical locations.For the convenience of observer design,the lifting technique is employed with aim to cast the multi-rate system into a single-rate one.By establishing sufficient conditions,the combined effect of external noises and relaying-aided communication on estimation performance is intuitively illustrated.Subsequently,a PIO with an adjustable parameter is designed by solving certain optimization problems.A simulation example is finally provided to validate the theoretical results. 展开更多
关键词 Decode-and-forward relay multi-rate systems networked systems proportional-integral observer design power-dependent packet dropouts
暂未订购 下载PDF
An index for characterizing bioavailability and risk of metals in soil-vegetable systems 认领 引用
3
作者 Lanqin YANG Yuechen YU +2 位作者 Yuanming WANG Biao HUANG Wenyou HU 《Pedosphere》 SCIE CAS CSCD 2026年第1期358-362,共5页
Dear Editor,With the growing food demands and the rapid development of intensive vegetable cultivation,the vegetable yield and planting area have increased to 230 million tons and 2.13 million hectares,respectively,in... Dear Editor,With the growing food demands and the rapid development of intensive vegetable cultivation,the vegetable yield and planting area have increased to 230 million tons and 2.13 million hectares,respectively,in China in 2021(MARAPRC,2023). 展开更多
关键词 metals bioavailability risk soil vegetable systems intensive vegetable cultivationthe
暂未订购 下载PDF
Finite-Time Sliding-Mode Control for Semi-Markov Systems With Delayed Impulses 认领 引用 被引量：1
4
作者 Fangmin Ren Xiaoping Wang +1 位作者 Yangmin Li Zhigang Zeng 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第3期740-742,共3页
Dear Editor,This letter concerns the design of sliding mode control(SMC)for semi-Markov switching systems with time-varying transmission and impulse delay.The difficulties of this problem are:1)Time-varying transmissi... Dear Editor,This letter concerns the design of sliding mode control(SMC)for semi-Markov switching systems with time-varying transmission and impulse delay.The difficulties of this problem are:1)Time-varying transmission and impulse delay bring more nonlinear dynamic characteristics and lag effects;2)Semi-Markov mode switching introduces uncertainty;3)The reachable stage and sliding stage are affected by two types of impulses in the system,which increases the complexity of theoretical derivation. 展开更多
关键词 finite time sliding mode control sliding mode control smc semi Markov systems lag effects semi markov reachable stage sliding stage theoretical derivation impulse delay time varying transmission
暂未订购 下载PDF
Privacy-preserving average consensus for multi-agent systems based on edge decomposition 认领 引用
5
作者 Zengwang JIN Qian LI +2 位作者 Biyun SHENG Changyin SUN Zhen WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期451-465,共15页
This paper studies the problem of privacy preservation in achieving the average consensus of dynamic Multi-Agent Systems(MAS).Average consensus performs an essential role in dynamic MAS to promote collaboration,coordi... This paper studies the problem of privacy preservation in achieving the average consensus of dynamic Multi-Agent Systems(MAS).Average consensus performs an essential role in dynamic MAS to promote collaboration,coordinate decision-making,resolve conflicts,and enhance system reliability.The process of achieving average consensus requires the information exchange between agents,which raises concerns about sensitive data leakage.To address this issue,we propose a novel algorithm that combines state decomposition with edge characteristics in network topology to protect the critical data during the average consensus process.Specifically,the original state of each agent is decomposed into|Ni|+1 substates,where|Ni|represents the number of neighboring nodes.For each agent,the public substate performs the function of the original state to participate in computation and interaction between other agents,while the private parts only interact with the first one of the same agent and keep invisible to other agents.Unlike other approaches that focus solely on the privacy preservation of agents'initial state information,this paper extends to dynamic state of agents at every moment.Next,rigorous proofs of the accuracy in average consensus are provided.Furthermore,it is shown that privacy can be protected by employing our algorithm if agent i has at least one neighbor who is not an honest-but-curious agent.As for external eavesdroppers,a sufficient condition is presented that the state information is not estimated with any guaranteed accuracy.Finally,numerical simulations are presented to verify the effectiveness of our approach. 展开更多
关键词 Multi-agent systems Privacy-preserving mechanism Average consensus Network topology Edge decomposition
暂未订购 下载PDF
A Novel Finite-Time Stability Criterion for Nonlinear Systems Involving Flexible Delayed Impulses 认领 引用
6
作者 Shuchen Wu Xiaodi Li Shiji Song 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第3期746-748,共3页
Dear Editor,This letter studies the finite-time stability(FTS)problem of nonlinear impulsive systems with delayed impulses.The system under consideration is subjected to a flexible class of time-varying delays in impu... Dear Editor,This letter studies the finite-time stability(FTS)problem of nonlinear impulsive systems with delayed impulses.The system under consideration is subjected to a flexible class of time-varying delays in impulsive signals,allowing them to arbitrarily span one or more impulse instants.Sufficient Lyapunov-based conditions for FTS of such systems are presented,where a novel class of impulse time sequences is established for all admissible uncertainties of delayed impulses. 展开更多
关键词 delayed impulsesthe impulsive signalsallowing finite time stability nonlinear systems Lyapunov based conditions time varying delays nonlinear impulsive systems delayed impulses
暂未订购 下载PDF
Introduction to the Special Issue on Advanced Artificial Intelligence and Machine Learning Methods Applied to Energy Systems 认领 引用
7
作者 Wei-Chiang Hong Yi Liang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期29-33,共5页
Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future,which have a great impact on energy resources and efficiencies.Due to the ... Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future,which have a great impact on energy resources and efficiencies.Due to the emerging artificial intelligence and machine learning,traditional modeling techniques in these energy systems have met challenges in still leveraging physics model and first principle-based approaches.Moreover,with the rapid development of hardware and computing techniques,new modeling approaches for energy systems have become more and more important for system design,integration,analysis,control,and management. 展开更多
关键词 energy power systems modeling techniques physics model energy resources machinelearning machine learningtraditional energy systems artificialintelligence
暂未订购 下载PDF
Dual-Mode Data-Driven Iterative Learning Control:Applications in Precision Manufacturing and Intelligent Transportation Systems 认领 引用
8
作者 Lei Wang Menghan Wei +3 位作者 Ziwei Huangfu Shunjie Zhu Xuejian Ge Zhengquan Li 《Computers, Materials & Continua》 SCIE EI 2026年第2期153-184,共32页
Iterative Learning Control(ILC)provides an effective framework for optimizing repetitive tasks,making it particularly suitable for high-precision applications in both precision manufacturing and intelligent transporta... Iterative Learning Control(ILC)provides an effective framework for optimizing repetitive tasks,making it particularly suitable for high-precision applications in both precision manufacturing and intelligent transportation systems(ITS).This paper presents a systematic review of ILC's developmental progress,current methodologies,and practical implementations across these two critical domains.The review first analyzes the key technical challenges encountered when integrating ILC into precision manufacturing workflows.Through case studies,it evaluates demonstrated improvements in positioning accuracy,surface finish quality,and production throughput.Furthermore,the study examines ILC’s applications in ITS,with particular focus on vehicular motion control applications including autonomous vehicle trajectory tracking,platoon coordination,and traffic signal timing optimization,where its data-driven characteristics enhance adaptability to dynamic environments.Finally,the paper proposes targeted future research directions that are essential for fully realizing ILC’s potential in advancing these interconnected yet distinct fields. 展开更多
关键词 Iterative learning control systematic review precisionmanufacturing intelligent transportation systems
暂未订购 下载PDF
Construction of the framework for lifelong learning ability of college nursing teachers based on Ecological Systems Theory 认领 引用
9
作者 Wenbin He Xiaoyan Chen +4 位作者 Ying Zhang Jian Yang Fei Fang Shuting Li Bilong Feng 《International Journal of Nursing Sciences》 CSCD 2026年第4期406-413,共8页
Objectives:To construct a systematic framework for college nursing teachers’lifelong learning ability guiding the professional development of college nursing teachers.Methods:Twenty participants(including 12 nursing ... Objectives:To construct a systematic framework for college nursing teachers’lifelong learning ability guiding the professional development of college nursing teachers.Methods:Twenty participants(including 12 nursing teachers,3 educational administrators,and 5 nursing students)were selected through purposive sampling from a university between July and December 2024.Semi-structured in-depth interviews guided by the five nested systems of Ecological Systems Theory(EST)were conducted to collect data,which were then analyzed using NVivo 12 software and grounded theory coding.Results:Grounded in the five nested systems of EST(individual,micro,meso,exo,macro),the“adaptation,planning,renovation,transformation,shaping(APRTS)”framework for college nursing teachers’lifelong learning ability was proposed for the first time,including 5 core dimensions and 15 sub-dimensions.A dynamic ecological cycle mechanism(adaptation→planning→renovation→transformation→shaping)emerged across these dimensions,reflecting the systematic and interactive nature of ability development.Conclusions:Grounded in EST,this framework systematically expounds the internal logic and development laws of college nursing teachers’lifelong learning ability,providing a theoretical basis and practical reference for responding to social changes,empowering educational transformation,and optimizing the educational ecosystem.It promotes a paradigm shift in teachers’career development from passive acceptance to active change. 展开更多
关键词 Ecological Systems Theory Lifelong learning Nursing education Nursing teachers Professional development
暂未订购 下载PDF
Adaptive Learned Index Construction with Sliding Windows for High-Throughput Blockchain Systems 认领 引用
10
作者 Jun Qi Chao Yang +4 位作者 Xinliu Wang Junyou Yang Haixin Wang Huaqin Chen Zhenyan Li 《Computers, Materials & Continua》 SCIE EI 2026年第6期1526-1556,共31页
With the diversification of electricity trading forms driven by distributed energy technologies,the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+tree indexes in term... With the diversification of electricity trading forms driven by distributed energy technologies,the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+tree indexes in terms of query efficiency and storage costs.This paper proposes a sliding window-based learned index construction method(SW-LI).The method consists of two key components.First,block timestamp-height samples are selected using a sliding window and used to train a linear regression model that captures the timestamp-to-height mapping.Second,an adaptive window adjustment mechanism is introduced:when the prediction error within a window exceeds a threshold,the window is contracted to improve local fitting accuracy;otherwise,it is expanded to accelerate global index construction.Together,these components dynamically balance model accuracy and training efficiency.Experimental results demonstrate that when the block count increases from 5000 to 25,000,SW-LI improves index construction efficiency by 69.22%-88.22%compared to Anole.Under a 10,000-block scale,its prediction error is reduced by an average of 80%compared to Sliding Window Search-enhanced Online Gradient Descent(SWS-OGD),with a storage overhead of only 60 KB(25,000 blocks),validating the method’s ability to maintain query accuracy while significantly enhancing indexing efficiency.When the block contains 4000 transactions,the average total query latency of SW-LI is 46.15%lower than that of Anole,which is only 2.7%of the average query latency of SWS-OGD(i.e.,approximately 37 times faster). 展开更多
关键词 Blockchain systems learned index sliding window adaptive adjustment query efficiency
暂未订购 下载PDF
Thiosulfate leaching of gold:An review on novel catalytic systems 认领 引用
11
作者 Qian LI Yue-hong ZHU +4 位作者 Yan ZHANG Xiao-liang LIU Shu-yi QIAO Yong-bin YANG Tao JIANG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2026年第4期1294-1319,共26页
Eco-friendly thiosulfate is a promising alternative to the high-toxic cyanide for gold extraction with copper-ammonia catalytic system being the most popular.However,the copper-ammonia catalysis causes the issues of h... Eco-friendly thiosulfate is a promising alternative to the high-toxic cyanide for gold extraction with copper-ammonia catalytic system being the most popular.However,the copper-ammonia catalysis causes the issues of high thiosulfate consumption,complex gold recovery process and ammonia pollution.An effective strategy to tackle these issues is to improve or replace the copper-ammonia system with a novel catalytic system(NCS).Various NCSs are classified and their current status and future prospectives are reviewed.The critical constituent factors of NCSs are summarized.The noteworthy developing trends of potential NCSs are also discussed.Furthermore,besides resin adsorption,other recovery methods such as solvent extraction deserve more attention to achieve selective gold recovery.Crucial insights into developing suitable NCSs to solve the existing challenges in the current thiosulfate leaching technology once and for all are offered,thus promoting its large-scale industrial application. 展开更多
关键词 gold non-cyanide gold lixiviant thiosulfate leaching novel catalytic systems transitional metal catalysis
暂未订购 下载PDF
Statistical complexity and stochastic resonance in bistable coupled network systems excited by non-Gaussian noise 认领 引用
12
作者 Meijuan He Lingyun Li +1 位作者 Wantao Jia Jiangang Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期228-235,共8页
This study investigates stochastic resonance(SR)phenomena in bistable coupled networks driven by non-Gaussian noise.Employing signal-to-noise ratio(SNR)and statistical complexity as quantitative metrics,we characteriz... This study investigates stochastic resonance(SR)phenomena in bistable coupled networks driven by non-Gaussian noise.Employing signal-to-noise ratio(SNR)and statistical complexity as quantitative metrics,we characterize the SR behavior.First,the dimensionality of a coupled network system is reduced via the mean field theory.Subsequently,we derive closed-form analytical expressions of SNR by the path integral method,the slaving principle and the two-state model theory.Numerical simulations are used to validate the consistency between SR features identified through statistical complexity and those obtained via SNR calculations,thereby corroborating the reliability of our analytical framework.Both theoretical and numerical results conclusively demonstrate the occurrence of SR in the network system.Parametric analyses further elucidate the modulation of SR characteristics by three critical factors:non-Gaussian noise intensity parameters,noise correlation timescale and inter-node coupling strength.Finally,we explore the system's size resonance properties. 展开更多
关键词 non-Gaussian noise bistable coupled network systems statistical complexity measure stochastic resonance
暂未订购 下载PDF
Bounded Control Gain Based Prescribed-Time Consensus of General Linear Multi-Agent Systems With Controllable Agent Dynamics 认领 引用
13
作者 Hongpeng Li Xinchun Jia +1 位作者 Xiaobo Chi Yanpeng Guan 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期903-912,共10页
In this paper,the bounded control gain based prescribed-time(Pre-T)consensus problem for general linear multiagent systems(MASs)with controllable agent dynamics is addressed.First,an observer with Pre-T performance is... In this paper,the bounded control gain based prescribed-time(Pre-T)consensus problem for general linear multiagent systems(MASs)with controllable agent dynamics is addressed.First,an observer with Pre-T performance is designed for each agent to estimate the leader's state within a prescribed time.Then,based on the estimated states,a Pre-T switching controller integrating a bounded control gain is developed by employing a special coordinate transformation in combination with the backstepping technique,under the assumption that the agents'system matrix pair is controllable.It is shown that the proposed controller enables general linear MASs to achieve the Pre-T consensus independently of the agents'initial conditions and control parameters.Notably,the controller eliminates the numerical implementation problem associated with unbounded control gains,without compromising the consensus performance.The proposed approach is further applied to high-order singleinput MASs to demonstrate its broader applicability.Finally,a simulation example validates the effectiveness of both the proposed observer and the Pre-T switching controller. 展开更多
关键词 Bounded control gain multi-agent systems (MASs) prescribed-time (Pre-T) consensus switching controller
暂未订购 下载PDF
Natural Frequency-Based Sensitivity Analysis of Pipe Systems with Uncertain Clamp Stiffness and Position Parameters 认领 引用
14
作者 Yan Shi Xin Wang +3 位作者 Yi Wang Bingfeng Zhao Shang Ren Xufang Zhang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期362-387,共26页
This paper introduces a computationally efficient global sensitivity analysis method for quantifying the influence of uncertain clamp support conditions on the natural frequencies of aero-engine pipe systems.The dynam... This paper introduces a computationally efficient global sensitivity analysis method for quantifying the influence of uncertain clamp support conditions on the natural frequencies of aero-engine pipe systems.The dynamic model is based on a three-dimensional Timoshenko beam finite element formulation,with clamps represented as distributed spring elements possessing anisotropic stiffness.To overcome the prohibitive cost of traditional Monte Carlo simulation,the multiplicative dimensional reduction method(M-DRM)is integrated with variance decomposition theory.This approach approximates the high-dimensional frequency response function as a product of univariate components,enabling rapid computation of Sobol’sensitivity indices with a computational cost reduced by three orders of magnitude.Numerical case studies on a planar Z-shaped pipe and a spatial series-parallel configuration reveal that clamp position parameters dominate the system’s natural frequency characteristics.For critical clamps,Sobol’indices exceed 0.8 across multiple vibration modes,whereas stiffness parameters exhibit negligible influence.The proposed methodology provides a rigorous and efficient tool for identifying dominant uncertainty sources,guiding tolerance allocation in manufacturing,and informing robust support design for vibration-sensitive piping systems. 展开更多
关键词 Natural frequencies multiplicative dimensionality reduction method sobol’index clamp-pipe systems
暂未订购 下载PDF
Integrating Nuclear Medicine Services Into Health Care Systems in Low-and Middle-Income Countries:A Review of Challenges and Innovations 认领 引用
15
作者 Biruk Demisse Ayalew Saim Mahmood Khan +10 位作者 Helina KTeklehaimanot Zebeaman Tibebu Gorfu Biniyam Jemaneh Batu Zemichael Getu Alemayehu Brook Lelisa Sime Eyerusalem Kebede Zewde Temesgen Mamo Sharew Muhidin Ibrahim Hundisa Yeamlak Tariku Tewodros Jawairya Muhammad Hussain Barina Khan 《iRADIOLOGY》 CSCD 2026年第1期3-12,共10页
The burden of noncommunicable diseases is increasing rapidly in low-and middle-income countries creating a growing need for advanced diagnostic and therapeutic modalities.Nuclear medicine offers great potential in dis... The burden of noncommunicable diseases is increasing rapidly in low-and middle-income countries creating a growing need for advanced diagnostic and therapeutic modalities.Nuclear medicine offers great potential in disease detection,treatment planning,and monitoring,yet its integration into resource-limited health systems remains challenging.This review synthesizes evidence from peer-reviewed publications and relevant reports from international agencies to examine barriers to,and enablers of,nuclear medicine adoption in these settings.We found that key obstacles include financial constraints,restricted access to essential materials,insufficient regulatory frameworks,and shortages of skilled professionals.These gaps contribute to safety concerns,inadequate waste management,and delays in service delivery.Although global initiatives have strengthened workforce training and promoted regulatory harmonization,persistent issues in financial sustainability and retention of trained staff hinder progress.Technological advances,such as novel imaging and therapeutic approaches,present opportunities;however,their successful implementation requires context-specific strategies that align with local infrastructure and policy realities.Integrating nuclear medicine into health systems in low-resource environments can address multiple health care priorities simultaneously,but this will require targeted investment,sustainable financing mechanisms,and strengthened institutional capacity.Collaborative international support,coupled with locally adapted policies,could accelerate equitable access and improve patient outcomes.Expanding the role of nuclear medicine in these regions has the potential to significantly enhance health care delivery and contribute to closing the global disparity in advanced medical services. 展开更多
关键词 health systems low and middle income countries nuclear medicine theranostics
暂未订购 下载PDF
Oxidative polymerization in heterogeneous Fenton-like systems:Towards sustainable water treatment 认领 引用
16
作者 Qianyu Pan Chuqiao Wang +4 位作者 Caihua Liu Chong-Chen Wang Yuying Hu Xing Xu Xiaoming Peng 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第7期10-19,共10页
In heterogeneous Fenton-like systems,the oxidative polymerization pathway is of great significance in the field of sustainable water treatment.Unlike the traditional mineralization pathway,it can convert organic pollu... In heterogeneous Fenton-like systems,the oxidative polymerization pathway is of great significance in the field of sustainable water treatment.Unlike the traditional mineralization pathway,it can convert organic pollutants into polymers,thereby achieving the recovery of carbon resources.This paper focuses on the core content related to this pathway,expounding that the mechanism of oxidative polymerization is influenced by multiple factors(catalysts,oxidants,organic matters).Meanwhile,various methods exist for identifying the polymerization pathway,such as electrochemical experiments,Raman spectroscopy analysis,and mass spectrometry technology,which can infer the reaction process and product structure.Additionally,this paper reveals two pathways for pollutant removal through oxidative polymerization:The radical pathway and the non-radical pathway.In the future,advanced characterization techniques should be used to deeply explore the microscopic mechanism of oxidative polymerization,optimize catalyst design,expand practical application research,and explore comprehensive utilization pathways for its products,so as to promote the development of sustainable water treatment technologies. 展开更多
关键词 Heterogeneous Fenton-like systems Polymerization reactions Pollutant removal pathways Radical non-radical Sustainable water purification
暂未订购 下载PDF
Adaptive optimal consensus over networked multi-agent systems:a digital signal-driven hybrid iteration approach 认领 引用
17
作者 Jun Li Jiansong Lu +1 位作者 Lianghao Ji Huaqing Li 《Digital Communications and Networks》 SCIE EI CSCD 2026年第5期825-835,共11页
The integration of Digital Signal Processing(DSP)and Reinforcement Learning(RL)for optimal consensus control in Networked Multi-Agent Systems(NMASs)has garnered significant research attention.However,prior research en... The integration of Digital Signal Processing(DSP)and Reinforcement Learning(RL)for optimal consensus control in Networked Multi-Agent Systems(NMASs)has garnered significant research attention.However,prior research encounters some limitations:1)dependency on initial admissible control policies,and 2)systemic data redundancy arising from ineffective data governance in distributed architectures and slow convergence rates of conventional RL algorithms.To overcome these challenges,this paper proposes a Distributed Collaborative Iteration Adaptive Dynamic Programming(DCIADP)framework.The methodology reformulates the solution of Hamilton-Jacobi-Bellman(HJB)equations by integrating Value Iteration(VI)and Policy Iteration(PI)within a unified architecture,eliminating reliance on prior knowledge of system dynamics.Specifically,a dynamic factor is introduced to synergistically integrate the complementary strengths of VI and PI,achieving accelerated convergence while bypassing the initialization requirement for admissible policies.This innovation significantly mitigates computational overhead in distributed nodes during localized DSP operations.Furthermore,a self-tuning mechanism dynamically optimizes the factor,enhancing adaptability to heterogeneous network conditions.Through rigorous theoretical analysis,the proposed framework is proven to ensure asymptotic convergence and Lyapunov stability.Practical implementation is realized through actor-critic Neural Networks(NNs),incorporating an experience replay mechanism to exploit temporal correlation characteristics in networked data streams.This enables derivation of optimal control policies solely from transmitted network signals,independent of explicit system parameter knowledge.The framework thus establishes a resource-eicient adaptive control paradigm for bandwidth-constrained networked MASs.Finally,several numerical simulations validate the effectiveness and superiority of the proposed approach. 展开更多
关键词 Off-policy Optimal control Multi-agent systems Reinforcement learning Digital signal processing
暂未订购 下载PDF
Adaptive distributed optimization of high-order nonlinear multi-agent systems with predefined accuracy under state observer 认领 引用
18
作者 Xiao-Wen Zhao Tong Shu +2 位作者 Deng-Hao Pang Tao Li Mei Yao 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期236-247,共12页
This paper discusses adaptive distributed optimization with predefined accuracy for high-order nonlinear multi-agent systems(MASs)that are subject to disturbances and nonlinear uncertainties.To estimate the global opt... This paper discusses adaptive distributed optimization with predefined accuracy for high-order nonlinear multi-agent systems(MASs)that are subject to disturbances and nonlinear uncertainties.To estimate the global optimal solution in realtime,a distributed proportional-integral optimization technique is used to generate a virtual system for each agent.For the unknown control gain of the controller,the Nussbaum function is employed.Then,a fuzzy adaptive observer is designed to estimate the unmeasured state by leveraging the general approximation capabilities of fuzzy logic systems.Using the Lyapunov stability method and backstepping technique,we develop the adaptive law and a new distributed controller.This ensures that the outputs of multi-agent systems converge to optimal values.Finally,a simulation example is used to confirm the viability of the presented control mechanism. 展开更多
关键词 distributed optimization nonlinear multi-agent systems(MASs) fuzzy state observer predefined accuracy control
暂未订购 下载PDF
Fault data augmentation for electromechanical coupling systems based on hierarchical collaborative digital twin 认领 引用
19
作者 Xuanyuan SU Laifa TAO +5 位作者 Bo SUN Kaixin JIN Yongzhe MA Xinwei WANG Chen LU Yu DING 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期349-378,共30页
Effective fault diagnosis is crucial for the reliable running of Electromechanical coupling Systems(EMS),yet hampered by insufficient entity fault data.Digital Twin(DT)technology offers the potential for virtual fault... Effective fault diagnosis is crucial for the reliable running of Electromechanical coupling Systems(EMS),yet hampered by insufficient entity fault data.Digital Twin(DT)technology offers the potential for virtual fault data augmentation and fault diagnosis improvement.However,there is still a lack of an effective and systematic methodology,to decouple complicated EMS entities and construct their full-system DT.To address this,a hierarchical collaborative DT construction framework is proposed for fault data augmentation of EMS.Specially,we decouple EMS entity into the triplet representations of element,data,and relationship,which establish the profound understanding of coupling characteristics from multiple modalities.Furthermore,we develop a hierarchical DT modeling method to mirror these complicated couplings as four-level sub-DTs of space,behavior,process,and status.Each level of sub-DT utilizes the data-mechanism combined technique to balance modeling adaptability and precision.Finally,these heterogeneous sub-DTs are integrated as full-system DT driven by collaborative orchestration algorithm,which achieves the global consistency mirror with the real fault manifestation under diverse fault modes.Experiments on a multi-coupled electromechanical fault test bench validate our framework.Results exhibit the average improvements of 17.29%and 9.97%in accuracy of data augmentation fault classification,confirming its superiority and effectiveness. 展开更多
关键词 Data and knowledge fusion Data generation Digital twin Electromechanical coupling systems Fault diagnosis
暂未订购 下载PDF
Bumpless Transfer Control for State-Dependent Switched Linear Systems With Dwell-Time Constraints 认领 引用
20
作者 Feiyue Wu Jie Lian Dong Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1353-1361,共9页
This paper investigates the robust bumpless transfer(BT)control problem for a class of state-dependent switched linear systems.To reduce control bumps in switched systems,a state-dependent switching law with a specifi... This paper investigates the robust bumpless transfer(BT)control problem for a class of state-dependent switched linear systems.To reduce control bumps in switched systems,a state-dependent switching law with a specified dwell-time constraint is proposed.Combined with BT performance requirements,BT control is designed to incorporate both transitiondependent control and stabilizing control.In contrast to previous interpolation-based BT control design schemes,the proposed structure decouples the controller evaluation period from the dwell-time constraints,thereby enhancing flexibility in BT control design.Through the construction of transition-dependent Lyapunov functions,sufficient conditions are established to guarantee the exponential stability and BT performance for the switched system.The proposed method is extended to disturbed switched systems with a guaranteed L2-gain upper bound.To demonstrate the effectiveness of the proposed BT control strategy,an example featuring an aero-engine model is presented. 展开更多
关键词 Bumpless transfer (BT) control dwell-time constraint state-dependent switching switched systems
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈