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Enhancing MPC methodology to system optimal control 认领 引用
1
作者 Shaoyuan Li Dewei Li +1 位作者 Yang Shi Xiaoming Hu 《Control Theory and Technology》 EI CSCD 2026年第2期171-172,共2页
The original intention of Model Predictive Control(MPC)was to bridge the gap between advanced control theories and the application of complex practical engineering systems.Since its emergence in the 1970s,it has been ... The original intention of Model Predictive Control(MPC)was to bridge the gap between advanced control theories and the application of complex practical engineering systems.Since its emergence in the 1970s,it has been one of the core technologies in the Advanced Process Control(APC)system.Owing to its receding horizon optimization mechanism and capability to handle constraints,MPC has consistently attracted attention from both academia and industry,and has been successfully applied in numerous industries such as petrochemicals,metallurgy,pharmaceuticals,electric power,water treatment,and power electronics.According to statistics from the International Federation of Automatic Control and industrial data,MPC has been deployed in some form in more than 50% of large-scale industrial control systems worldwide. 展开更多
关键词 model predictive control mpc Advanced Process Control advanced control theories System Optimal Control complex practical engineering systemssince receding horizon optimization mechanism advanced process control apc systemowing bridge gap
Secure Control of Networked Control Systems Based on Multiplicative Watermarking-Based Detection and Data Compensation 认领 引用
2
作者 Lang Wu Dajun Du +2 位作者 Yang Xiao Qing Sun Minrui Fei 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1776-1778,共3页
Dear Editor,The crafted generalized replay attacks(GRAs)can bypass traditional multiplicative watermarking(MW)-based active detection in networked control systems(NCSs),which will seriously destroy system stability or... Dear Editor,The crafted generalized replay attacks(GRAs)can bypass traditional multiplicative watermarking(MW)-based active detection in networked control systems(NCSs),which will seriously destroy system stability or even crash.To address this problem,this letter proposes a novel secure control method by using MW-based detection and data compensation.First,the limitation of traditional MW-based detection method is analysed,and a novel MW-based active detection scheme is proposed by adding an irreversible watermarking detection unit.Then,according to the detection result,an online data compensation scheme based on cubic spline interpolation algorithm is provided,and the maximum allowed attack rate of GRAs is given to maintain the exponential stability of NCSs.Finally,experimental results confirm the effectiveness of the proposed method. 展开更多
关键词 crafted generalized replay attacks gras can system stability multiplicative watermarking networked control systems ncss which secure control networked control systems secure control method irreversible wat
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Embodied-Intelligence Power Industrial Control Systems:Architecture Design,Key Scientific Problems,and Research Recommendations 认领 引用
3
作者 Tingjun Zhang Dong Yue 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期239-242,共4页
THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-... THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-cloud collaborative design.However,the large-scale integration ofdistributed renewable energy resources,coupled with the extensivedeployment of sensing and communication devices,has resulted inthe new-type power system characterized by dynamic complexityand high uncertainty[1]-[4]. 展开更多
关键词 power system embodied intelligence power industrial control system power architecture design key scientific problems power industrial control systems sensing communication deviceshas renewable energy resourcescoupled
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A Systematic Review of Learning-Based Control:Theory and Applications 认领 引用
4
作者 Weinan Gao Kaiyue He Zhong-Ping Jiang 《Artificial Intelligence Science and Engineering》 2026年第2期85-100,共16页
Learning-based control is an important advancement in intelligent control theory,integrating data-driven learning,feedback optimization,and complex system control.In modern industrial applications,it is widely deploye... Learning-based control is an important advancement in intelligent control theory,integrating data-driven learning,feedback optimization,and complex system control.In modern industrial applications,it is widely deployed in robotic manipulation,autonomous driving,power electronics,and process industries.Given that real-world systems are frequently subject to unknown dynamics,strong nonlinearities,and external disturbances,traditional model-based approaches often fail to ensure high precision,robustness,and adaptive optimization,leading to performance degradation or even instability.Learning-based control has received significant attention,as it can overcome the challenges faced by modelbased control.This paper presents a review of learning-based control techniques.First,learning-based control problems are formulated for nonlinear dynamic systems.Second,this paper overviews three typical categories of learning-based control methods including model-informed learning-based control,model-free learning-based control,and integrated learning-based control,with particular attention to their theoretical foundations and algorithmic implementations.Third,the applications of each learning-based control method across different engineering domains are discussed.Finally,this paper concludes by outlining future research directions. 展开更多
关键词 learning-based control reinforce-ment learning data-driven control optimal control adaptive control nonlinear systems robustness
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Intrusion Detection Systems in Industrial Control Systems:Landscape,Challenges and Opportunities 认领 引用 被引量：1
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作者 Tong Wu Dawei Zhou +1 位作者 Qingyu Ou Fang Luo 《Computers, Materials & Continua》 SCIE EI 2026年第3期162-200,共39页
The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has dri... The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has driven a growing need for robust ICS security measures.Among the key defences,intrusion detection technology is critical in identifying threats to ICS networks.This paper provides an overview of the distinctive characteristics of ICS network security,highlighting standard attack methods.It then examines various intrusion detection methods,including those based on misuse detection,anomaly detection,machine learning,and specialised requirements.This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations. 展开更多
关键词 Industrial control system industrial control system network security intrusion detection cyberspace security ICS network network security
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Data-Driven Predictive Control for Continuous-Time Nonlinear Systems:A Nonzero-Sum Game Approach 认领 引用
6
作者 Juan Liu Hao Zhang +1 位作者 Yifan Xie Frank Allgöwer 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期495-497,共3页
Dear Editor,This letter proposes a reinforcement learning-based predictive learning algorithm for unknown continuous-time nonlinear systems with observation loss.Firstly,we construct a temporal nonzero-sum game over p... Dear Editor,This letter proposes a reinforcement learning-based predictive learning algorithm for unknown continuous-time nonlinear systems with observation loss.Firstly,we construct a temporal nonzero-sum game over predictive control input sequences,deriving multiple optimal predictive control input sequences from its solution. 展开更多
关键词 predictive control nonzero sum game observation loss predictive control input sequencesderiving continuous time nonlinear systems optimal predictive control input sequences reinforcement learning
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Formation Control of Multi-Agent Systems With Position Constraints on a Closed Curve 认领 引用
7
作者 Cheng Song Yongqin He +1 位作者 Jianbin Qiu Shengyuan Xu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期1004-1006,共3页
Dear Editor,This letter deals with the formation control problem of a multiagent system that moves along a closed curve and is subject to position constraints.A distributed formation control law is developed under whi... Dear Editor,This letter deals with the formation control problem of a multiagent system that moves along a closed curve and is subject to position constraints.A distributed formation control law is developed under which the position constraint of each agent can always be satisfied.Due to the existence of position constraints,prescribed formations generally cannot be achieved by the agents. 展开更多
关键词 position constraint multi agent systems distributed formation control law closed curve formation control multiagent system
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A Novel Model Free Adaptive Fuzzy Control for Discrete-Time T-S Fuzzy Systems With Local Nonlinear Models 认领 引用
8
作者 Xiaodong Bu Shangtai Jin +1 位作者 Xisheng Dai Zhongsheng Hou 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第5期1207-1216,共10页
This paper presents a model-free adaptive fuzzy control(MFAFC)scheme for discrete-time Takagi-Sugeno(T-S)fuzzy systems with local nonlinear models.First,the T-S fuzzy system is transformed into a linearized model usin... This paper presents a model-free adaptive fuzzy control(MFAFC)scheme for discrete-time Takagi-Sugeno(T-S)fuzzy systems with local nonlinear models.First,the T-S fuzzy system is transformed into a linearized model using a dynamic linearization technique.Then,a model-free adaptive control scheme is developed for T-S fuzzy systems.Next,a rigorous convergence analysis of the tracking error is carried out using the contraction mapping theory.Finally,to validate the theoretical results,the scheme is tested by two numerical simulations and a mass-spring damper mechanical system.The results show that the proposed MFAFC strategy is effective in ensuring that the system output tracks the desired trajectory. 展开更多
关键词 Data-driven control model-free adaptive fuzzy control(MFAFC) tracking control Takagi-Sugeno(T-S)fuzzy system
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Novel Finite-Time Adaptive Fuzzy Fault-Tolerant Control for Fractional-Order Nonlinear Systems and Its Applications 认领 引用 被引量：1
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作者 Xingxing You Songyi Dian +3 位作者 Bin Guo Quan Xiao Yuqi Zhu Kai Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第1期123-136,共14页
To address the finite-time tracking control problem for fractional-order nonlinear systems(FONSs) with actuator faults and external disturbance,a novel strategy of the finite-time adaptive fuzzy fault-tolerant control... To address the finite-time tracking control problem for fractional-order nonlinear systems(FONSs) with actuator faults and external disturbance,a novel strategy of the finite-time adaptive fuzzy fault-tolerant controller is presented in this paper by utilizing the finite-time stability theory and fractional-order dynamic surface control scheme combined with backstepping method.A new lemma is developed for analyzing the finite-time stability of FONSs in terms of fractional differential inequality,which modifies some existing results.Fuzzy logic systems are adopted to identify unknown nonlinear characteristics in FONS.In order to compensate for the influence of unknown external disturbance and estimation error for fuzzy logic systems,an auxiliary function is employed to estimate the upper bound of parameters online.Furthermore,a global coordinate transformation is first introduced initially to decouple the fractional-order dynamic system of a specific class of underactuated single-link flexible manipulator systems,thereby transforming it into lower triangular systems.Simulation analyses and experimental results verify the feasibility and effectiveness of finite-time tracking control algorithm. 展开更多
关键词 Dynamic surface control(DSC) fault-tolerant control(FTC) finite-time stability flexible manipulator fractional-order nonlinear systems(FONSs)
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Finite-Time Sliding-Mode Control for Semi-Markov Systems With Delayed Impulses 认领 引用 被引量：1
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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
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A multi-objective control system for temperature control accuracy improvement during run-out table cooling process 认领 引用
11
作者 Bao-Qian Tian Dian-Yao Gong +6 位作者 Cheng-Yan Ding Li-Jie Dong Qiu-Na Wang Guo Yuan Ke-Long Zhang Wei Zheng Jie Sun 《Journal of Iron and Steel Research International》 SCIE EI CSCD 2026年第2期131-147,共17页
Existing control systems for coiling temperature struggle with significant time lags and multi-objective synchronous control during cooling,limiting their temperature control accuracy.To overcome these drawbacks,an on... Existing control systems for coiling temperature struggle with significant time lags and multi-objective synchronous control during cooling,limiting their temperature control accuracy.To overcome these drawbacks,an online cooling system featuring multi-objective collaborative control is proposed.The proposed system achieves the synchronous control of the ultra-fast cooling temperature,middle temperature,and coiling temperature.First,the run-out table cooling zone is divided into multiple logical control zones,and traditional mechanism models are improved by introducing multiple heat flux adaptive coefficients.Then,a dynamic feedforward control method is developed to correct potential deviations in the calculation process.Finally,to enhance the proposed control system’s accuracy and self-learning capability,a multi-objective real-time adaptation strategy is introduced for dynamic heat flux adaptive coefficients adjustment.Analysis and application results show that the proposed multi-objective collaborative control system significantly improves the temperature control accuracy while ensuring the consistency of mechanical properties.Comparison results indicate that,under the proposed control system,the coiling temperature control accuracy within ±20℃ for segments located at 50 m from the strip head is improved by 26%,compared with the original control system.In addition,using the proposed system,the standard deviation of the yield strength is decreased by 38%,compared with the original control system. 展开更多
关键词 Run-out table Temperature control Multi-objective collaborative control system Dynamic feedforward control Multi-objective real-time adaptation
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Gain-Based Neural Secure Protection Control for Feedforward Nonlinear Systems With Unknown Control Coefficients and Impulsive FDI Attacks 认领 引用
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作者 Debao Fan Qingrong Liu +2 位作者 Rong Su Xianfu Zhang Wenjie Zhang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第5期1068-1081,共14页
This paper proposes a gain-based neural secure protection(GBNSP)control scheme for feedforward nonlinear systems subject to unknown control coefficients and impulsive false data injection(FDI)attacks.Notably,the nonli... This paper proposes a gain-based neural secure protection(GBNSP)control scheme for feedforward nonlinear systems subject to unknown control coefficients and impulsive false data injection(FDI)attacks.Notably,the nonlinear functions of the systems are relaxed to any continuous functions and the control coefficients are permitted to be constants with both unknown sizes and signs,a scenario not covered in existing works.Furthermore,the uncertain abrupt changes in system states caused by impulsive FDI attacks inevitably exacerbate the challenges in control design.To this end,this paper integrates the neural network technique and the gain control method to propose a novel GBNSP control scheme.Specifically,the neural network technique effectively compensates for strong nonlinearities and uncertainties,while the gain control method quantifies the tolerable frequency of impulsive FDI attacks and avoids the tedious design procedures.It is shown that,under the designed GBNSP controller,all closed-loop signals remain bounded and the system states eventually converge to an adjustable neighborhood near the origin.Moreover,an enhanced GBNSP control scheme incorporates an improved gain scaling mechanism to withstand unknown external disturbances.In the end,the effectiveness and practicality of the proposed scheme are validated by a theoretical example and a practical example. 展开更多
关键词 Feedforward nonlinear systems gain scaling control impulsive FDI attacks neural secure protection control unknown control coefficients
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Energy efficiency mapping-based dual-loop anti-disturbance control for active load-sensitive drive system 认领 引用
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作者 Quanrun MOU Xiaochao LIU +5 位作者 Zhenyu WANG Zhongyi QIU Weizhi QIAO Jing YAO Pengyuan ZHANG Zongxia JIAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第3期134-148,共15页
With the continuous development of science and technology and the growing severity of energy issues,load-sensitive drive systems have attracted significant attention in the electro–hydraulic servo field due to their ... With the continuous development of science and technology and the growing severity of energy issues,load-sensitive drive systems have attracted significant attention in the electro–hydraulic servo field due to their high energy efficiency.Currently,most research primarily focuses on introducing load-sensitive valves to achieve load-following through hydraulic-mechanical feedback.This approach has partially achieved the energy-saving goal,but issues such as reduced dynamic response speed and limited load-sensitive range due to mechanical structures remain.This paper proposes an active load-sensitive variable displacement drive system that no longer relies on mechanical structures for load-sensitive adjustment.And multiple energy efficiency mapping relationships are designed to complete the system's load-sensitive adjustment,thereby reducing throttling losses.Additionally,a dual-loop anti-disturbance control method based on energy efficiency mapping is proposed.An appropriate Lyapunov function is selected to prove that the control system ultimately tends to be bounded and stable,successfully solving the multiplicative nonlinear coupling control problem caused by the variable mechanism,and improving the system's position control accuracy.Experimental results show that under this control method,the active loadsensitive drive system can reduce flow by up to 60 % compared to the traditional fixed displacement hydraulic motor drive system.Compared to conventional PID control,the proposed method can improve control accuracy by up to 50 %,effectively reducing energy consumption while improving the position control accuracy of the active load-sensitive variable motor drive system. 展开更多
关键词 Electro-hydraulic drive system Active load-sensitive drive system Energy efficiency mapping Position control Adaptive control
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Bounded Control Gain Based Prescribed-Time Consensus of General Linear Multi-Agent Systems With Controllable Agent Dynamics 认领 引用
14
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
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Intelligent Safe Optimal Control Towards Koopman Operator-Driven Nonlinear Systems With Asymmetric State and Input Constraints 认领 引用
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作者 Yalu Su Ding Wang +3 位作者 Mingming Zhao Dan Xiong Yiyong Huang Wei Han 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第5期1135-1150,共16页
For unknown nonlinear systems subject to asymmetric state and input constraints simultaneously,this article establishes a safe value iteration paradigm to learn an optimal control policy in a data-based manner.Initial... For unknown nonlinear systems subject to asymmetric state and input constraints simultaneously,this article establishes a safe value iteration paradigm to learn an optimal control policy in a data-based manner.Initially,the Koopman operator,instead of the black-box neural network,is applied to extract the inherent dynamics of the controlled systems from the measured data,thereby allowing for explicit analysis of the prediction error.To tackle the issue posed by state and input constraints,a crafted control barrier function is seamlessly incorporated into the canonical utility function,which retains the property of positive definiteness for the asymmetric case.Moreover,the value iteration algorithm with regard to the augmented utility function is adopted to attain a safe optimal controller,where the actor and critic networks are leveraged to approximate the control input and associated value function,respectively.The monotonicity,safety,and stability of the raised algorithm are further verified rigorously.Via performing three experiments on the linear system,the nonlinear system,and the manipulator plant,comparative results are obtained to substantiate the superiority and efficacy of the developed approach in achieving optimal performance and safe guarantee. 展开更多
关键词 Adaptive optimal control constrained value iteration control barrier function discrete-time nonlinear systems reinforcement learning Koopman operator
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Exponential Synchronization of Infinite-Dimensional Stochastic Systems With Poisson Jumps Under Aperiodically Intermittent Impulse Control 认领 引用
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作者 Lili Chen Yiqun Liu +1 位作者 Yanfeng Zhao Zhen Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期383-393,共11页
A novel aperiodically intermittent impulse control(AIIC)method is proposed to investigate the exponential synchronization in mean square(ESMS)of a class of impulsive stochastic infinite-dimensional systems with Poisso... A novel aperiodically intermittent impulse control(AIIC)method is proposed to investigate the exponential synchronization in mean square(ESMS)of a class of impulsive stochastic infinite-dimensional systems with Poisson jumps(ISIDSP).The AIIC control strategy inherits the flexibility of aperiodically intermittent control,including the variable control period,adjustable control interval length,and the discretization of impulsive control.In addition,this article introduces a novel mild Itô's formula.By leveraging semigroup theory,the contraction mapping principle,and graph theory,along with constructing the Lyapunov function,the criterion for the existence and uniqueness of a mild solution of ISIDSP is thereby established.Furthermore,the mean-square exponential synchronization problem of the above systems is resolved,and the constraints within the mild solution domain are alleviated.These criteria clarify the impact of control parameters,control intervals and network topology on ESMS.The theoretical results are subsequently applied to a class of neural networks with reaction-diffusion processes,and the validity of the results is verified using numerical simulations. 展开更多
关键词 Complex network exponential synchronization impulse control infinite dimensional system intermittent control
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A Hybrid MZOA-PSO Optimized Cascaded PI(1+DD)-PI-PID Controller for Frequency Stability of Interconnected Power Systems with Renewable Energy and Electric Vehicles 认领 引用
17
作者 AL-Wesabi Ibrahim Hassan M.Hussein Farh +3 位作者 Jiazhu Xu Mohamad A.Alawad Ahmed Alqurashi Abdullrahman A.Al-Shamma’a 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期650-697,共48页
Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable e... Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable energy sources and the impact of electric vehicles on the power system.Although various PI/PID and other advanced control strategies have been employed for LFC in power systems,the existing methods have shown some limitations in terms of dynamic flexibility and robustness in the presence of nonlinearities and couplings in the power systems.Moreover,the optimization methods employed for the tuning of the controllers have shown some limitations in terms of the balance between global and local search abilities of the optimization functions.To overcome the limitations of the existing methods and optimization functions,a hybrid Modified Zebra Optimization Algorithm-Particle Swarm Optimization(MZOA-PSO)is presented in this paper for the optimization of a cascaded PI(1+DD)-PI-PID controller for LFC in power systems.The MZOA enhances the original ZOA by chaotic initialization,adaptive parameter control,and Lévy-flight foraging to improve the global search ability,while PSO ensures efficient local search ability.The optimizer is first validated using four benchmark functions,achieving the global optimum for the Booth and Zakharov functions,a mean value of 2.13×10−28 with a 98%success rate for Rosenbrock,and 3.21×10−81 for Schwefel 2.22.Under a 1%step load perturbation,the proposed controller achieves a 13 s settling time,zero negative deviation in Area 2,a maximum positive excursion of 0.10 Hz,and tie-line undershoot limited to−0.10 p.u.Under random load variations,deviations remain within±0.03 Hz and±0.02 p.u.Under RES and EV integration,the peak frequency deviation is reduced to 0.46 Hz in Area 1.These results confirm that the proposed hybrid MZOA-PSO tuned cascaded controller provides improved damping,faster stabilization,and stronger robustness for modern interconnected LFC systems. 展开更多
关键词 Load frequency control cascaded PI(1+DD)-PI-PID controller hybrid MZOA-PSO algorithm interconnected power systems performance optimization
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Dual-Mode Data-Driven Iterative Learning Control:Applications in Precision Manufacturing and Intelligent Transportation Systems 认领 引用
18
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
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Adaptive Fault-Tolerant Consensus Tracking Control for Nonlinear Multi-Agent Systems With Double Semi-Markovian Switching Topologies and Unknown Control Directions 认领 引用 被引量：1
19
作者 Chao Zhou Zehui Mao +1 位作者 Bin Jiang Xing-Gang Yan 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期463-476,共14页
This paper is concerned with adaptive consensus tracking control of nonlinear multi-agent systems with actuator faults and unknown nonidentical control directions under double semi-Markovian switching topologies.Consi... This paper is concerned with adaptive consensus tracking control of nonlinear multi-agent systems with actuator faults and unknown nonidentical control directions under double semi-Markovian switching topologies.Considering the complex working environment and the stability differences in communication links between leaders and followers,a double semi-Markov process is first introduced to describe the random switching of communication topologies in the leader-follower structure.In order to address challenges from the unknown nonidentical control directions and partial loss of effectiveness actuator faults,a completely independent parameter is introduced into the Nussbaum function to overcome the inherent obstacle of mutual cancellation and avoid the rapid growth rate.Considering only the state information of agents is transmitted among the agents,an adaptive distributed fault-tolerant consensus tracking control is proposed based on the double semi-Markovian switching topologies using the designed Nussbaum function.Furthermore,the stability of the closed-loop nonlinear multi-agent systems is analyzed using contradiction argument and Lyapunov theorem,from which the asymptotic consensus tracking in mean square sense can be obtained.A numerical simulation example is provided to verify the effectiveness of the proposed algorithm. 展开更多
关键词 Adaptive control consensus tracking double semi-Markovian switching topologies fault-tolerant control Nussbaum function unknown nonidentical control directions
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New Controllability Criteria for Linear Switched and Impulsive Systems 认领 引用
20
作者 Jiayuan Yan Bin Hu +2 位作者 Zhi-Hong Guan Yandong Hou Lei Shi 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第4期830-832,共3页
Dear Editor,In this letter,several novel controllability results for a class of linear switched and impulsive systems are established.Different from the developed controllability conditions in most existing literature... Dear Editor,In this letter,several novel controllability results for a class of linear switched and impulsive systems are established.Different from the developed controllability conditions in most existing literature,the important role of switched and impulsive time sequence is considered.Applying the relevant geometric theory of matrix,a necessary and sufficient criterion for the controllability is firstly developed to judge when the controllability of such systems is affected by switched and impulsive time sequence.Furthermore,we further obtain a sufficient controllability condition that can be used to verify the controllability of such systems regardless of the switched and impulsive time sequence.Finally,a numerical example is given to verify the obtained theoretical results. 展开更多
关键词 switched systems controllability linear switched impulsive systems switched impulsive time sequence impulsive systems linear systems developed controllability conditions switched impulsive time
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