Article
Automation & Control Systems
Yue-Yue Tao, Zheng-Guang Wu, Tingwen Huang, Prasun Chakrabarti, Choon Ki Ahn
Summary: This study focuses on the design problem of asynchronous event-triggered output-feedback controller for discrete-time singular Markov jump systems. A hidden Markov model is used to estimate the system mode, and an output-feedback control scheme and HMM-based event-triggered mechanism are employed to reduce the communication burden. Sufficient conditions for the stochastic admissibility of the closed-loop system with a prescribed H-infinity performance index are established using the Lyapunov functional technique, and the design procedures are summarized as an optimization algorithm based on linear matrix inequalities.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Guangtao Ran, Zhan Shu, Hak-Keung Lam, Jian Liu, Chuanjiang Li
Summary: This article addresses the problem of multiple-event-triggered dissipative tracking control for nonlinear Markov jump systems with incomplete transition probabilities. It proposes a methodology involving two adaptive event-triggered schemes for the actuator and sensor channels. By using a fuzzy model and a hidden Markov model, the underlying nonlinearities and possible asynchronous phenomenon are captured. The desired tracking controller is established based on the Lyapunov and dissipativity theory.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Jiahui Wang, Yabin Gao, Zhiguang Feng, Guanghui Sun, Jianxing Liu, Ligang Wu
Summary: This article addresses the problem of sliding-mode variable-structure control (VSC) under dynamic event-triggered communication in hidden Markov jump systems over sensor networks. A round-robin protocol (RRP)-based event-triggering communication mechanism is proposed to alleviate communication burden. New static output-feedback VSC laws are designed with an interval type-2 fuzzy neural network for approximating uncertainties. The paper develops techniques to analyze the RRP-based Markov jump system in continuous time and provides sufficient conditions for semiglobal practical finite-time stochastic stability. Numerical simulations confirm the feasibility of the proposed method.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Automation & Control Systems
Zehui Xiao, Jiawei Chen, Muxi Xu, Xuexi Zhang, Jie Tao
Summary: This article addresses the synthesis of static output feedback stabilization via employing event-based control for discrete-time Markov jump systems subject to limited bandwidth and mismatched modes. The study introduces an event-triggered communication strategy with an extra dynamic variable and a specially constructed triggering threshold to achieve stochastic stabilization.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Guangtao Ran, Chuanjiang Li, Rathinasamy Sakthivel, Chunsong Han, Bohui Wang, Jian Liu
Summary: This article investigates the problem of adaptive event-triggered dissipative control for interval type-2 fuzzy nonlinear Markov jump systems subject to asynchronous switching and cyberattacks. An adaptive event-triggered mechanism (AETM) is introduced to fully utilize the limited network resources and alleviate the pressure of network communication. The proposed algorithm is validated by two examples.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Automation & Control Systems
Yue-Yue Tao, Zheng-Guang Wu
Summary: This article focuses on the asynchronous H-infinity control problem for discrete-time hidden Markov jump systems with complex mode transition probabilities. The significance of this study lies in the practical estimation of system modes using a hidden Markov model and the consideration of complex probabilities in both processes of the HMM. The established results can cover special cases and the effectiveness is demonstrated through examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Mechanical
Ruipeng Liang, Zehui Xiao, Zhenyu Wu, Jie Tao, Xiaofeng Wang
Summary: This study focuses on the investigation of asynchronous sliding mode control for Takagi-Sugeno fuzzy Markov jump systems. A novel dynamic event-triggered scheme is proposed to save computation resources. Hidden Markov model is used to represent the asynchronization between the sliding mode controller and the controlled system, and a Lyapunov functional is constructed to provide stability conditions and a SMC law.
NONLINEAR DYNAMICS
(2022)
Article
Computer Science, Artificial Intelligence
Guangtao Ran, Jian Liu, Chuanjiang Li, Hak-Keung Lam, Dongyu Li, Hongtian Chen
Summary: This article addresses the event-triggered asynchronous fault detection problem of fuzzy-model-based nonlinear Markov jump systems with partially unknown transition probabilities. An adaptive event-triggered scheme and a hidden Markov model are introduced to propose a new fault detection method, which is verified through numerical simulation.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Ting Shi, Peng Shi, Zheng-Guang Wu
Summary: This article investigates model predictive control for discrete-time Markov jump systems, introducing dynamic event-triggered mechanism and asynchronous control to address mode asynchronization, reducing computational cost and improving stability. The control algorithm is formulated as a convex optimization problem, with recursive feasibility and closed-loop mean-square ISS studied for effectiveness validation through simulations.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Mathematics, Applied
Lifei Xie, Jun Cheng, Hailing Wang, Jiange Wang, Mengjie Hu, Zhidong Zhou
Summary: This paper addresses the asynchronous control problem for semi-Markov switching systems with a memory-based event-triggered mechanism. A novel mode-dependent memory-based event-triggered mechanism is proposed to reduce triggering intervals and improve dynamic performance. By utilizing a hidden semi-Markov model and historic released data, a memory asynchronous control strategy is skillfully synthesized, and the feasibility of the approach is verified through a practical example.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Mathematics, Applied
Xiaofeng Ma, Jingjing Dong, Weipeng Tai, Jianping Zhou, Wojciech Paszke
Summary: This paper investigates the issue of asynchronous event-triggered control for two-dimensional Markov jump systems subject to networked random packet losses. An event-triggered strategy is given to relieve the communication pressure with independent triggering behavior in the horizontal and vertical directions. The paper establishes a sufficient condition to ensure stochastic stability and H-infinity performance and proposes a method for designing an asynchronous event-triggered controller.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Engineering, Electrical & Electronic
Jing Wang, Tingting Ru, Jianwei Xia, Hao Shen, Victor Sreeram
Summary: This paper investigates the finite-time sliding mode control issue for a series of semi-Markov jump systems and proposes an asynchronous event-triggered sliding mode control law. By introducing an event-triggered protocol and mode-dependent Lyapunov functions, the sufficient conditions are derived to ensure that the closed-loop system is mean-square finite-time bounded in both reaching and sliding motion phases.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Automation & Control Systems
San Wang, Zheng-Guang Wu, Yue-Yue Tao
Summary: In this article, we study the asynchronous H-infinity control problem of a class of hidden Markov jump systems subject to actuator saturation in the continuous-time domain. By establishing a hidden Markov model and applying Lyapunov theory, sufficient conditions are presented to ensure the stochastic mean square stability of the resulting closed-loop system within the domain of attraction. The state feedback gain matrix and the estimation of the domain of attraction are obtained by solving an optimization problem constructed using linear matrix inequality techniques.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Min Xue, Huaicheng Yan, Hao Zhang, Jun Sun, Hak-Keung Lam
Summary: This article addresses the issue of imperfect premise matching and asynchronous behavior in H-infinity output tracking control for Takagi-Sugeno fuzzy Markov jump systems. A hidden Markov model is utilized to capture the asynchronous phenomenon between system and controller modes, with packet loss described by a stochastic variable. Novel Lyapunov function is employed to derive stability criteria and develop an asynchronous control scheme with H-infinity tracking performance, validated through two examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Theory & Methods
Wenqian Xie, Sing Kiong Nguang, Hong Zhu, Yuping Zhang, Kaibo Shi
Summary: This paper investigates the network-based H-infinity control problem for Takagi-Sugeno fuzzy Markov jump systems with communication delays. Novel mode-dependent event-triggered communication scheme (ETCS) is proposed, and an asynchronous controller based on a hidden Markov model is designed to stabilize the fuzzy Markov jump systems. A less restrictive Lyapunov-Krasovskii functional is introduced for event-triggered asynchronous control issue. Sufficient conditions are obtained to ensure the stochastic stability with a prescribed H(infinity )performance.
FUZZY SETS AND SYSTEMS
(2022)
Article
Automation & Control Systems
Jun Cheng, Yuyan Wu, Zheng-Guang Wu, Huaicheng Yan
Summary: This article focuses on the issue of nonstationary filtering for uncertain fuzzy Markov switching affine systems (FMSASs) with quantization effects and deception attacks (DAs). A novel nonstationary region-dependent affine filter strategy is developed to deal with the multinetwork-induced constraints. The conditions for mean-square exponentially stable filtering error system are obtained.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Junjie Fu, Guanghui Wen, Xinghuo Yu, Zheng-Guang Wu
Summary: This article considers the problem of distributed formation navigation for second-order multiagent systems subject to velocity and input constraints. The controller design takes into account both collision avoidance and network connectivity maintenance. The control barrier function method is used to achieve multiple control objectives while satisfying the constraints. A distributed leader-following formation controller is proposed to handle switching communication graphs and maintain velocity and input constraints. A topology-based connectivity maintenance strategy and barrier function-based constraints for collision avoidance are also presented. Simulation results demonstrate the effectiveness of the proposed control strategy.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Shanling Dong, Lu Liu, Gang Feng, Meiqin Liu, Zheng-Guang Wu, Ronghao Zheng
Summary: This article explores the cooperative output regulation problem for discrete-time heterogeneous multiagent Markov jump systems, investigating two cases of output regulation quadratic control. The hidden Markov models are used to describe the asynchronous modes of the agents and their controllers, with asynchronous control laws constructed via the jumping regulator equation. Control parameters are obtained using algorithms based on linear matrix inequalities, and an optimal synchronous/mode-dependent control law is also given through stochastic dynamic programming. An example is provided to demonstrate the effectiveness of the proposed approaches.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Shanling Dong, Lu Liu, Gang Feng, Meiqin Liu, Zheng-Guang Wu
Summary: This article investigates the cooperative output regulation problem for heterogeneous nonlinear multiagent systems subject to disturbances and quantization, using distributed reference generators and fuzzy cooperative controllers to ensure output synchronization of the closed-loop multiagent system.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Ting Shi, Peng Shi, Zheng-Guang Wu
Summary: This article investigates model predictive control for discrete-time Markov jump systems, introducing dynamic event-triggered mechanism and asynchronous control to address mode asynchronization, reducing computational cost and improving stability. The control algorithm is formulated as a convex optimization problem, with recursive feasibility and closed-loop mean-square ISS studied for effectiveness validation through simulations.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Engineering, Electrical & Electronic
Yong Xu, Jian Sun, Ya-Jun Pan, Zheng-Guang Wu
Summary: This paper presents a nonlinear coupled controller with the deadband control method for consensus seeking in MASs. It also introduces a node-based adaptive event-triggered controller. Theoretical analysis demonstrates that the proposed deadband-based event-triggered mechanisms ensure average consensus with reduced communication and control data.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Automation & Control Systems
Zheng-Guang Wu, Yue-Yue Tao
Summary: This article focuses on the guaranteed cost control for 2-D Markov jump Roesser systems with mismatched modes. It introduces a hidden Markov model to address the asynchronous phenomenon caused by mismatched modes and designs an asynchronous linear state-feedback control law. By utilizing 2-D Lyapunov function and LMI techniques, sufficient conditions are established to ensure system stability and guaranteed cost under different boundary conditions. An algorithm for the optimal asynchronous guaranteed cost control law design is proposed, with a numerical example to validate its effectiveness.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Yong-Sheng Ma, Wei-Wei Che, Chao Deng, Zheng-Guang Wu
Summary: This article studies the observer-based event-triggered containment control problem for linear multiagent systems under denial-of-service attacks, proposing an improved separation method-based observer design method and a novel observer-based event-triggered containment controller design method to make the systems resilient to DoS attacks.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Yuxin Wu, Deyuan Meng, Zheng-Guang Wu
Summary: This article focuses on overcoming the effect of time-varying topologies and identifying the behaviors of cooperative-antagonistic networks (CANs). The extended leader-follower (ELF) framework allows each leader to dynamically evolve through communication with its neighbors. The study shows the emergence of a new class of bipartite containment fluctuation behaviors in CANs, where leaders are clustered into separate groups, achieving modulus consensus, while followers fluctuate within a bounded region. A simulation example is provided to demonstrate the effectiveness of the behavior analysis results for CANs.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Liqing Wang, Zheng-Guang Wu, James Lam
Summary: This paper studies the output feedback control (OFC) stabilization of hidden Markov Boolean control networks (HMBCNs). The OFC problems are formulated in algebraic form using the semi-tensor product of matrices. All feasible OFC gains are characterized. A specific type of attack, called shifting attack, is investigated for HMBCNs. Necessary and sufficient conditions for the security of HMBCNs under shifting attacks are presented, along with constraints for attacked systems. Furthermore, necessary and sufficient conditions for the security of HMBCNs with ?-measurements protected are presented, and the minimum number of measurements to be protected is elaborated. Finally, a simulation example based on a biological system is provided to demonstrate the effectiveness of the obtained results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Civil
Yong Xu, Zheng-Guang Wu, Ya-Jun Pan
Summary: This paper investigates the resilient distributed secure output path following control problem of heterogeneous autonomous ground vehicles (AGVs) subject to cyber attacks based on reinforcement learning algorithm. The study considers multiple communication channels launched by different attackers and proposes a predictor-acknowledgement clock algorithm to judge the attacked communication channels. A resilient distributed predictor and a resilient local control protocol are developed for predicting and controlling the path following problem. The optimal control problem is solved using discounted algebraic Riccati equations (AREs) and an off-policy reinforcement learning (RL) algorithm is proposed to learn the solution online.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Zheng-Guang Wu, Liqing Wang
Summary: In this article, the l(1)-induced performance of the stochastic switched Boolean control network is investigated. Asynchronous state feedback control is studied to achieve the control objective. Sufficient conditions are obtained for system stabilization and prescribed performance level using matrix algebra and inequalities. Examples are presented to demonstrate the effectiveness of the results.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Yong-Sheng Ma, Wei-Wei Che, Chao Deng, Zheng-Guang Wu
Summary: This article investigates the problem of model-free adaptive resilient control (MFARC) for nonlinear cyber-physical systems (CPSs) under aperiodic jamming attacks. The MFARC framework is established and an intermediate variable method is introduced to address the issue of unavailable time-varying parameters. A MFARC scheme is devised to track the desired output and solve a feasibility problem, with controller parameters obtained using linear matrix inequality technique. Additionally, a novel attack compensation mechanism is developed to mitigate the impact of aperiodic jamming attacks.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wei-Dong Xu, Xiang-Gui Guo, Jian-Liang Wang, Wei-Wei Che, Zheng-Guang Wu
Summary: This article investigates a nonlinear disturbance observer (NDO)-based fault-tolerant sliding-mode control (SMC) for 2-D plane vehicular platoon systems. It solves the problem of actuator faults, nonlinear actuator saturation, nonlinear unmodeled dynamics, and unknown external disturbance. The proposed scheme is effective and advantageous, as demonstrated by simulation results.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
