Article
Computer Science, Information Systems
Guangdeng Zong, Chunxiao Huang, Dong Yang
Summary: This paper addresses the bumpless transfer fault detection problem for switched systems under state-dependent switching by proposing a novel constraint approach and a state-dependent switching law. The method effectively reduces the bumps of residual signals caused by switching while achieving improved fault detection performance.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Wenqin Wang, Xin Qi, Shouming Zhong, Feng Liu
Summary: This article studies the finite-time boundedness and control problem for time-delay switched systems with uncertainties. The delay is considered as time-varying delay rather than constant delay, which is more suitable for practical engineering. The author first researches the property of finite time boundedness for uncertain switched system without control input by constructing a proper Lyapunov-Krasovskii functional (LKF) and minimum LKF switching rules. Then, a state feedback controller with switching is designed, and sufficient conditions for finite-time boundedness of time-delay switched systems with control input and controller gain are presented by utilizing Finsler's Lemma and singular value decomposition (SVD). Additionally, a filter system is designed to obtain the finite time boundedness and filter parameters of the closed-loop error system using the auxiliary matrix method. The proposed methods are demonstrated to be feasible and the significance of switching rule is shown through two numerical examples.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Mathematics, Applied
Yunrui Han, Ying Zhao, Peng Wang
Summary: The paper proposes a switching control scheme for the finite-time rate anti-bump switching control problem in switched systems, aiming to alleviate undesirable large jumps at switching points while achieving disturbance restrain. An improved definition of the rate anti-bump switching property is presented, and a switching control technique is developed to ensure solvability of the control issue. A verification example is provided to demonstrate the reasonability of the developed theory.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Automation & Control Systems
Xue Sun, Dong Yang, Guangdeng Zong
Summary: This paper presents a novel switching dynamic event-triggered mechanism to address the boundedness H-infinity control problem for switched fuzzy systems. By designing internal variables and establishing a Lyapunov-like function, the performance of the proposed mechanism is ensured. The effectiveness of the method is validated through an example.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Automation & Control Systems
Yuqing Chen, Xinying Wang, Ying Zhao
Summary: This article focuses on the finite-time input anti-bump switching control issue for delay switched systems. A sufficient criterion and control method are proposed, and the validity is demonstrated through simulation verification.
Article
Automation & Control Systems
Wenqin Wang, Xin Qi, Shouming Zhong, Feng Liu
Summary: This paper explores the finite-time boundedness and controller problem of switching nonlinear delay systems. By selecting an appropriate Lyapunov-Krasovskii functional and using the auxiliary matrix method, the upper and lower bounds of integral terms are obtained and the Lyapunov matrix is separated from the system matrix. A new state-dependent switching law is designed to switch between subsystems. The finite-time boundedness of delayed system without control input is analyzed and a sufficient condition for the finite-time boundedness of switched systems with control input is obtained. An observer-based H-infinity controller is designed to ensure the boundedness and H-infinity performance of the closed-loop system with time-varying delay. Simulations are conducted to verify the effectiveness and feasibility of the proposed methods.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Mathematics, Applied
Jinghan Li, Jun Zhao
Summary: This paper investigates the problem of bumpless transfer based event-triggered control for switched linear systems. It proposes a description and strategy for event-triggered bumpless transfer, and ensures system stability through the design of a switching law, event-triggered mechanism, and controller using the multiple Lyapunov functions method. Simulation examples are provided to verify the effectiveness of the developed approach.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Ying Zhao, Mingchuan Pang, Peng Wang, Shuanghe Yu
Summary: This article proposes an interval observer-based bumpless switching control scheme for switched systems, which can stabilize the system and reduce the unwanted big steps in the control signal.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Theory & Methods
Guangdeng Zong, Xue Sun, Dong Yang, Shun-Feng Su, Kaibo Shi
Summary: This paper investigates the finite-time H-infinity control problem for switched fuzzy systems using the edge-dependent average dwell time switching. A dynamic event-triggered mechanism is adopted to alleviate communication pressure, and an adaptive law is set up to adjust the threshold on-line, which deeply affects the triggering times. It is rigorously proved that the Zeno behavior is excluded. A set of dynamic event-triggered controllers and edge-dependent average dwell time switching signals are co-designed to achieve desired performance. Finally, a chemical reaction example is given to validate the effectiveness of the proposed method.
FUZZY SETS AND SYSTEMS
(2023)
Article
Automation & Control Systems
Jinghan Li, Jun Zhao
Summary: This article focuses on the reachable set estimation and the state-feedback controller design for switched linear systems with a state-dependent switching and event-triggered control. It proposes an event-triggered bumpless transfer mechanism to estimate the reachable set and provides a co-design of the event-triggered mechanism, switching law, and controller gain. The study also avoids Zeno behavior and designs a state-feedback controller with a preset ellipsoid.
Article
Computer Science, Information Systems
Hong Sang, Hong Nie, Zhuoyu Li, Jun Zhao
Summary: This research investigates the H-infinity filtering problem for a class of discrete-time switched Takagi-Sugeno (T-S) fuzzy systems with time-varying delay. The fading rates in the channel fading phenomenon are described by a random variable with known statistical properties. Unlike previous results, all subsystems of the considered switched fuzzy delayed systems can be unstable. The improved state-dependent switching mechanism and Lyapunov-Krasovskii functional (LKF) are constructed to overcome the faults of the existing min-switching mechanism.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Xiaodi Li, Dan Yang
Summary: This article investigates the problem of globally exponential stability for a class of nonlinear impulsive switched systems. The results show that both impulse action and state-dependent switching action can contribute to the stability of the systems, depending on the frequency of impulses and the stability of the continuous dynamics.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Information Systems
Jing Wang, Xiaohui Hu, Jianwei Xia, Ju H. Park, Hao Shen
Summary: This paper discusses the distributed H-infinity state estimation problem for sensor networks with switching characteristics, where parameters switch according to a persistent dwell-time switching mechanism. The paper focuses on deriving criteria for achieving stability with H-infinity performance and solving estimator gains using convex optimization. The proposed approach is validated through a numerical example.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Ying Zhao, Mingchuan Pang, Dan Ma, Shuanghe Yu
Summary: This paper presents a multi-objective switching control strategy to capture both the robust guaranteed cost performance and the rate anti-bump switching performance of switched systems. Through co-constructing a switching law and a switching controller, the strategy overcomes the possible conflict in performance demands. By regulating the acceleration of a switched engine model, the efficiency of the approach is verified.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Li Tang, Xin-Yu Zhang, Yan-Jun Liu, Shaocheng Tong
Summary: This article proposes a multiple Lyapunov function approach to address the adaptive tracking control problem for switched uncertain nonlinear systems with state constraints. The system functions are approximated using radial basis function neural networks (RBFNNs). Barrier Lyapunov functions (BLFs) are chosen for the state constraint problem to ensure satisfaction of the constraints. By designing a state-dependent switching law and employing backstepping technique, an adaptive NN controller is constructed to achieve bounded signals, track the reference signal, and satisfy the constraint conditions.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Yunjun Chen, Xin Mao, Guangdeng Zong, Dong Yang, Kaibo Shi
Summary: This paper investigates the event-triggered finite-time dynamic output feedback control for switched affine systems with asynchronous switching. The finite-time stability performance of the closed-loop systems is achieved by setting up a dynamic output feedback switched affine controller together with an event-triggered mechanism. The study discusses the system dynamics under the proposed mechanism during the synchronous and asynchronous switching intervals, emphasizing the existence of the lower bound on interevent intervals to exclude the occurrence of Zeno behavior.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Fabin Cheng, Huanqing Wang, Guangdeng Zong, Ben Niu, Xudong Zhao
Summary: This article considers the problem of finite-time command-filtered control for switched nonlinear systems with input quantization and output constraints. The unmeasurable state is estimated by designing a switched state observer. Hysteresis quantization and barrier Lyapunov function approach are used to solve the chattering problem and restrict the output to an expected range. A first-order Levant differentiator is used to accurately filter the intermediate signals and ensure the finite-time stability of the filter. Stability of the closed-loop system is proved using multiple Lyapunov functions.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Automation & Control Systems
Hongzhen Xie, Guangdeng Zong, Dong Yang, Yunjun Chen, Kaibo Shi
Summary: This article addresses the asymptotic stabilization problem of switched affine systems with unmeasurable states and time delay by constructing a novel dynamic event-triggered mechanism and designing dynamic output feedback switched controllers. The proposed approach successfully avoids Zeno behavior and maintains system stability.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Hongzhen Xie, Guangdeng Zong, Dong Yang, Kaibo Shi
Summary: This paper addresses the problems of input-to-state practical stability analysis and output feedback controller design for switched affine systems subject to external disturbances. A switched affine observer is developed to estimate unmeasurable states. By combining the sampled-data control approach, a less conservative mode-dependent dynamic event-triggered mechanism is established, which can avoid Zeno behavior and effectively reduce the network transmission burden. Feasible input-to-state practical stability conditions are presented based on time-dependent Lyapunov-Krasovskii functional and state-dependent switching laws in LMI forms. The designed switching law depends on the sampled-data information of the estimated state and eliminates the chattering phenomenon. An application example of the DC-DC flyback converter is given to verify the efficacy of the proposed algorithm.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Mathematics, Interdisciplinary Applications
Yanwei Zhao, Huanqing Wang, Ning Xu, Guangdeng Zong, Xudong Zhao
Summary: This paper addresses the problem of decentralized fault tolerant control for interconnected nonlinear systems using a reinforcement learning strategy. By constructing an improved cost function and decentralized optimal control policies, the entire system can be stabilized in terms of uniform ultimate boundedness. A simplified single critic network architecture is developed to acquire the solutions of Hamilton-Jacobi-Bellman equations. The effectiveness of the designed method is validated through numerical and practical simulation examples.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Computer Science, Theory & Methods
Guangdeng Zong, Xue Sun, Dong Yang, Shun-Feng Su, Kaibo Shi
Summary: This paper investigates the finite-time H-infinity control problem for switched fuzzy systems using the edge-dependent average dwell time switching. A dynamic event-triggered mechanism is adopted to alleviate communication pressure, and an adaptive law is set up to adjust the threshold on-line, which deeply affects the triggering times. It is rigorously proved that the Zeno behavior is excluded. A set of dynamic event-triggered controllers and edge-dependent average dwell time switching signals are co-designed to achieve desired performance. Finally, a chemical reaction example is given to validate the effectiveness of the proposed method.
FUZZY SETS AND SYSTEMS
(2023)
Article
Automation & Control Systems
Haiyang Chen, Guangdeng Zong, Xudong Zhao, Fangzheng Gao, Kaibo Shi
Summary: This article investigates the finite-time secure filter design of fuzzy switched cyber-physical systems equipped with a resource-constraint network that may undergo false data injection attacks (FDIAs). A multidomain probabilistic event-triggered mechanism (MDPETM) is developed to strike a balance between resource consumption and filtering performance, and a delayed switching signal is used to characterize the mode mismatched phenomenon between the filter and the system. Fuzzy mismatched secure filters are then devised based on MDPETM and a virtual delay partitioning approach, and filter-mode-dependent Lyapunov functionals are created to achieve finite-time boundedness of the filtering error subject to admissible FDIAs.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Qian Xu, Guangdeng Zong, Yunjun Chen, Ben Niu, Kaibo Shi
Summary: This paper investigates the command filter-based adaptive neural network tracking control problem for uncertain nonsmooth nonlinear systems. An integral barrier Lyapunov function is introduced to handle the symmetric output constraint, and the Filippov's differential inclusion theory and approximation theorem are used to convert the nonsmooth nonlinear system to an equivalent smooth nonlinear system. Levant's differentiator is employed to handle the complexity explosion problem, and an error compensation mechanism is established to attenuate the effect of filtering error on control performance. By resorting to the backstepping technique, an adaptive neural network controller is set up. It is mathematically proved that the tracking error can converge to an arbitrarily small neighborhood of the origin, and all signals in the closed-loop system are semi-globally uniformly ultimately bounded. Numerical and application examples are provided to demonstrate the effectiveness of the proposed control strategy.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Jiaming Zhang, Ben Niu, Ding Wang, Huanqing Wang, Peiyong Duan, Guangdeng Zong
Summary: In this paper, a neural-networks-based adaptive asymptotic tracking control scheme is proposed for uncertain nonstrict feedback nonlinear systems. By constructing a nonlinear mapping and employing design methods, the constraints and asymptotic tracking performance are simultaneously satisfied.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Hongzhen Xie, Guangdeng Zong, Dong Yang, Yunjun Chen, Kaibo Shi
Summary: This work focuses on dynamic output feedback L. control for switched affine systems with dwell time constraints. An improved event-triggered condition is proposed to prevent triggering Zeno behavior, and a novel dynamic output feedback switched affine controller is constructed to achieve a more rigorous and complete control strategy.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2023)
Article
Automation & Control Systems
Haiyang Chen, Fangzheng Gao, Guangdeng Zong
Summary: This article proposes a solution to the finite-time dissipative fuzzy state estimation problem for mixed cyber attacks. It reduces unwanted network traffic through a probabilistic event-triggered mechanism and tackles dual asynchronizations. By constructing Takagi-Sugeno fuzzy state estimators based on imperfect measurements, and establishing less conservative criteria, the strictly finite-time state estimation performance is achieved.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Wenhai Qi, Yakun Hou, Ju H. Park, Guangdeng Zong, Jinde Cao, Jun Cheng
Summary: This article focuses on the problem of discrete-time sliding mode control (DTSMC) for uncertain networked semi-Markovian switching systems (S-MSSs) under random denial-of-service (DoS) attacks. The semi-Markovian kernel (SMK) approach is used for controlling the switching between different modes, and a sliding mode function related to the attack probability is constructed to analyze the impact of malicious attacks. Sufficient conditions are derived to ensure that the proposed DTSMC law can drive the system dynamics onto the preset sliding region within a limited time.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Fabin Cheng, Hongjing Liang, Huanqing Wang, Guangdeng Zong, Ning Xu
Summary: An adaptive neural bipartite tracking control approach is proposed for nonlinear multi-agent systems in this article. The paper considers a cooperative-competitive relationship in multi-agent systems and designs a distributed self-triggered communication strategy to improve system efficiency. The designed controller can compensate for actuator failure and nonlinearity, increasing system fault-tolerance.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Liang Zhang, Guangdeng Zong, Xudong Zhao, Ning Zhao, Sanaa Sharaf
Summary: This article investigates the problem of reachable set control for a class of discrete-time Takagi-Sugeno fuzzy singular Markov jump systems (T-S FSMJSs) with time-varying delay and disturbance for the first time. Two new sufficient conditions for the reachable set control are established by designing the state feedback and output feedback controllers, and based on the Lyapunov functional. The state feedback and output feedback controller gains are obtained by optimizing the iterative algorithm. The validity and usability of the proposed methods are demonstrated through two examples with practical application background.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Guangdeng Zong, Qian Xu, Xudong Zhao, Shun-Feng Su, Limei Song
Summary: This article discusses the output-feedback adaptive neural network control problem for nonsmooth nonlinear systems with input deadzone and saturation. By converting the nonsmooth input to a smooth function, and introducing an appropriate observer and adaptive backstepping technique, an output-feedback adaptive strategy is established. A new stability criterion is also proposed to ensure the boundedness of the system. Comparative simulations are conducted to validate the effectiveness of the proposed control algorithm.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
