Article
Automation & Control Systems
Jiafeihong Chen, An Ning, Shan Jiang, Zhiping Wang, Guanzheng Du, Longbao Yu
Summary: This article explores the control problem of Markov jump systems with actuator saturation and partial mode information. An asynchronous phenomenon between the controller and the plant is addressed using a hidden Markov model. Sufficient conditions for guaranteed stochastic stability of the saturated Markov jump systems are obtained using the convex hull method. Finally, a numerical example is provided to demonstrate the effectiveness of the algorithm.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
(2023)
Article
Automation & Control Systems
Yufeng Tian, Zhanshan Wang
Summary: This paper studies the admissibility of Takagi-Sugeno (T-S) fuzzy descriptor systems with time-varying delay and proposes a nonorthogonal free-matrix inequality approach to reduce conservatism and obtain a less conservative admissibility criterion.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Chemical
Huiying Chen, Renwei Liu, Weifeng Xia, Zuxin Li
Summary: This paper focuses on the problem of event-triggered H-infinity asynchronous filtering for Markov jump nonlinear systems with varying delay and unknown probabilities. An event-triggered scheduling scheme is adopted to decrease the transmission rate of measured outputs. The designed filter is mode dependent and asynchronous with the original system, which is represented by a hidden Markov model (HMM). Under this framework, a sufficient condition is given and the filter is further devised to ensure the resulting filtering error dynamic system is stochastically stable with a desired H-infinity disturbance attenuation performance.
Article
Automation & Control Systems
Yongli Wei, Li Sheng, Ming Gao, Yuhan Ma
Summary: This paper investigates the problem of anti-saturation fault-tolerant control for a class of Markov jump nonlinear systems subject to input saturation. A new saturation dynamic filter is designed to reduce the effects of input saturation, and an appropriate Lyapunov function is constructed to deal with unmodeled dynamics. The Nussbaum technique is combined with the norm estimation method to overcome the challenges brought by faults and unknown parameters of Markov switching. Additionally, an anti-saturation fault-tolerant controller is designed to ensure that all signals of the closed-loop system are bounded in probability, and two examples are provided to validate the effectiveness of the developed method.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Zepeng Ning, Bo Cai, Rui Weng, Lixian Zhang, Shun-Feng Su
Summary: This article investigates the stochastic stability analysis and stabilization problems for discrete-time Takagi-Sugeno fuzzy semi-Markov jump systems with upper-bounded sojourn time. The stability and stabilization conditions are established by part of the known semi-Markov kernel (SMK) information and then by all the known SMK information. The validity and the superiority of the proposed theoretical results are demonstrated through examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Guoliang Wang, Yunshuai Ren, Zhiqiang Li
Summary: This article addresses the exponential stabilization problem of continuous-time semi-Markov jump systems by a stochastic scheduling controller. A scheduling control method based on an earliest deadline first algorithm is proposed, and the existence of such a scheduling controller is given with solvable forms. The utility and superiority of the given methods are shown by applying a practical example.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Wenchao Huang, Binbin Tian, Tiantian Liu, Jinhua Wang, Zhiqiang Liu
Summary: This study investigates an event-triggered leader-following consensus problem for multi-agent systems with nonlinear dynamics. By building a state error model and using an event-triggered transmission scheme, effective consensus controllers and parameters can be designed, and the consensus conditions can be guaranteed using Lyapunov-Krasovskii functional and linear matrix inequalities. The validity of the theoretical results is demonstrated through a numerical example.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Baoping Jiang, Hamid Reza Karimi, Bo Li
Summary: This paper investigates the problem of adaptive sliding mode control for Markov jump systems with deficient transition probability. A novel method is proposed to design a mode-dependent sliding mode controller when the mode information is completely unknown. Feasible conditions are used to design the controller gain parameters. Stochastic stability criteria based on strict linear matrix inequalities are proposed for the sliding mode dynamics under different types of mode transition information. An adaptive sliding mode controller is successfully designed using the stability criteria. A numerical example is provided to illustrate the advantage of the developed strategy.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Engineering, Mechanical
Junye Zhang, Zhen Liu, Baoping Jiang
Summary: This paper focuses on the reliable control problem of a type of uncertain Markov jump systems subjected to actuator failures, malicious attacks, and partially unknown transition rates (PUTRs). A novel adaptive neural network based sliding mode controller synthesis is developed to address the challenges of actuator partial failures, structural uncertainty, and unknown actuator attacks. The proposed method ensures that the system trajectory can be moved onto the devised sliding mode surface in finite time and maintain the expected performance. The stochastic stability analysis of the desired sliding motion with a new sufficient criterion is conducted for the closed-loop plant with uncertain PUTRs. The feasibility of the design method is validated using the F-404 aircraft engine model as a simulation example of the investigated system.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Hongchao Li, Xinzhou Liu, Jiao Liu, Peng Yang
Summary: This paper discusses the stabilization of continuous-time saturating Markov jump system with generally uncertain transition rates (GUTRs) under an event-triggered strategy. An optimization algorithm and stabilization conditions are introduced to achieve the best control effect.
ASIAN JOURNAL OF CONTROL
(2021)
Article
Automation & Control Systems
Ioannis Tzortzis, Charalambos D. Charalambous, Christoforos N. Hadjicostis
Summary: This article presents a robust LQR approach for nonhomogeneous Markov jump linear systems, deriving a robust optimal controller via dynamic programming and limiting the influence of uncertainty. Numerical results demonstrate the applicability and effectiveness of the proposed method.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Haiyang Fang, Guozheng Zhu, Vladimir Stojanovic, Rong Nie, Shuping He, Xiaoli Luan, Fei Liu
Summary: An online adaptive optimal control problem was studied for a class of nonlinear Markov jump systems with partially unknown dynamic information. By applying neural network linear differential inclusion techniques, nonlinear terms in MJSs were approximated to linear forms. A new online policy iteration algorithm was proposed to obtain an adaptive optimal controller, with theorems provided to ensure the convergence of the new algorithm. A simulation example was used to verify the applicability of the algorithm.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Miaohong Luo, Xihui Wu, Xiaowu Mu, Zhe Yang
Summary: This article discusses the problem of stabilization and the H infinity performance for semi-Markovian systems with actuator saturation, proposing a nonfragile control scheme and utilizing an improved event-triggered scheme to reduce communication cost. New sufficient conditions for ensuring stabilization and design of controller gain matrices are obtained through Lyapunov-Krasovskii functional and free-weighting matrix techniques. Simulation examples are provided to validate the effectiveness of the results obtained.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Mathematics, Applied
Jiamin Liu, Patrizio Colaneri, Paolo Bolzern, Zhao-Yan Li
Summary: This paper focuses on the stability problems of positive Markov jump linear systems (PMJLSs) and its application to nonlinear Markov jump stochastic systems (MJSSs). Sufficient and necessary conditions for the p-moment exponential stability of PMJLS are provided, and explicit stability criteria for nonlinear MJSSs are obtained based on these results. Two numerical examples are presented to validate the theoretical findings.
APPLIED MATHEMATICS LETTERS
(2023)
Article
Computer Science, Information Systems
Xiangxiang Meng, Haisheng Yu, Jie Zhang
Summary: This paper presents a novel error port-controlled Hamiltonian (EPCH) strategy with adaptive gains to deal with a class of complex nonlinear systems subject to actuator saturation and disturbances. A new smooth saturation function with hyperbolic tangent is adopted to address the limitations between the actuator and control signal. A nonlinear disturbance observer (NDOB) is utilized to compensate for various factors in real complex systems. A novel EPCH strategy with adaptive gain and variable damping technology is proposed to enhance position control and tracking control accuracy. The proposed method shows better control performance compared to other methods based on simulation results.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Kamal Mammadov, Cheng-Chew Lim, Peng Shi
Summary: In this manuscript, we formulate the general Target-Attacker-Defender differential game in both continuous-time and discrete-time turn-based variants in n-dimensional Euclidean space. The objective of the Attackers is to get as close as possible to the Target before collision with the Defender, while the Target and Defender coordinate to achieve the opposite. We consider the most general setting for this zero-sum differential game, where the agents can move at different speeds, and prove the Nash equilibrium strategies in the discrete-time turn-based variant.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Ting Shi, Peng Shi, Liping Zhang
Summary: This paper investigates the leader-following consensus problem for general linear multi-agent systems under external disturbances. The communication topologies are time-varying and switched from a finite set. A switched control system is introduced to model these topologies, and the weighted L-2 - L-infinity performance is analyzed. A topology-dependent controller is designed based on local information from the neighbors. Conditions are developed for the existence of a control protocol that achieves the leader-following consensus with a certain level of weighted L-2 - L-infinity performance. The design algorithm is formulated as a set of linear matrix inequalities (LMIs), and a numerical example is provided to demonstrate the effectiveness of the proposed consensus algorithm.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Renjie Ma, Peng Shi
Summary: This paper presents defense strategies based on switched counteraction principle to protect the secure state estimation (SSE) of Cyber-Physical Systems (CPSs) from sparse data injection (DI) attacks. The physical layer is modeled using a hybrid mechanism and malicious injections are excluded through adaptively switched counteraction searching. The proposed design methods are demonstrated to be effective and promising through numerical examples.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Huabin Chen, Cheng-Chew Lim, Peng Shi
Summary: This paper investigates the input-to-state stochastic stability for neutral switched stochastic delay systems by incorporating multiple Lyapunov-Krasovskii functions, generalized delay integral inequality, and mode-dependent average dwell time, and provides sufficient conditions for two cases. A simulation example is also presented to demonstrate the effectiveness of the theoretical results.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2021)
Article
Automation & Control Systems
Peng Shi, Bing Yan
Summary: This article reviews the recent development of large-scale multiagent systems (MASs) focusing on intelligent control, including consensus problem, formation control, and flocking control. The results of intelligent control are categorized into different types based on interaction and system constraints, with applications in robotics, complex networks, and transportation discussed. Challenges and future directions of research in this field are also highlighted.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Junkang Ni, Peng Shi
Summary: This article discusses the fixed-time leader-follower consensus problem for multiagent systems and addresses challenges such as output constraints, unknown dynamics, and unknown disturbances. By introducing distributed observers, nonlinear mappings, RBFNN approximation, and adaptive techniques, the ideal fixed-time stable virtual control protocol is derived to achieve consensus within a specified time frame. The proposed control scheme is successfully applied to inverted pendulums, demonstrating its effectiveness through simulation results.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Renjie Ma, Peng Shi, Ligang Wu
Summary: This article investigates the dissipativity-based resilient sliding-mode control design of cyber-physical systems with DoS attacks. It analyzes system operations without and with DoS attacks, presents solutions to ensure stability and dissipativity, derives the upper bound of sample-data rate, and synthesizes a controller to achieve desired goals. Two examples are provided to illustrate the theoretical derivation's applicability.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Computer Science, Information Systems
Zhi Lian, Peng Shi, Cheng-Chew Lim
Summary: This paper considers the security control problem for nonlinear networked control systems under cyber attacks using interval type-2 fuzzy models. A hybrid-triggered scheme is proposed to enhance bandwidth utilization and improve network control performance. The established hybrid-triggered-based control method ensures robust stability and prescribed performance of the closed-loop systems against attacks, as demonstrated through numerical simulations and a practical example.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Mohammad Anwar Hosen, Abbas Khosravi, H. M. Dipu Kabir, Michael Johnstone, Douglas Creighton, Saeid Nahavandi, Peng Shi
Summary: Neural networks are widely used in nonlinear plant modeling, optimization, and control. Prediction intervals provide additional information and tighter bounds to account for uncertainties, leading to improved controller performance.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Zhou Gu, Peng Shi, Dong Yue, Shen Yan, Xiangpeng Xie
Summary: This article introduces a novel memory-based event triggering mechanism for T-S fuzzy systems, which reduces the occurrence of wrong triggering events and improves the smoothness of event generation. By formulating the control system as a switched fuzzy control system with two modes, the exponential stability in the presence of deception attacks is guaranteed under the assumption of secure control and the proposed ETM.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Dhong Hun Lee, Sang Su Lee, Choon Ki Ahn, Peng Shi, Cheng-Chew Lim
Summary: This article proposes a novel obstacle avoidance algorithm for a mobile robot in unknown dynamic environments based on FMF, and introduces the FDEDWA algorithm to avoid dynamic obstacles through estimating and predicting obstacle distributions to minimize the effects of measurement noise. The proposed algorithm allows for fast perception of dynamic environments, superior estimation performance, and control of the mobile robot through optimal paths while maintaining real-time performance.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Bohui Wang, Weisheng Chen, Bin Zhang, Yu Zhao, Peng Shi
Summary: This article investigates cooperative control problem for multiagent systems with active task assignment strategy, proposing a task assignment mechanism and tracking cooperative control protocol to optimize system stability and efficiency. By introducing a leadership competition mechanism, the quality of information interaction is maximized. Numerical simulation results demonstrate the effectiveness of the proposed approaches.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Marine
Yuanjie Ren, Lanyong Zhang, Peng Shi, Ziqi Zhang
Summary: A hierarchical collaborative control energy management scheme is proposed for the propulsion system of hybrid electric ships. The scheme effectively solves the problems of steady-state oscillation and deviation from the tracking direction caused by volatility and uncertainty, achieving significant improvement.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Huiyan Zhang, Hao Sun, Peng Shi, Luis Ismael Minchala
Summary: This article proposes a novel chip detection method that combines attentional feature fusion and cosine nonlocal attention to effectively handle chip images with multiple classes or complex backgrounds. Experimental results demonstrate that the proposed method outperforms the benchmark method on a medium-scale dataset.
Article
Remote Sensing
Yang Fei, Yuan Sun, Peng Shi
Summary: In this study, a hierarchical formation control strategy is used to address the robust formation control problem for a group of UAVs with system uncertainty. A sliding mode neural-based observer is constructed to estimate the nonlinear uncertainty in the UAV model, and sliding mode controllers and differentiators are designed to alleviate chattering in the control input. The proposed control scheme's effectiveness is validated through Lyapunov stability theory and numerical simulations on a multiple-UAV system.
