Article
Acoustics
Yiping Luo, Xitong Gao, Jinde Cao, Ardak Kashkynbayev
Summary: This study investigates the event-triggered consensus problem for observer-based second-order leader-following heterogeneous multi-agent systems with nonlinear term delay under input saturation conditions. The observer is designed to reconstruct the system state and achieve the required state feedback. By combining saturation control and event-triggered pinning control, multi-agent consensus is achieved. The Lyapunov stability theory, algebraic Riccati equation, matrix theory, and other analytical techniques are used to obtain the sufficient conditions for consensus. The proposed event-triggered function avoids Zeno behavior, and the feasibility of the results is verified through numerical simulation.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Computer Science, Information Systems
Lingzhong Zhang, Yuanyuan Li, Jianquan Lu, Jungang Lou
Summary: This paper studies the output consensus of heterogeneous switching linear multi-agent systems (LMASs) and proposes an event-triggered impulsive control algorithm and a distributed control law. The theoretical results are demonstrated through a numerical example.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Shengli Du, Hong Sheng, Hao-Yuan Sun
Summary: This paper investigates the leader-following consensus problem for general linear multiagent systems under a fully distributed manner. It proposes a fully distributed event-based control method that avoids using global information of the communication network. By designing node-based adaptive parameters and introducing internal dynamic variables, the method improves the scalability and flexibility of the system, ensures convergence, and prevents Zeno behavior.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Zhenhua Zhang, Shiguo Peng, Derong Liu, Yonghua Wang, Tao Chen
Summary: This article investigates the leader-following mean-square consensus of stochastic multiagent systems based on the distributed event-triggered impulsive mechanism. By proposing new communication rules and control protocol, designing new triggering functions, the Zeno behavior can be excluded while satisfying constraint conditions, and sufficient delay-independent criteria are derived.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Mathematics
Rongtao Chen, Shiguo Peng
Summary: This paper focuses on the leader-follower quasi-consensus problem in multi-agent systems with practical communication scenarios involving packet loss. The packet loss phenomenon is described in terms of the packet loss rate. A novel hybrid event-triggered impulsive control strategy is proposed, and Lyapunov stability theory is used to derive sufficient conditions for achieving leader-follower quasi-consensus and exclude Zeno behavior. A numerical simulation example is provided to validate the effectiveness of the proposed approach. The simulation results indicate that the packet loss rate is closely related to the control gain and the maximum triggered interval, leading to an increased trigger frequency as the packet loss rate increases.
Article
Mathematics, Applied
Lihua Tan, Chuandong Li, Junjian Huang, Tingwen Huang
Summary: This paper addresses the leader-following consensus problem for a class of non-linear stochastic multiagent systems with immeasurable state variables. Novel distributed protocols are established using Lyapunov function method and stochastic analysis techniques, with the consideration of event-triggered and self-triggered mechanisms to reduce controller update and communication frequency. Simulation examples illustrate the effectiveness and validity of the theoretical results.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Automation & Control Systems
Dan Liu, Guang-Hong Yang
Summary: This article introduces a novel dynamic event-triggered mechanism which excludes Zeno behavior through internal dynamic variables, achieving leader-following consensus in linear multiagent systems. Numerical simulations demonstrate that this strategy can reduce communication more effectively.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Bilal J. Karaki, Magdi S. Mahmoud
Summary: This article studies the consensus problem for discrete-time nonlinear multiagent systems with time delay. A distributed consensus protocol based on an asynchronous event-triggered mechanism is proposed to achieve state consensus for multiagent systems with nonlinear perturbations. The protocol reduces network communication congestion and energy consumption. The theoretical results are illustrated through a simulation example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Wei Wang, Yongming Li
Summary: This article studies the leader-following consensus problem via event-triggered control technique for nonlinear strict-feedback systems with unmeasurable states. Follower's dynamics are approximated using fuzzy-logic, with fuzzy weights updated nonperiodically. An observer-based event-triggered adaptive fuzzy control, along with a novel event-triggered condition, are designed. The control protocol offers the advantage of updating control law and fuzzy weights only when the event-triggered condition is violated, leading to reduced data transmission and communication resource usage.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Iqra Zulfiqar Awan, Fatima Tahir, Muhammad Rehan, Keum-Shik Hong
Summary: This paper discusses the leader-following consensus problem for nonlinear multi-agent systems with generalized Lipschitz-type nonlinearity. An event-triggered control scheme based on estimated states and invariant sets is proposed. Distributed observers are designed to estimate the states of the followers, and an event-triggered strategy is formulated to reduce unnecessary data communication.
Article
Automation & Control Systems
Shuo Zhang, Jinhai Liu, Wei Wang, Zhigang Zhang
Summary: This paper focuses on the topology-based dynamic event-triggered leader-following consensus problem of general linear multi-agent systems under switching topological structures. A novel topology-based distributed dynamic event-triggered rule is proposed and topology-based distributed event-triggered controllers are constructed. By achieving global exponential convergence rate, leader-following consensus is achieved, and a method of relaxing the restrictions on switching speed of topological structures is proposed.
Article
Automation & Control Systems
Chunlan An, Housheng Su, Shiming Chen
Summary: This paper investigates the leader-following exponential output consensus problem of nonlinear fractional-order multi-agent systems (FOMASs) with unknown mismatched disturbances and event-triggered control input. The proposed approach includes the construction of a finite-time higher-order sliding observer for disturbance estimation, establishment of a distributed integral sliding-mode surface for exponential stabilization, and design of a distributed event-based active anti-disturbance consensus protocol. The results show that the output of all agents can achieve exponential consensus without Zeno behavior under certain event-triggered conditions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yanjie Chang, Xianfu Zhang, Qingrong Liu, Xiandong Chen
Summary: This paper addresses the event-triggered output feedback consensus problem for feedforward nonlinear multi-agent systems with a directed topology graph. It proposes a newly designed triggering mechanism and control protocol to achieve leader-follower consensus among agents while avoiding continuous monitoring and communication.
Article
Engineering, Multidisciplinary
Wang XingXia, Liu ZhongXin, Chen ZengQiang
Summary: This paper investigates event-triggered consensus in leader-following multi-agent systems with actuator fault, proposing the use of an event-triggered mechanism and control allocation method to address the faults. Simulation results demonstrate the effectiveness of the proposed approach.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2021)
Article
Automation & Control Systems
Tao Chen, Shiguo Peng, Zhenhua Zhang
Summary: This work presents a method to achieve finite-time consensus of leader-following non-linear multi-agent systems using distributed event-triggered impulsive control, with a controller designed without sign functions to overcome chattering phenomenon. Simulations are used to demonstrate the effectiveness of the proposed control scheme.
IET CONTROL THEORY AND APPLICATIONS
(2021)
Article
Automation & Control Systems
Yan Wang, Daniel W. C. Ho, Junlin Xiong
Summary: This paper investigates the optimal decentralized LQR control problem of interconnected systems with random communication delays. A connected digraph is used to describe the system and the controller is designed based on random delays in information transmission. By introducing a new information set composed of noise history, the random sparse structure constraints are addressed and an optimal controller in the mean sense is obtained.
Article
Automation & Control Systems
Zhan Yu, Daniel W. C. Ho, Deming Yuan
Summary: This article introduces the multiagent optimization problem and proposes a distributed randomized gradient-free mirror descent method. The method employs the non-Euclidean Bregman divergence and generalizes the classical gradient descent method without using subgradient information. It achieves an approximate O(1/root T) convergence rate, recovering the best known optimal rate. Additionally, a decentralized reciprocal weighted averaging (RWA) approximating sequence is investigated, with convergence shown to hold over time-varying graphs. The article provides new insights for searching minimizers in distributed algorithms.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Shuqi Chen, Daniel W. C. Ho
Summary: This paper proposes a new information-based distributed extended Kalman filter algorithm under dynamic quantization. It is proved that the estimation error of the proposed algorithm is exponentially bounded in mean square under certain assumptions. A numerical example concerning target tracking is presented to demonstrate the validity of the main results.
Article
Computer Science, Artificial Intelligence
Menghui Xiong, Baoyong Zhang, Daniel W. C. Ho, Deming Yuan, Shengyuan Xu
Summary: This article investigates distributed convex constrained optimization over a time-varying multiagent network in the non-Euclidean sense, taking into account the bandwidth limitation of the network. An event-triggered strategy is applied to reduce communication costs, and a distributed stochastic mirror descent algorithm based on event triggers is developed to solve the multiagent optimization problem subject to a convex constraint. The convergence of the algorithm is also analyzed, with an upper bound established for each agent's convergence result, which depends on the trigger threshold.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Wenying Xu, Wangli He, Daniel W. C. Ho, Juergen Kurths
Summary: This paper solves the fully distributed and observer-based consensus control problem of multi-agent systems with general linear dynamics under event-triggered communication (ETC). Two novel event-triggered strategies named adaptive dynamic event-triggered (ADET) schemes are developed. The ADET strategies introduce online triggering parameters and dynamic thresholds with updating laws. The sufficient conditions for consensus are derived and analyzed. The results show that the proposed strategies are effective for achieving consensus in a fully distributed way, and the dynamic thresholds can effectively exclude Zeno behavior without sacrificing system performance. The efficiency of ADET strategies and the comparison between state-based and observer-based ADET control are discussed to enrich the distributed resources-aware control framework. A simulation example is provided to illustrate the theoretical results.
Article
Automation & Control Systems
Bo Chen, Guoqiang Hu, Daniel W. C. Ho, Li Yu
Summary: This article discusses the problem of distributed estimation and control for time-varying large-scale interconnected systems (LISs). A novel decoupling strategy and bounded recursive optimization are utilized to design local estimator gain and control methods for fully distributed estimation and control. Stability conditions are also derived to ensure the boundedness of the designed time-varying LISs.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Computer Science, Information Systems
Yang Liu, Jie Zhong, Daniel W. C. Ho, Weihua Gui
Summary: This study investigates the minimum observability of Boolean networks using the semi-tensor product of matrices. It presents necessary and sufficient conditions for observability, algorithm for designing an observer, and necessary condition for determining the minimum number of directly measurable nodes. Examples are provided to demonstrate the effectiveness of the results.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Man Li, Jiahu Qin, Nikolaos M. Freris, Daniel W. C. Ho
Summary: This article studies a multiplayer Stackelberg-Nash game involving a nonlinear dynamical system with one leader and multiple followers. Optimal strategies for the leader and followers are derived and shown to constitute the Stackelberg-Nash equilibrium points. To overcome the difficulty in calculating the equilibrium points analytically, a novel two-level value iteration-based integral reinforcement learning algorithm is developed. The proposed method converges asymptotically to the equilibrium strategies under weak coupling conditions, and effective termination criteria are introduced to guarantee the admissibility of the obtained policy profile.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Jun Song, Daniel W. C. Ho, Yugang Niu
Summary: This article focuses on the model-based event-triggered sliding-mode control issue for multi-input systems, where a scheme is designed to mitigate data communication burden and eliminate disturbances and uncertainties. An auxiliary disturbance input and genetic algorithm are used to ensure stability and solve optimization problems. The effectiveness of the proposed algorithm is demonstrated using a jet transport aircraft.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Chi Huang, Daniel W. C. Ho, Jianquan Lu, Wenjun Xiong, Jinde Cao
Summary: The study investigates synchronization problems in arrays of coupled probabilistic Boolean networks (CPBNs), focusing on synchronization with probability one and synchronization in probability. The concept of synchronization in probability is introduced to reflect the inherent randomness of biological systems. Necessary and sufficient conditions are proposed, and algorithms are presented for checking synchronization. Detailed discussions are provided on the impact of synchronism on the two synchronization problems, and the existence of invariant synchronization subsets is studied. Numerical simulations validate the effectiveness of the theoretical results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Jie Zhong, Daniel W. C. Ho, Jianquan Lu
Summary: This article proposes a network-structure-based distributed pinning control method for global stabilization of Boolean networks. Compared with existing methods, this design reduces computational complexity and only requires local information of neighbor nodes.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Automation & Control Systems
Yan Wang, Junlin Xiong, Daniel W. C. Ho
Summary: This article investigates the distributed linear minimum mean square error (LMMSE) estimation problem for large-scale systems with local information. The gains of the LMMSE estimator are effectively constructed by solving linear matrix equations, and sufficient conditions are derived to ensure the boundedness of the estimation error covariance. The proposed method is shown to be effective in the study.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Dingchao Ren, Junlin Xiong, Daniel W. C. Ho
Summary: This paper studies the problem of designing a static output feedback H-2 negative imaginary controller. A linearisation-based method is proposed to overcome the difficulty of solving constraints, and an iterative algorithm is provided to compute the desired controller. The results are illustrated through numerical examples.
INTERNATIONAL JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Yifan Sun, Lulu Li, Daniel W. C. Ho
Summary: This article investigates the quantized control issue for synchronizing a networked nonlinear system. A dynamic quantizer is introduced to achieve exact synchronization, and a new distributed Zeno-free event-triggered control strategy is proposed based on the dynamic quantizer. Synchronization criteria are derived under different situations using the Lyapunov method, and numerical examples are provided to validate the theoretical results.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Artificial Intelligence
Shengli Du, Wenying Xu, Junfei Qiao, Daniel W. C. Ho
Summary: This article investigates the resilient output synchronization problem of a linear heterogeneous multiagent system subjected to denial-of-service attacks. Two control mechanisms, event-triggered and self-triggered, are presented to reduce unnecessary information transmission. The quantitative relationship between the attributes of the DoS attacks and synchronization is revealed. The validity of the provided mechanisms is verified through a simulation example.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
