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distributed event-triggered Communication and control of Linear Multiagent Systems Under Tactile Communication

IEEE TRANSACTIONS ON AUTOMATIC control 2018年第11期63卷 3979-3985页

作者： Yu, Pian Fischione, Carlo Dimarogonas, Dimos V. KTH Royal Inst Technol Sch Elect Engn & Comp Sci ACCESS Linnaeus Ctr S-10044 Stockholm Sweden

This note is concerned with the consensus of linear multiagent systems under tactile communication. Motivated by the emerging tactile communication technology where extremely low latency has to be supported, a distributed event-triggered communication and control scheme is proposed for the data reduction of each agent. First, an event-triggered data reduction scheme is designed for the communication between neighbors. Under such a communication scheme, a distributed event-triggered output feedback controller is further implemented for each agent, which is updated asynchronously with the communication action. It is proven that the consensus of the underlying multiagent systems is achieved asymptotically. Furthermore, it is shown that the proposed communication and control strategy fulfils the reduction of both the frequency of communication and controller updates as well as excluding Zeno behavior. A numerical example is given to illustrate the effectiveness of the proposed control strategy.

关键词： distributed event-triggered control multiagent systems output feedback tactile communication

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Strong Non-Zeno Mixed Adaptive Dynamic event-triggered control for distributed Consensus

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IEEE TRANSACTIONS ON CYBERNETICS 2024年第8期54卷 4802-4813页

作者： Yuan, Shuo Yu, Chengpu Sun, Jian Beijing Inst Technol Sch Automat Beijing 100081 Peoples R China Beijing Inst Technol Chongqing Innovat Ctr Chongqing 401120 Peoples R China

This article studies the distributed adaptive event-triggered consensus control problem of linear multiagent systems. A strong non-Zeno mixed adaptive dynamic event-triggering scheme is proposed, which guarantees a strictly positive minimum interevent time (MIET) between any two consecutive events. A model-based event-triggered fully distributed adaptive control law is presented without using prior global information about the communication topology. Moreover, a hybrid system model is constructed to facilitate the stability analysis of the closed-loop system. It is shown that the proposed control strategy can achieve asymptotic consensus of all agents via intermittent communication in a fully distributed way, while guaranteeing the strictly positive MIET property. Finally, the effectiveness of the designed control method is illustrated by a simulation example.

关键词： Adaptive control Symmetric matrices Communication networks consensus distributed event-triggered control strong non-Zeno

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distributed event-triggered optimal bipartite consensus control for multiagent systems with input delay via reinforcement learning method

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ASIAN JOURNAL OF control 2023年第6期25卷 4834-4852页

作者： Zhang, Jing Ma, Hui Zhang, Yun Chen, Yang Ocean Univ China Fac Informat Sci & Engn Qingdao 266100 Shangdong Peoples R China Heriot Watt Univ Sch Engn & Phys Sci Syst Lab Edinburgh Scotland Sichuan Univ Sch Cyber Sci & Engn Chengdu Sichaun Peoples R China

In this article, an optimal bipartite consensus control (OBCC) scheme is proposed for heterogeneous multiagent systems (MASs) with input delay by reinforcement learning (RL) algorithm. A directed signed graph is established to construct MASs with competitive and cooperative relationships, and model reduction method is developed to tackle input delay problem. Then, based on the Hamilton-Jacobi-Bellman (HJB) equation, policy iteration method is utilized to design the bipartite consensus controller, which consists of value function and optimal controller. Further, a distributed event-triggered function is proposed to increase control efficiency, which only requires information from its own agent and neighboring agents. Based on the input-to-state stability (ISS) function and Lyapunov function, sufficient conditions for the stability of MASs can be derived. Apart from that, RL algorithm is employed to solve the event-triggered OBCC problem in MASs, where critic neural networks (NNs) and actor NNs estimate value function and control policy, respectively. Finally, simulation results are given to validate the feasibility and efficiency of the proposed algorithm.

关键词： coopetition MASs distributed event-triggered control model reduction method optimal bipartite consensus control reinforcement learning

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distributed dynamic event-triggered communication and control for multi-agent consensus: A hybrid system approach

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INFORMATION SCIENCES 2022年 618卷 191-208页

作者： Wang, Zifan Gao, Yabin Liu, Yifan Wang, Siyi Wu, Ligang KTH Royal Inst Technol Elect Engn & Comp Sci S-10044 Stockholm Sweden Harbin Inst Technol Dept Control Sci & Engn Harbin 150001 Peoples R China Beijing Inst Spacecraft Syst Engn Beijing 100094 Peoples R China Tech Univ Munich Informat Oriented Control D-80331 Munich Germany

This paper investigates the output-based event-triggered communication and control for linear multi-agent consensus under a directed graph based on a co-design method. The communication among the agents, as well as the controller updates, are determined by some new event-triggering mechanisms, in order to reduce the use of the network resources. To simultaneously guarantee the significant properties including the asymptotic consensus, and strong Zeno-freeness (strictly positive inter-event times), a novel dis-tributed dynamic event-triggered protocol is proposed. Unlike the most-existing emulation-based approaches in which the control gain is previously decided, a systematic co-design procedure is proposed to design the controller gain, the observer gain, and the event-triggering mechanisms altogether in terms of solving a linear matrix inequality opti-mization problem. Based on the resulting hybrid system framework, a hybrid model is established for the distributed closed-loop system and the asymptotic consensus is achieved. Finally, a numerical example is presented to verify our systematic design methodology.(c) 2022 Elsevier Inc. All rights reserved.

关键词： distributed event-triggered control Multi-agent systems Directed communication graphs Co-design approach

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distributed event-triggered secondary frequency control of islanded AC microgrids under cyber attacks with input time delay

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2022年 143卷

作者： Nim, Javad Khalilia Dehkordi, Mahdian Hamzeh, Mohsen Shahid Rajaee Teacher Training Univ Control Dept Fac Elect Engn Tehran Iran Univ Tehran Fac Elect Engn Tehran Iran

This article proposes a distributed event-triggered secondary frequency control considering cyber attacks and disturbances subject to input delay for islanded AC microgrids (MGs). The reliance on communication networks exposes MGs to cyber attacks. Therefore, detection and prevention of cyber attacks is one of the most important issues for islanded MGs. The purpose of this article is the analysis of the impacts of cyber attacks, such as false data injection (FDI) and denial-of-service (DoS) on communication links and local controllers (LCs), in the presence of time delay in communication links. Our method conserves communication resources by reducing the number of transmissions of sampled data. Also, each distributed generation (DG) can quickly detect and isolate corrupted links and controllers. Moreover, we have analyzed the stability of our proposed strategy by the Lyapunov theory. The superior features of our proposed method, including cyber security, number of transmissions of sampled data, and communication time delay, have been investigated in MATLAB/SimPowersystems Toolbox.

关键词： Cyber attacks Denial-of-service distributed event-triggered control False data injection Input time delay

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distributed dynamic event-triggered adaptive neural resilient control for switched multiagent systems against attacks

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Nonlinear Dynamics 2025年 1-18页

作者： Li, Xuejiao Long, Lijun College of Information Science and Engineering Northeastern University Shenyang China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

This paper investigates the distributed dynamic event-triggered adaptive neural resilient control problem for switched nonlinear multi-agent systems (MASs). A distributed switched observer and multiple Lyapunov functions (MLFs) are constructed to deal with directed switching topologies that are disconnected or paralyzed under denial-of-service (DoS) attacks. Further, by developing a switching MLFs method, DoS attacks on sampled switching signal and switched sampled errors that may compromise system stability are handled. Also, to address asynchronous switching between candidate subsystems and controllers, a new switching dynamic event-triggering mechanism and distributed event-triggered neural resilient controllers of subsystems are designed. Then, the secure leader-following consensus can be achieved and a positive constant lower bound on inter-event times is guaranteed to avoid the Zeno phenomenon. Finally, a practical example of a switched scenario from offshore ship crane-vessel MASs is proposed to demonstrate the effectiveness of the developed design strategies.

关键词： distributed event-triggered control Adaptive neural resilient control Switched multi-agent systems Switching multiple Lyapunov functions

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distributed Functional Observer-based event-triggered Containment control of Multi-agent Systems

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INTERNATIONAL JOURNAL OF control AUTOMATION AND SYSTEMS 2020年第5期18卷 1094-1102页

作者： Jian, Long Hu, Jiangping Wang, Jun Shi, Kaibo Peng, Zhinan Yang, Yaoru Huang, Jiuke Univ Elect Sci & Technol China Sch Automat Engn Chengdu 611731 Sichuan Peoples R China Southwest Minzu Univ Coll Elect & Informat Engn Chengdu 610041 Sichuan Peoples R China Chengdu Univ Sch Informat Sci & Engn Chengdu 610106 Sichuan Peoples R China Univ York Dept Elect Engn York N Yorkshire England Vanderbilt Univ 221 Kirkland Hall Nashville TN 37235 USA

This paper studies the containment control problem of linear multi-agent systems (MASs) with a directed graph, where the states of the followers will asymptotically converge to the convex hull formed by those of the leaders. By introducing the functional observer, a novel distributed event-triggered control strategy is presented to schedule communications between agents, which depends on the relative input and output measurements with its neighbors. Furthermore, the minimum inter-event time is guaranteed to be strictly positive. An example is presented to illustrate the feasibility and efficiency of the theoretic results.

关键词： Containment control distributed event-triggered control functional observer multi-sgent systems

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Containment control for heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes

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Frontiers of Information Technology & Electronic Engineering 2021年第1期22卷 107-119页

作者： Ya-ni SUN Wen-cheng ZOU Jian GUO Zheng-rong XIANG School of Automation Nanjing University of Science and TechnologyNanjing 210094China

We study the contain men t cont rol problem for high-order het erogeneous nonlinear multi-age nt systems under distributed event-triggered *** achieve the containment control objective and reduce communication consumption among agents,a distributed event-triggered control scheme is proposed by applying the backstepping method,Lyapunov functional approach,and neural ***,the results are extended to the self-triggered control case to avoid continuous monitoring of state *** developed protocols and triggered rules ensure that the output for each follower converges to the convex hull spanned by multi-leader signals within a bounded *** addition,no agent exhibits Zeno *** numerical simulations are finally presen ted to verify the correctness of the obtained results.

关键词： Multi-agent systems distributed event-triggered control Containment control Heterogeneous nonlinear systems Zeno behavior

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Cooperative output regulation of heterogeneous linear multi-agent systems based on the event-triggered distributed control under switching topologies

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APPLIED MATHEMATICS AND COMPUTATION 2021年 390卷 125611-125611页

作者： Zhang, Juan Dai, Jing Zhang, Huaguang Sun, Shaoxin Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Liaoning Peoples R China Tsinghua Univ Beijing Dept Elect Engn Beijing 100084 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110004 Liaoning Peoples R China

This paper studies the cooperative output regulation (COR) problem of heterogeneous linear multi-agent systems (MAS)s based on two kinds of event-triggered control protocols under time-varying topologies. Firstly, a state feedback distributed control scheme is designed to achieve COR problem and eliminate Zeno behavior of the MASs with only intermittent communication between neighbors. The design of such a controller requires the assumption that the states of all agents are measurable. Secondly, we design a dynamic output feedback control law which does not need to assume that all states are measurable in the MASs. The COR problem of MASs is also implemented without Zeno behavior existing. Under the proposed two kinds of triggering mechanisms, each agent sends information to its neighbors only at its switching and triggering times. Finally, several examples are introduced to illustrate effectiveness and practicability of the theoretical results. And we add a comparative experiment to highlight the advantages of the design methods in this paper. (C) 2020 Elsevier Inc. All rights reserved.

关键词： Time-varying topologies Multi-agent systems Zeno behavior distributed event-triggered control

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event-triggered Adaptive Containment control for Heterogeneous Stochastic Nonlinear Multiagent Systems

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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年第6期35卷 8524-8534页

作者： Wang, Xin Xu, Rui Huang, Tingwen Kurths, Jurgen Southwest Univ Coll Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing 400715 Peoples R China T & M Univ Qatar Sci Program Doha 23874 Qatar Potsdam Inst Climate Impact Res D-14473 Potsdam Germany Humboldt Univ Inst Phys D-12489 Berlin Germany

This article investigates the event-triggered adaptive containment control problem for a class of stochastic nonlinear multiagent systems with unmeasurable states. A stochastic system with unknown heterogeneous dynamics is established to describe the agents in a random vibration environment. Besides, the uncertain nonlinear dynamics are approximated by radial basis function neural networks (NNs), and the unmeasured states are estimated by constructing the NN-based observer. In addition, the switching-threshold-based event-triggered control method is adopted with the hope of reducing communication consumption and balancing system performance and network constraints. Moreover, we develop the novel distributed containment controller by utilizing the adaptive backstepping control strategy and the dynamic surface control (DSC) approach such that the output of each follower converges to the convex hull spanned by multiple leaders, and all signals of the closed-loop system are cooperatively semi-globally uniformly ultimately bounded in mean square. Finally, we verify the efficiency of the proposed controller by the simulation examples.

关键词： Containment control distributed event-triggered control neural networks (NNs) state observer stochastic nonlinear multiagent systems (MASs)

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