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Multi-Agent Control:A Graph-Theoretic Perspective

Journal of Systems Science & Complexity 2021年第5期34卷 1973-2002页

作者： CHEN Fei REN Wei State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110004China School of Control Engineering Northeastern University at QinhuangdaoQinhuangdao 066004China. Department of Electrical and Computer Engineering University of CaliforniaRiversideCA 92521USA

Progress in development of multi-agent control is *** approaches for multiagent control,estimation,and optimization are discussed in a systematic way with particular emphasis on the graph-theoretic *** is paid to the design of multi-agent systems via Laplacian dynamics,as well as the role of the graph Laplacian spectrum,the challenges of unbalanced digraphs,and consensus-based estimation of graph *** emergent issues,e.g.,distributed optimization,distributed average tracking,and distributed network games,are also reported,which have witnessed extensive development *** are over 200 references listed,mostly to recent contributions.

关键词： Consensus cooperative control distributed average tracking distributed optimization multi-agent system

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Semi-global weighted output average tracking of discrete-time heterogeneous multi-agent systems subject to input saturation and external disturbances

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Control Theory and Technology 2023年第3期21卷 315-333页

作者： Qilin Song Yuanlong Li Yijing Xie Zongli Lin Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Department of Electrical Engineering University of Texas at ArlingtonArlington 76019TXUSA Charles L.Brown Department of Electrical and Computer Engineering University of VirginiaCharlottesville 22904-4743VAUSA

In this paper,we revisit the semi-global weighted output average tracking problem for a discrete-time multi-agent system subject to input saturation and external *** multi-agent system consists of multiple heterogeneous linear systems as leader agents and multiple heterogeneous linear systems as follower *** design both the state feedback and output feedback control protocols for each follower *** particular,a distributed state observer is designed for each follower agent that estimates the state of each leader *** the output feedback case,state observer is also designed for each follower agent to estimate its own *** these estimates,we design low gain-based distributed control protocols,parameterized in a scalar low gain *** is shown that,for any bounded set of the initial conditions,these control protocols cause the follower agents to track the weighted average of the outputs of the leader agents as long as the value of the low gain parameter is tuned sufficiently *** results illustrate the validity of the theoretical results.

关键词： distributed average tracking Input saturation Low gain feedback Heterogeneous multi-agent systems Output regulation

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Neural-network-based average tracking for nonlinear multi-agent systems with switching topologies

Neural-network-based average tracking for nonlinear multi-ag...

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第32届中国控制与决策会议

作者： Shangjun Zhang Jianting Lyu Dai Gao Xin Wang School of Mathematical Science Heilongjiang University School of Mechatronics Engineering Harbin Institute of Technology

This paper investigates the average tracking problem for a class of nonlinear multi-agent systems with switching *** control design is developed for switching topologies without requiring the accurate mode with nonlinear *** adaptive neural-network-based control algorithm is proposed for a team of agents to track the average of multiple time-varying reference signals,of which the dynamics of each subsystem is assumed to be unknown and will be estimated by using adaptive neural network ***,a numerical simulation is given to illustrate the effectiveness of presented consensus protocol.

关键词： distributed average tracking nonlinear multi-agent systems neural networks switching topologies

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