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Consensus control of stochastic multi-agent systems: a survey

Science China(Information Sciences) 2017年第12期60卷 5-19页

作者： Lifeng MA Zidong WANG Qing-Long HAN Yurong LIU School of Automation Nanjing University of Science and Technology College of Electrical Engineering and Automation Shandong University of Science and Technology Department of Computer Science Brunel University London School of Software and Electrical Engineering Swinburne University of Technology Department of Mathematics Yangzhou University

In this article, we provide a review of the consensus control problem for stochastic multi-agent systems(MASs). Recent advances are surveyed according to the method of occurrence of the stochasticity of the MASs. First, the consensus problem is discussed for MASs, wherein individual agents are corrupted by random noises, i.e., the dynamics of agents involve stochasticity in process and/or measurement equations. Both additive noises and multiplicative noises are surveyed in detail and special attention is paid to the MASs whose dynamics are governed by It?o differential equations. Moreover, particular effort is devoted to presenting the latest progress on the consensus problem for a special type of stochastic MAS with Markovian jump parameters. Subsequently,the relevant research is summarized for MASs with noisy communication environments and stochastic ***, we provide a systematic review of the consensus problems for MASs whose communication topology varies randomly in the process of data propagation among agents. Finally, conclusions are drawn and several potential future research directions are outlined.

关键词： stochastic multi-agent systems consensus control stochastic noises Markovian jump systems random topology

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Consensus of Multi-agent Directed Networks with Perturbations

Consensus of Multi-agent Directed Networks with Perturbation...

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第25届中国控制与决策会议

作者： Weikai Liu Hua Zeng School of Science Wuhan Institute of Technology

ISBN: (纸本)9781467355339

In this paper, stochastic consensus seeking problem is considered for multi-agent networks on directed graphs with intrinsic deterministic nonlinear perturbations and stochastic noises. It is supposed that each agent can only use its local state and the state of its neighbors corrupted by white noises. Based on a transformation of matrix theory, the original stochastic system is turned into a reduced-order system. To attenuate the measurement noises, stochastic approximation type algorithm with decreasing step size is employed so that the individual states converge in mean square to the same limit. A sufficient criterion is obtained to guarantee mean square global asymptotical consensus of all agents. A simulation example is presented to illustrate the effectiveness of the proposed scheme.

关键词： Multi-agent networks stochastic consensus Nonlinear perturbations stochastic noises

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