Distributed H∞ Robust Control of Multiagent Systems With Uncertain Parameters: Performance-Region-Based Approach

被引:8
|
作者
Wang, Jingyao [1 ,2 ]
Wen, Guanghui [3 ]
Duan, Zhisheng [1 ,4 ]
Hu, Yifan [3 ]
He, Wangli [5 ]
机构
[1] Xiamen Univ, Dept Automat, Xiamen 361000, Peoples R China
[2] Xiamen Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China
[3] Southeast Univ, Sch Math, Nanjing 211189, Peoples R China
[4] Peking Univ, Dept Mech & Engn Sci, Beijing 100871, Peoples R China
[5] East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
关键词
Topology; Switches; Network topology; Multi-agent systems; Robust control; Protocols; Control systems; Quadratic stabilization; randomly switching topologies; robust control; robust performance region; CONSENSUS; TRACKING; SYNCHRONIZATION; STABILITY;
D O I
10.1109/TSMC.2021.3055649
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article deals with the distributed H infinity robust control problem for linear multiagent systems perturbed by external disturbances and norm-bounded uncertain parameters over the Markovian randomly switching communication topologies. To tackle this problem, the distributed observer-based controller is proposed, which requires the relative information between neighbors and the absolute information of a subset of the nodes, and thus is intrinsically distributed. It is of great interest to see that the distributed H infinity robust control problem governed by such a controller can be converted to the stabilization with H infinity disturbance attenuation problems of some decoupled linear systems, whose dimensions equal those of a single node. Then, the H infinity stochastic robust performance region is defined to indicate the robustness of this controller against the variation of communication topologies. It is theoretically shown that the distributed observer-based controller yields bounded and connected robust performance region. Finally, the theoretical results are verified by conducting numerical simulations and experiments.
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页码:2888 / 2898
页数:11
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