详细信息

Fixed-time fully distributed observer-based bipartite consensus tracking for nonlinear heterogeneous multiagent systems  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Fixed-time fully distributed observer-based bipartite consensus tracking for nonlinear heterogeneous multiagent systems

作者:Wang, Li[1];Yan, Huaicheng[1,2];Chang, Yufang[2];Wang, Meng[1];Li, Zhicheng[1]

机构:[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Hubei Univ Technol, Sch Elect & Elect Engn, Wuhan 430068, Peoples R China

年份:2023

卷号:635

起止页码:221

外文期刊名:INFORMATION SCIENCES

收录:;EI(收录号:20231413839754);WOS:【SCI-EXPANDED(收录号:WOS:000969522900001)】;

基金:This work is supported by the National Natural Science Foundation of China (62073143, 62273255) , Shanghai and HongKong-Macao-Taiwan Science and Technology Cooperation Project (19510760200) , and Innovation Program of Shanghai Municipal Education Commission (2021-01-07-00-02-E00107) .

语种:英文

外文关键词:Feedback control; Fixed-time stability; Fully distributed control; Nonlinear heterogeneous multiagent systems; Sign switching topology

摘要:This paper focuses on the problem of the fully distributed fixed-time bipartite output consensus tracking for nonlinear heterogeneous multiagent systems (MASs) via both state-feedback and output-feedback methods under the switching topology. The adaptive fully distributed state observers with quantization information are designed to eliminate the dependence on the Laplacian matrix. For MASs with unknown model matrix, a novel fixed-time observer-based regulator equation is employed, which avoids repeatedly getting the unnecessary solution of universal one in the time-varying cooperation-competition communication topology. In this case, both fixed-time state-feedback and output-feedback controllers are constructed such that the output consensus tracking is achieved regardless the state value is available or unavailable. Besides, the upper bound of convergence time can be adjusted only by parameters without initial states. Lyapunov functions are established to derive conditions of achieving consensus tracking by mathematical analysis. Eventually, the effectiveness of the proposed control strategy is manifested by simulation results.

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