文献类型：期刊文献

英文题名：Adaptive fault-tolerant optimized formation control for perturbed nonlinear multiagent systems

作者：Ji, Weiyu[1];Pan, Yingnan[1];Zhao, Meng[2]

机构：[1]Bohai Univ, Coll Control Sci & Engn, Jinzhou 121013, Liaoning, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Shanghai, Peoples R China

年份：2022

卷号：32

期号：6

起止页码：3386

外文期刊名：INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

收录：;EI(收录号：20215211384662);WOS:【SCI-EXPANDED(收录号:WOS:000733723700001)】；

基金：National Natural Science Foundation of China, Grant/Award Number: 62003052; PhD Start-up Fund of Liaoning Province, Grant/Award Number: 2020-BS-239

语种：英文

外文关键词：disturbance-fault observer; fault-tolerant control; multiagent systems; optimized formation control; reinforcement learning

摘要：This article proposes an adaptive fault-tolerant formation control strategy for strict-feedback nonlinear multiagent systems with nonlinear faults and external disturbances. A simplified reinforcement learning algorithm is developed for approximating the optimized controller. Different from the existing optimized control results, the system dynamics is totally unknown in this article. In order to surmount "explosion of complexity", the dynamic surface control technique is employed. A disturbance-fault observer is employed to alleviate the influence caused by the external disturbances and the impact coming from the nonlinear faults. Based on the Lyapunov stability theorem, it can be demonstrated that all signals within the closed-loop systems are semiglobal uniformly ultimately bounded and the optimized formation control performance can be guaranteed. Finally, some simulation results are exhibited the validity of the developed control method.