Fixed-Time Prescribed Performance Consensus Control for Multiagent Systems With Nonaffine Faults
Bin Xin, Shuai Cheng, Qing Wang, Jie Chen, Fang Deng
Abstract
This article studies the fixed-time consensus tracking control of nonlinear multiagent systems (NNMASs) suffering from nonaffine faults. A fixed-time command filter is constructed to solve the “explosion of complexity” issue, and a novel fixed-time error compensation mechanism is designed to eliminate filtering errors. The adaptive fuzzy control technique is introduced to deal with the unknown nonlinear terms containing nonaffine fault functions. A new fixed-time fault-tolerant control scheme based on the modified prescribed performance technology is proposed for the NNMASs, which ensures that the closed-loop system satisfies the practical fixed-time stability. In addition, the consensus tracking errors of the NNMASs converge to a given range within a prescribed performance bound in a fixed time. Finally, comparative simulation results show the effectiveness of the proposed method.