Nonsingular Practical Fixed-Time Adaptive Fuzzy Consensus Control of Nonstrict-Feedback Nonlinear Multiagent Systems With Actuator Fault
针对存在作动器故障的非严格反馈多智能体系统，提出一种非奇异实用固定时间自适应模糊一致性控制算法，确保系统信号在固定时间内有界且收敛时间不依赖初始状态。
This article addresses the nonsingular practical fixed-time adaptive fuzzy control problem of nonstrict-feedback multiagent systems (MASs) with actuator faults. By utilizing fuzzy-logic systems (FLSs), the identification of unknown nonlinearities in MASs is achieved while avoiding the algebraic loop problem. The singularities in fixed-time control are prevented by incorporating an adding power integration technique into the control scheme. Furthermore, we design an adaptive update law to mitigate the effects of unknown actuator faults and external disturbances. An adaptive fuzzy practical fixed-time MASs consistency control algorithm is proposed by combining these techniques with backstepping control. Based on stability analysis, the designed control scheme ensures that all MAS signals remain bounded within a fixed time and that the convergence time to achieve consistency does not depend on the initial states of the MASs. Finally, the validity of the proposed nonsingular practical fixed-time consensus control scheme is verified through simulation examples.