Fuzzy Predefined-Time Adaptive Control for High-Order Multi-agent Nonlinear Systems with Actuator Faults
摘要
This research investigates the matter of adaptive predefined-time control for nonlinear high-order multi-agent systems (HOMASs). The uncertain nonlinear functions are evaluated by employing fuzzy logic systems (FLSs). Particularly, a new convergence filter is introduced to resolve the complexity explosion issue. With the aid of the backstepping control technology and the leader-follower scheme, a predefined-time fuzzy dynamic surface control (DSC) tactic is presented that can guarantee every closed-loop signal is bounded and the output tracks reference signal inside predefined time. The emulation experiment indicates the rationality of developed control strategy.