Fixed-Time Adaptive Fuzzy Control for Uncertain Multi-agent Systems with Deferred Dynamic Constraints via Dynamic-Memory Event-Triggered Mechanism

This study addresses the adaptive fuzzy fixed-time control problem for a class of non-strict feedback multi-agent systems (MAS) based on dynamic-memory event-triggered mechanism (DMETM). Based on the fixed-time adaptive fuzzy control strategy, we introduce a prescribed-time scaling function and a barrier function to make the tracking error converge to a dynamically defined boundary within a specified time. Furthermore, we consider the influence of historical information of internal dynamic variables on trigger conditions in DMETM, which more effectively reduces the consumption of system resources. Utilizing the proposed controller, it can be demonstrated that all followers track the specific trajectory established by the leader within fixed time, and the error boundary constraint of the MAS is achieved. Simulation results confirm the efficacy and superiority of this control strategy.