Prescribed Performance Practical Fixed-Time Consensus Control for Multiagent Systems With Input Saturation

This study focuses on the prescribed performance practical fixed-time control problem for nonlinear uncertain multiagent systems with input saturation and external disturbances. Unlike existing practical fixed-time consensus approaches, we propose an adaptive dynamic surface design scheme to mitigate computational complexity in the backstepping procedure. In addition, fuzzy logic systems are adopted to approximate uncertainties. To reduce the frequency of controller updates, an event-triggering mechanism is introduced. Using the backstepping technique and Lyapunov stability theory, we design a real adaptive distributed fuzzy controller that can guarantee consensus errors remain within prescribed performance in a fixed time. Ultimately, emulate results express the effectiveness of the presented strategy.