Observer-Based Event-Triggered Adaptive Fuzzy Control for Leader-Following Consensus of Nonlinear Strict-Feedback Systems

In this article, the leader-following consensus problem via the event-triggered control technique is studied for the nonlinear strict-feedback systems with unmeasurable states. The follower's nonlinear dynamics is approximated using the fuzzy-logic systems, and the fuzzy weights are updated in a nonperiodic manner. By introducing a fuzzy state observer to reconstruct the system states, an observer-based event-triggered adaptive fuzzy control and a novel event-triggered condition are designed, simultaneously. In addition, the nonzero positive lower bound on interevent intervals is presented to avoid the Zeno behavior. It is proved via an extension of the Lyapunov approach that ultimately bounded control is achieved for the leader-following consensus of the considered multiagent systems. One remarkable advantage of the proposed control protocol is that the control law and fuzzy weights are updated only when the event-triggered condition is violated, which can greatly decrease the data transmission and communication resource. The simulation results are provided to show the effectiveness of the proposed control strategy and the theoretical analysis.

Automated summary

This article studies the leader-following consensus problem via event-triggered control technique for nonlinear strict-feedback systems with unmeasurable states. Follower's dynamics are approximated using fuzzy-logic, with fuzzy weights updated nonperiodically. An observer-based event-triggered adaptive fuzzy control, along with a novel event-triggered condition, are designed. The control protocol offers the advantage of updating control law and fuzzy weights only when the event-triggered condition is violated, leading to reduced data transmission and communication resource usage.