Event-Triggered Adaptive Fuzzy Control for Uncertain Strict-Feedback Nonlinear Systems With Guaranteed Transient Performance

In this paper, we shall address the problem of guaranteeing transient performance in adaptive tracking control of uncertain strict-feedback nonlinear systems within the framework of event-triggered control. Note that most of the existing literature about event-triggered control focuses on solving exactly known systems or completely parametric systems, but still no result available in handling more general systems with unparameterizable uncertainties. The formidable issue is successfully resolved in this paper by using the fuzzy logic systems to approximate real-time value of the unknown functions, and the square of the norm of fuzzy weight vector is applied to the backstepping recursive design. Furthermore, by constructing a class of new Lyapunov candidates, the chattering phenomenon caused by sign function can be avoided, whereas the transient performance in terms of the tracking error can also be achieved to be an explicit function with the user-defined parameters. It is further proven that our proposed scheme ensures the global boundedness of all the closed-loop signals. Finally, the simulation results verify the effectiveness of the established theoretic.