Adaptive Optimized Fuzzy Control of Uncertain Strict-Feedback Systems with Preset Tracking Accuracy

This paper addresses the adaptive optimized fuzzy control for the uncertain nonlinear systems with preset tracking accuracy. Compared with the existing optimized backstepping control, this paper uses two C-n- class functions to construct the target controllers and the tracking error can converge to a pre-given range. Further-more, the cost functions are re-developed in this paper, and the optimized performance indicator functions for each sub-system are explored to evaluate the control performance for the controlled system. Thus, the virtual optimized controllers and the actual optimized controller are constructed via the backstepping technique. It is demon-strated that each signal in the closed-loop system is semi-globally uniformly ultimately bounded. Finally, a com-parative experiment of the numerical simulation further shows that the control strategy in this paper can effectively reduce control consumption.