Adaptive fuzzy output feedback tracking control with prescribed performance for chemical reactor of MIMO nonlinear systems

In this paper, a fuzzy adaptive control approach with prescribed performance is developed for a chemical reactor of multi-input and multi-output nonlinear systems with unmeasured states. Using fuzzy logic systems to model the uncertain nonlinear systems, a fuzzy adaptive observer is designed for immeasurable states estimations. Under the framework of the backstepping design and incorporated by the predefined performance technique, a new fuzzy adaptive output feedback control is developed. It is shown that all the signals of the resulting closed-loop systems are bounded, and the tracking errors remain within an adjustable neighborhood of the origin with the prescribed performance bounds. The detailed simulation results and performance comparisons are provided to demonstrate the effectiveness of the proposed control approach.