A prescribed performance fuzzy adaptive output-feedback control approach is proposed for a class of single-input and single-output nonlinear stochastic systems with unmeasured states. Fuzzy logic systems are used to identify the unknown nonlinear system, and a fuzzy state observer is designed for estimating the unmeasured states. Based on the backstepping recursive design technique and the predefined performance technique, a new fuzzy adaptive output-feedback control method is developed. It is shown that all the signals of the resulting closed-loop system are bounded in probability and the tracking error remains an adjustable neighborhood of the origin with the prescribed performance bounds. A simulation example is provided to show the effectiveness of the proposed approach.
Lili Zhang. Shuai Sui. Shaocheng Tong. "Prescribed Performance Fuzzy Adaptive Output-Feedback Control for Nonlinear Stochastic Systems." Abstr. Appl. Anal. 2014 (SI02) 1 - 9, 2014. https://doi.org/10.1155/2014/836378