Open Access
2014 Prescribed Performance Fuzzy Adaptive Output-Feedback Control for Nonlinear Stochastic Systems
Lili Zhang, Shuai Sui, Shaocheng Tong
Abstr. Appl. Anal. 2014(SI02): 1-9 (2014). DOI: 10.1155/2014/836378


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.


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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.


Published: 2014
First available in Project Euclid: 6 October 2014

zbMATH: 07023165
MathSciNet: MR3182307
Digital Object Identifier: 10.1155/2014/836378

Rights: Copyright © 2014 Hindawi

Vol.2014 • No. SI02 • 2014
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