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2014 Adaptive Fuzzy Fault-Tolerant Output Feedback Tracking Control of Uncertain Stochastic Nonlinear Systems with Unknown Time-Delay and Tracking Error Constrained
Shuai Sui, Shaocheng Tong, Yongming Li
J. Appl. Math. 2014: 1-11 (2014). DOI: 10.1155/2014/703609

Abstract

The problem of tracking error constrained adaptive fuzzy output feedback control is investigated for a class of single-input and single-output (SISO) stochastic nonlinear systems with actuator faults, unknown time-delay, and unmeasured states. The considered faults are modeled as both loss of effectiveness and lock-in-place. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy adaptive observer is designed for estimating the unmeasured states. By transforming the tracking errors into new virtual error variables and based on backstepping recursive design 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 within the prescribed bounds. The simulation results are provided to show the effectiveness of the proposed approach.

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Shuai Sui. Shaocheng Tong. Yongming Li. "Adaptive Fuzzy Fault-Tolerant Output Feedback Tracking Control of Uncertain Stochastic Nonlinear Systems with Unknown Time-Delay and Tracking Error Constrained." J. Appl. Math. 2014 1 - 11, 2014. https://doi.org/10.1155/2014/703609

Information

Published: 2014
First available in Project Euclid: 2 March 2015

zbMATH: 07131804
MathSciNet: MR3278351
Digital Object Identifier: 10.1155/2014/703609

Rights: Copyright © 2014 Hindawi

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