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A Delay-Dependent Approach to Robust Fast Adaptive Fault Estimation Design for Uncertain Neutral Systems with Time-Varying Interval Delay.

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Title:	A Delay-Dependent Approach to Robust Fast Adaptive Fault Estimation Design for Uncertain Neutral Systems with Time-Varying Interval Delay.
Authors:	You, Fuqiang, Li, Hui, Wang, Fuli, Guan, Shouping
Source:	Asian Journal of Control; Mar2017, Vol. 19 Issue 2, p543-553, 11p
Subject Terms:	TIME-varying systems, TIME delay systems, LINEAR matrix inequalities, SCHUR complement, ALGORITHMS
Abstract:	This paper studies the problem of robust fault estimation for neutral systems, which are subjected to uncertainties, actuator fault, time-varying interval delay, and norm-bounded external disturbance. Based on the fast adaptive fault estimation (FAFE) algorithm, we focus on the design of a fault estimation filter that guarantees stability in the filtering error system with a prescribed H∞ performance. A novel Lyapunov-Krasovskii functional is employed, which includes time delay information. A delay-dependent criterion of robust fault estimation design is obtained by employing the free-weighting matrices technique, and the proposed result has advantages over some existing results, in that it is less conservative and it enlarges the application scope. An improved sufficient condition for the existence of such a filter is proposed in terms of the linear matrix inequality (LMI) by the Schur complements and the cone complementary linearization algorithm. Finally, illustrative examples are provided to show the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
	Copyright of Asian Journal of Control is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Complementary Index

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