Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/83624
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Type: Journal article
Title: Finite-time filtering for non-linear stochastic systems with partially known transition jump rates
Author: Luan, X.
Liu, F.
Shi, P.
Citation: IET Control Theory and Applications, 2010; 4(5):735-745
Publisher: The Institution of Engineering and Technology
Issue Date: 2010
ISSN: 1751-8644
1751-8652
Statement of
Responsibility: 
X. Luan, F. Liu, P. Shi
Abstract: This study is concerned with the problem of robust finite-time filtering for a class of non-linear Markov jump systems (MJSs) with partially known information on the transition jump rates. The non-linearities in the system are parameterised by multilayer neural networks. Our attention is focused on the design of a mode-dependent full-order H∞ filter to ensure the finite-time boundedness of the filtering error system and a prescribed H∞ attenuation level for all admissible uncertainties and approximation errors of the networks. Sufficient conditions of filtering design are developed in terms of solvability of a set of linear matrix inequalities. A tunnel diode circuit is used to show the effectiveness and potentials of the proposed techniques.
Rights: © The Institution of Engineering and Technology 2010
DOI: 10.1049/iet-cta.2009.0014
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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