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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 |
Published version: | http://dx.doi.org/10.1049/iet-cta.2009.0014 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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