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https://hdl.handle.net/2440/79635
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Type: | Journal article |
Title: | Fuzzy model-based robust H∞ filtering for a class of nonlinear nonhomogeneous Markov jump systems |
Other Titles: | Fuzzy model-based robust H infinity filtering for a class of nonlinear nonhomogeneous Markov jump systems |
Author: | Yin, Y. Shi, P. Liu, F. Teo, K. |
Citation: | Signal Processing, 2013; 93(9):2381-2391 |
Publisher: | Elsevier Science BV |
Issue Date: | 2013 |
ISSN: | 0165-1684 1872-7557 |
Statement of Responsibility: | Yanyan Yin, Peng Shi, Fei Liu and Kok Lay Teo |
Abstract: | This paper studies the problem of robust fuzzy H∞ filtering for a class of uncertain nonlinear discrete-time Markov jump systems with nonhomogeneous jump transition probabilities. The Takagi and Sugeno fuzzy model is employed to represent such nonlinear nonhomogeneous Markov jump system with norm-bounded parameter uncertainties. By Lyapunov function approach, under the designed mode-dependent and variation-dependent fuzzy filter which includes the membership functions, a sufficient condition is presented to ensure that the filtering error dynamic system is stochastically stable and has a prescribed H∞ performance index. An example is given to demonstrate the effectiveness and advantages of the proposed techniques. © 2013 Elsevier B.V. All rights reserved. |
Rights: | © 2013 Elsevier B.V. All rights reserved. |
DOI: | 10.1016/j.sigpro.2013.03.003 |
Published version: | http://dx.doi.org/10.1016/j.sigpro.2013.03.003 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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