Robust Filtering for Nonlinear Nonhomogeneous Markov Jump Systems by Fuzzy Approximation Approach

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Robust Filtering for Nonlinear Nonhomogeneous Markov Jump Systems by Fuzzy Approximation Approach

This paper addresses the problem of robust fuzzy L2 - L∞ filtering for a class of uncertain nonlinear discretetime Markov jump systems (MJSs) with nonhomogeneous jump processes. The Takagi–Sugeno fuzzy model is employed to represent such nonlinear nonhomogeneous MJS with norm-bounded parameter uncer...

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Bibliographic Details
Main Authors:	Yin, Y., Shi, Peng, Liu, F., Teo, Kok Lay, Lim, C.
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers 2015
Subjects:	uncertain nonlinear system nonhomogeneous processes Markov jump system (MJS) Fuzzy L2 - L∞ filtering
Online Access:	http://hdl.handle.net/20.500.11937/42887

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