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

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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