Pareto Optimal Filter Design for Nonlinear Stochastic Fuzzy Systems via Multiobjective H /H Optimization

This paper is concerned with the multiobjective H 2 /H ∞ filtering design problem in nonlinear signal processing, which can be approximated by a Takagi-Sugerno (T-S) fuzzy signal system. We propose a multiobjective filter design to estimate state variables from noisy measurements for nonlinear signa...

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Bibliographic Details

Published in:	IEEE transactions on fuzzy systems Vol. 23; no. 2; pp. 387 - 399
Main Authors:	Chen, Bor-Sen, Lee, Hsin-Chun, Wu, Chien-Feng
Format:	Journal Article
Language:	English
Published:	IEEE 01.04.2015
Subjects:	Filtering Filtering algorithms Noise Noise measurement Pareto optimization Stochastic processes multiobjective problem (MOP) multiobjective fuzzy filter Linear matrix inequality (LMI) pareto optimal solutions Takagi–Sugerno (T–S) fuzzy model
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
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