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Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

7. Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-Time Nonlinear Systems

verfasst von : Ju H. Park, Hao Shen, Xiao-Heng Chang, Tae H. Lee

Erschienen in: Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

Verlag: Springer International Publishing

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Abstract

This chapter deals with the problem of resilient energy-to-peak filtering for a class of uncertain continuous-time nonlinear systems. To describe the nonlinear systems, the Takagi-Sugeno (T-S) fuzzy model with norm-bounded uncertainties is employed. By using a two-step approach, two new sufficient design conditions for the resilient filter are presented in terms of solutions to a set of linear matrix inequalities (LMIs), which guarantee the asymptotical stability and the prescribed energy-to-peak performance of the filtering error system. In contrast to the existing results for resilient energy-to-peak filter design, this chapter is toward all filter matrices with gain variations and improves the existing results. An example is provided to demonstrate the rationality of the theoretical results.

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Vorheriges Kapitel Reliable Event-Triggered Control for Markov Jump Systems
Nächstes Kapitel Fuzzy Generalized Filtering for Nonlinear Discrete-Time Systems With Measurement Quantization
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Metadaten
Titel
Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-Time Nonlinear Systems
verfasst von
Ju H. Park
Hao Shen
Xiao-Heng Chang
Tae H. Lee
Copyright-Jahr
2019
Buch
Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

Print ISBN: 978-3-319-96201-6

Electronic ISBN: 978-3-319-96202-3

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-96202-3_7

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