Hankel-Norm-Based Model Reduction for Stochastic Discrete-Time Nonlinear Systems in Interval Type-2 T-S Fuzzy Framework

This article is concerned with the problem of the Hankel-norm model reduction for stochastic discrete-time nonlinear systems in interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy framework. The IT2 T-S fuzzy model is an efficient model for describing uncertain nonlinear systems, and the model reduction...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 51; H. 10; S. 4934 - 4943
Hauptverfasser:	Zeng, Yi, Lam, Hak-Keung, Wu, Ligang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Analytical models Complex systems Discrete time systems Fuzzy systems Hankel-norm-based model reduction interval type-2 Takagi–Sugeno (IT2 T–S) fuzzy model Linear matrix inequalities Mathematical analysis Mathematical model membership-functions-dependent (MFD) technique Model reduction Nonlinear systems Reduced order systems stochastic nonlinear systems Stochastic processes Symmetric matrices
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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