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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 51; no. 10; pp. 4934 - 4943
Main Authors:	Zeng, Yi, Lam, Hak-Keung, Wu, Ligang
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!