Hankel-Norm-Based Model Reduction for Stochastic Discrete-Time Nonlinear Systems in Interval Type-2 T–S Fuzzy Framework
IEEE Transactions on Cybernetics(2021)
摘要
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 is to simplify the high-order complex systems by reducing the order of the original system. The aim...
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关键词
Reduced order systems,Analytical models,Stochastic processes,Fuzzy systems,Mathematical model,Symmetric matrices,Nonlinear systems
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