A new perspective on fuzzy control of the stochastic T-S fuzzy systems with sampled-data

• 来源期刊: 中国科学:化学（英文版）
• 年，卷（期）: 2019,（10）
• 页码范围: 199-201
• 页数: 3页
• 语种: 英文

摘要

Dear editor, In the past several decades,stability analysis and synthesis of It6 stochastic systems have gradually become the important areas of focus owing to their applications in many real-world systems,such as nuClear,thermal,chemical process,biological,socioeconomic,and immunological systems [1-5].In addition,nonlinearities exist in real plants,which always have more complex analyses than general linear systems.Moreover,the Takagi-Sugeno (T-S) fuzzy systems,which are described by a set of fuzzy IF-THEN rules and local linear systems,are widely accepted as convenient tools to address nonlinearities in the systems [6,7].However,most of these studies have utilized non-stochastic T-Sfuzzy systems.