Positive filtering for positive 2D fuzzy systems under l(1) performance
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所属单位:自动化学院
发表刊物:IET CONTROL THEORY AND APPLICATIONS
关键字:fuzzy systems linear programming filtering theory asymptotic stability positive filtering positive 2D fuzzy systems two-dimensional Roesser T-S fuzzy systems error-bounding positive filters positive 2D T-S fuzzy systems filtering error system 1 performance linear programming problems asymptotic stability
摘要:In this study, the problem of positive filtering is investigated for positive two-dimensional (2D) Roesser T-S fuzzy systems under $\ell _{1}$l1-induced performance. Error-bounding positive filters are constructed to estimate the output of positive 2D T-S fuzzy systems. Firstly, a novel characterisation for asymptotic stability of the filtering error system with $\ell _{1}$l1-induced performance is derived. Then, based on that characterisation, sufficient conditions are derived to design the required filters expressed by linear programming problems. Finally, the theoretical results are illustrated through a numerical example.
ISSN号:1751-8644
是否译文:否
发表时间:2019-04-30
合写作者:Wang, Li Qun,沈俊
通讯作者:陈晓明