Synthesis of a Robust H∞ Fuzzy Filter forUncertain Nonlinear Dynamical Systems
This paper considers the problem of designing a robust fuzzy filter for a TS fuzzy system with parametric uncertainties that the guarantees the L2gain from an exogenous input to an estimate error output being less than or equal to a prescribed value. Sufficient conditions for the existence of the H∞ fuzzy filter are given in terms of a set of LMIs. In this paper, the premise variables of the H∞ fuzzy filter are allowed to be different from the premise variables of the TS fuzzy model of the plant such that the results are shown into two cases which are the premise variable of the fuzzy model be measurable and the premise variable assumed to be unmeasurable.
Fuzzy systems Lyapunov function Fuzzy filtering, LMIs
Wudhichai Assawinchaichote Sing Kiong Nguang
Dept.of Electronic and Telecom.Eng.King Mongkuts Uni.of Tech.Thonburi ,Bangkok, Thailand Dept.of Electrical and Computer Eng.The University of Auckland Auckland, New Zealand
国际会议
上海
英文
61-65
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）