标题：H-infinity Performance Based Filtering for Time-Varying Systems via T-S Fuzzy Modelling
作者：Xia, Fengqin; Su, Xiaojie; Yang, Rongni
作者机构：[Xia, Fengqin; Su, Xiaojie] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China.; [Yang, Rongni] Shandong Univ, Sch Control Sci & Engn, 更多
会议名称：14th International Conference on Control, Automation, Robotics and Vision (ICARCV)
会议日期：NOV 13-15, 2016
来源：2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV)
关键词：Fuzzy systems; H-infinity performance; convex linearization approach;; reduced-order filter
摘要：This paper considers H-infinity reduced-order filtering problem for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delay in its state. Firstly, Based on the reciprocally convex methods and a novel fuzzy Lyapunov functional, the proposed basis-dependent condition is utilized to ensure that the resulted error system is asymptotically stable with a prescribed H-infinity performance and reduce the conservativeness. Then, By utilization of the convex linearization technique, the sufficient condition of reduced-order filter design can be casted into linear matrix inequality constraints. Finally, the desired filters can be obtained based on standard numerical algorithms.