Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4947145 | Neurocomputing | 2017 | 34 Pages |
Abstract
This paper aims at designing a full-order non-fragile Hâ fuzzy filter for the Takagi-Sugeno (T-S) systems with state and disturbance dependent noise and multiple fading measurements. The Lth-order Rice fading model is utilized to describe multipath fading. A sufficient condition is derived to guarantee the filtering error system is exponentially mean-square stable with a prespecified Hâ performance. Then, the filter parameters are obtained by solving the linear matrix inequalities(LMIs). Finally, two illustrative examples are exploited to demonstrate the effectiveness of the proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Huaxiang Han, Xiaohua Zhang, Zhijian Sun, Weidong Zhang,