Adaptive event-triggered H∞ fuzzy filter design for nonlinear networked systems via asymmetric LKF approach. Issue 12 (August 2022)

• Record Type: Journal Article
• Authors: Ma, Zhiyuan; Sheng, Zhaoliang; Lin, Chong; Chen, Bing
• Is Part Of: Journal of the Franklin Institute. Volume 359:Issue 12(2022)
• Page Start: 6523
• Page End: 6543
• Publication Date: 2022-08
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2022.06.008
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: This paper studies the problem of the fuzzy H ∞ filter design for nonlinear networked control systems through event-triggered communication (ETC) scheme. Firstly, an improved adaptive ETC scheme is proposed to save communication resources. Secondly, an asymmetric Lyapunov-Krasovskii functional (LKF) method is introduced in the H ∞ performance analysis of filter error systems. Then, a new sufficient condition is obtained to meet the H ∞ performance by combining the method with membership-function-dependent approach. Further, a relaxed co-design method of the corresponding filter and event-triggering parameters is obtained. Finally, two numerical examples are provided to verify the advantage of the new approaches.