标题：Observer-based output-feedback control of large-scale networked fuzzy systems with two-channel event-triggering
作者：Zhong, Zhixiong; Zhu, Yanzheng
作者机构：[Zhong, Zhixiong] Xiamen Univ Technol, High Voltage Key Lab Fujian Prov, Xiamen 361024, Peoples R China.; [Zhong, Zhixiong] Minjiang Univ, Fujian Pr 更多
通讯作者地址：[Zhu, YZ]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China.
来源：JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
摘要：This paper concerns data transmissions for large-scale T-S fuzzy systems with event-triggering con-trol, where each subsystem communicates its information via a two-channel network. We propose an event-triggering scheme in which two event-triggering mechanisms are used to verify the data transmis-sions. At first, a novel model transformation is presented, where the event-triggered control system is reconstructed as a constant-delay system with extra inputs and outputs. By using a relaxed LyapunovKrasovskii functional (LKF) without the requirement of positive definiteness for all Lyapunov matrices, and the scaled small gain (SSG) theorem, the co-design problem of desired observer and controller gains, event-triggering parameters, and the sampling period is resolved in the form of linear matrix inequalities (LMIs). It will be shown that the solution guarantees the stability of closed-loop fuzzy control system and the reductions of data communications in both the sensor-to-controller and controller-to-actuator channels. The proposed method is validated by using a numerical example. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.