Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6863528 | Neurocomputing | 2018 | 7 Pages |
Abstract
This paper considers the problem of extended dissipativity analysis and synthesis for network control systems under an event-triggered scheme, where the extended dissipativity analysis unifies the Hâ, passivity, dissipativity, and L2âLâ performance in one framework. Firstly, the proposed system is modeled as a network control system with an suitable event-triggered scheme. Then, by using the improved integral inequality and reciprocally convex inequality technique, sufficient condition to guarantee the extended dissipativity of the network control systems is given in terms of linear matrix inequalities (LMIs). Furthermore, the design of the state feedback controller is also proposed. Finally, numerical examples are given to illustrate the efficiency of the addressed method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Meiyu Li, Jianli Zhao, Jianwei Xia, Guangming Zhuang, Weihai Zhang,