Article ID Journal Published Year Pages File Type
6863528 Neurocomputing 2018 7 Pages PDF
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 H∞, passivity, dissipativity, and L2−L∞ 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
, , , , ,