Control Design of Nonlinear Networked Control Systems via Takagi-Sugeno Fuzzy Model

被引：0
|
作者：
Yoneyama, Jun [1 ,2 ]
机构：
[1] Univ Calif Los Angeles, Dept Mech & Aerosp Engn, Los Angeles, CA 90095 USA
[2] Aoyama Gakuin Univ, Dept Elect & Elect Engn, Tokyo, Japan
来源：
2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) | 2017年
关键词：
Fuzzy systems; Intelligent control; Networks; Nonlinear control systems; Time-delay; STABILITY ANALYSIS; STABILIZATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper discusses control design of nonlinear networked systems which are described by the Takagi-Sugeno fuzzy time-delay systems. In the networked control system, the information is exchanged with packets through a network where the data packets encounter delays. Sine the control signal is delayed, the closed-loop system with the controller can be modeled as a fuzzy system with time-varying delays in sensor and actuator modes. Based on Lyapunov-Krasovskii stability theorem, the control design problem of a nonlinear networked control system which has time-varying delays is considered. Multiple Lyapunov-Krasovskii function with multiple integral functions allows us to obtain drastically less conservative conditions for a networked control system to be asymptotically stable. Based on this approach, a novel control design method for a networked control system is proposed.
引用
收藏
页码：1920 / 1926
页数：7
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