State feedback control for lurie networked control systems
来源期刊：中南大学学报(英文版)2012年第12期
论文作者：陈刚 朱红求 阳春华 HU Chun-hua(胡春华)
文章页码：3510 - 3515
Key words：networked control systems; stability and stabilization; network-induced delay; cone complementary linearization algorithm
Abstract: The problem of the stability analysis and controller design for Lurie networked control systems (NCSs) is investigated, in which the network-induced delays and data dropout problems are simultaneously considered. By considering that the network-induced delays are assumed to be time-varying and bounded, and analyzing the relationship between the delay and its upper bound, employing a Lyapunov-Krasovskii function and an integral inequality approach, an improved stability criterion for NCSs is proposed. Furthermore, the resulting condition is extended to design a less conservative state feedback controller by employing an improved cone complementary linearization (ICCL) algorithm. Numerical examples are provided to show the effectiveness of the method.
CHEN Gang(陈刚)1,2, ZHU Hong-qiu(朱红求)1, YANG Chun-hua(阳春华)1 , HU Chun-hua(胡春华)3
(1. School of Information Science and Engineering, Central South University, Changsha 410083, China;
2. School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412008, China;
3. School of Computer and Electronic Engineering, Hunan University of Commerce, Changsha 410205, China)
Abstract:The problem of the stability analysis and controller design for Lurie networked control systems (NCSs) is investigated, in which the network-induced delays and data dropout problems are simultaneously considered. By considering that the network-induced delays are assumed to be time-varying and bounded, and analyzing the relationship between the delay and its upper bound, employing a Lyapunov-Krasovskii function and an integral inequality approach, an improved stability criterion for NCSs is proposed. Furthermore, the resulting condition is extended to design a less conservative state feedback controller by employing an improved cone complementary linearization (ICCL) algorithm. Numerical examples are provided to show the effectiveness of the method.
Key words:networked control systems; stability and stabilization; network-induced delay; cone complementary linearization algorithm
