摘要
针对具有随机时延、状态难以测量等问题的网络控制系统,提出一种基于状态观测器的均方指数稳定控制器设计方法.使用变采样周期的方式将网络控制系统离散化,将系统建模为马尔科夫跳变系统,然后设计了基于状态观测器的反馈控制器,证明了闭环系统的均方指数稳定性,通过求解线性矩阵不等式给出了观测器和控制器反馈增益设计方法.仿真结果验证了所提设计方法的有效性.
In order to tackle the stochastic time delay and state measurement obstacle in networked control systems,an observer-based mean square exponential stabilization controller was proposed in this paper. Firstly,the considered networked system was discretized by variable-period sampling and was modelled as a Markov jump system. Then,an observer and feedback controller was constructed. The mean square exponential stability of the closed loop system was shown. The observer and feedback gain was given by solving linear matrix inequalities. Simulation results demonstrated the effectiveness of the proposed method.
作者
刘艳红
杨东伟
LIU Yanhong;YANG Dongwei(School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China)
出处
《郑州大学学报(工学版)》
CAS
北大核心
2018年第3期10-14,共5页
Journal of Zhengzhou University(Engineering Science)
基金
国家自然科学基金资助项目(61473265)
河南省高校科技创新团队支持计划项目(17IRTSTHN013)
关键词
网络控制系统
变采样周期
马尔科夫模型
观测器
均方指数稳定
network control system
variable-period sampling
Markov model
observer
mean square expo-nential stability