A New Event-Triggered Control Scheme for Stochastic Systems

被引:19
作者
Yu, Hao [1 ]
Chen, Tongwen [1 ]
Hao, Fei [2 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 1H9, Canada
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Res Div 7, Beijing 100191, Peoples R China
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Cost function; Kalman filters; Stability criteria; Estimation; Optimal control; Covariance matrices; Costs; Dynamic event-triggering conditions; event-triggered control; optimal control; stochastic systems; TO-STATE STABILITY; PERFORMANCE; GAIN;
D O I
10.1109/TAC.2022.3151727
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies event-triggered control of stochastic linear discrete-time systems with discounted quadratic cost functions. A new dynamic event-triggering condition is proposed, which has simultaneously stochastic and deterministic features. The designed event-triggered control system ensures the control performance to be within a desirable level relative to that using periodic time-triggered control, while discarding the unnecessary transmissions. By adjusting the parameters, the proposed event-triggering condition can be reduced to some existing ones in the literature. It is shown that the three features (dynamic, stochastic, and deterministic) are all helpful to further increase the average interevent times. Then, the criteria in terms of the parameters are presented to ensure mean-square stability of the closed-loop systems. Moreover, an improved version of the proposed event-triggering condition is given to enlarge the minimum interevent times. Finally, numerical simulations are given to illustrate the efficiency and feasibility of the proposed results.
引用
收藏
页码:1463 / 1478
页数:16
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