期刊
AUTOMATICA
卷 146, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2022.110535
关键词
Output feedback tracking control; Markov jump systems; Compensation strategy; Single exponential smoothing (SES) technique; Hidden Markov model
资金
- National Natural Science Foundation of China [LR22F030003, 62073143, 61922063]
- Shanghai Natural Science Foundation, China [62003139, 22ZR1416200]
- Program of Shanghai Academic Research Leader, China [20ZR1415200]
- Shanghai and HongKong-Macao-Taiwan Science and Technology Cooperation Project, China [19XD 1421000]
- Shanghai Shuguang Project, China [19510760200]
- Innovation Program of Shanghai Municipal Education Commission, China [18SG18]
- Natural Science Foundation of Zhejiang Province, China [2021-01-07-00-02-E00107]
This paper focuses on the compensation scheme for Markov jump systems, where a novel compensation strategy is proposed using single exponential smoothing technique and an asynchronous output feedback tracking controller is designed for stability and dissipativity of the tracking error system.
This paper is concerned with the problem of dissipative output feedback tracking control for Markov jump systems under compensation scheme. The measured output of the system is assumed to be dropped in a probabilistic way before being transmitted to the controller. By virtue of the single exponential smoothing technique, a novel compensation strategy is proposed to help offset the impact of missing measurements. On this basis, an asynchronous output feedback tracking controller is designed to ensure the stochastic stability and strict dissipativity of the tracking error system. Then, sufficient conditions for the existence of the controller are derived via the mode-dependent and fuzzy-basis-dependent Lyapunov function. Finally, two practical examples are provided to illustrate the validity and applicability of the developed approach. (c) 2022 Published by Elsevier Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据