期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
卷 65, 期 9, 页码 2992-3004出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSI.2018.2824306
关键词
Linear repetitive processes; time-varying systems; quantization effect; Round-Robin protocol; resilient filter
资金
- National Natural Science Foundation of China [61673110]
- Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]
- Fundamental Research Funds for the Central Universities
- Royal Society of the U.K.
- Alexander von Humboldt Foundation of Germany
In this paper, the resilient filtering problem is investigated for a class of linear time-varying repetitive processes with communication constraints. The communication between the sensors and the remote filter, which is subject to uniform quantizations, is carried out through a shared communication medium where only one sensor has access to the network at each transmission time. To prevent data from collisions, the Round-Robin (R-R) protocol scheduling is applied to orchestrate the transmission order of sensor nodes in a periodic manner. Moreover, stochastic perturbations on the gain parameters are taken into account in the course of the actual filter implementation. The main purpose of the addressed problem is to design a resilient filter such that, in the presence of the uniform quantization, the R-R protocol, and the filter gain perturbation, a certain upper bound is guaranteed on the filtering error variance and subsequently minimized at each time instant. By means of intensive stochastic analysis and mathematical induction, sufficient condition is provided to ensure the local minimization of certain upper bound on the filtering error variance. Furthermore, the boundedness issue is also discussed with respect to the filtering error variance. Finally, a numerical example is employed to demonstrate the effectiveness of the proposed filter strategy.
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