| Robust H∞ filter design for networked control systems with missing measurement in finite-frequency domain | |
Zhao XG(赵新刚) ; Ye D(叶丹); Long, Yue
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| Department | 机器人学研究室 |
| Conference Name | 2013 IEEE International Conference on Mechatronics and Automation (ICMA) |
| Conference Date | August 4-7, 2013 |
| Conference Place | Takamastu, Japan |
| Source Publication | 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 |
| Publisher | IEEE Computer Society |
| Publication Place | Washington, DC |
| 2013 | |
| Pages | 1630-1635 |
| Indexed By | EI ; CPCI（ISTP） |
| EI Accession number | 20134817017470 |
| WOS ID | WOS:000335375900276 |
| Contribution Rank | 1 |
| ISBN | 978-1-4673-5560-5 |
| Keyword | Networked Control Systems H∞ Filter Missing Measurement Finite Frequency Linear Matrix Inequality |
| Abstract | The problem of finite frequency H∞ filter design for networked control systems (NCSs) with missing measurements is addressed in this paper. With consideration of possible data missing, the NCSs are first modeled to Markov jump systems (MJSs). A finite frequency stochastic H∞ performance is subsequently given. By using the linear matrix inequality (LMI) method and the generalized KYP Lemma, an analysis condition guaranteeing the system to be with such a performance is derived. With the aid of the condition, a procedure of filter synthesis such that finite frequency specifications are captured, is given in the framework of linear matrix inequality (LMI). A simulation example is exploited to demonstrate the effectiveness of the proposed design procedures. |
| Language | 英语 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/13926 |
| Collection | 机器人学研究室 |
| Recommended Citation GB/T 7714 | Zhao XG,Ye D,Long, Yue. Robust H∞ filter design for networked control systems with missing measurement in finite-frequency domain[C]. Washington, DC:IEEE Computer Society,2013:1630-1635. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Robust H∞ filter des（588KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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