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Sensors 2012, 12(6), 7975-7993; doi:10.3390/s120607975
Article
Reliable Finite Frequency Filter Design for Networked Control Systems with Sensor Faults
1
College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
2
College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110004, China
* Author to whom correspondence should be addressed.
Received: 6 April 2012; in revised form: 17 May 2012 / Accepted: 21 May 2012 / Published: 8 June 2012
(This article belongs to the Section Physical Sensors)
Download PDF Full-Text [154 KB, uploaded 8 June 2012 13:36 CEST]
Abstract: This paper is concerned with the reliable finite frequency filter design for networked control systems (NCSs) subject to quantization and data missing. Taking into account quantization, possible data missing and sensor stuck faults, NCSs are modeled in the framework of discrete time-delay switched systems, and the finite frequency l2 gain is adopted for the filter design of discrete time-delay switched systems, which is converted into a set of linear matrix inequality (LMI) conditions. By the virtues of the derived conditions, a procedure of reliable filter synthesis is presented. Further, the filter gains are characterized in terms of solutions to a convex optimization problem which can be solved by using the semi-definite programme method. Finally, an example is given to illustrate the effectiveness of the proposed method.
Keywords: reliable filtering; networked control system; data missing; quantization; sensor faults
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MDPI and ACS Style
Ju, H.-H.; Long, Y.; Wang, H. Reliable Finite Frequency Filter Design for Networked Control Systems with Sensor Faults. Sensors 2012, 12, 7975-7993.
AMA StyleJu H-H, Long Y, Wang H. Reliable Finite Frequency Filter Design for Networked Control Systems with Sensor Faults. Sensors. 2012; 12(6):7975-7993.
Chicago/Turabian StyleJu, He-Hua; Long, Yue; Wang, Heng. 2012. "Reliable Finite Frequency Filter Design for Networked Control Systems with Sensor Faults." Sensors 12, no. 6: 7975-7993.