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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
, 2
 and 1,*
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)
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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 reliable filtering; networked control system; data missing; quantization; sensor faults
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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 Style

Ju 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 Style

Ju, 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.



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