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Signal Processing
Volume 87, Issue 4, April 2007, Pages 709-724
 
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doi:10.1016/j.sigpro.2006.07.004    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier B.V. All rights reserved.

Delay-dependent generalized H2 filtering for uncertain systems with multiple time-varying state delays

Wen-an Zhanga, Corresponding Author Contact Information, E-mail The Corresponding Author, Li Yua and Xiefu Jiangb

aDepartment of Automation, Zhejiang University of Technology, Hangzhou 310032, PR China bFaculty of Business & Informatics, Central Queensland University, Rockhampton, Qld 4702, Australia

Received 11 April 2006; 
revised 5 July 2006; 
accepted 14 July 2006. 
Available online 15 August 2006.

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Abstract

A delay- and parameter-dependent approach to generalized H2 filtering is proposed for linear continuous-time uncertain systems with multiple time-varying state delays. The uncertain parameters are assumed to reside in a polytope, and the aim is to design a parameter-dependent or a parameter-independent filter such that the filtering error systems are assured to be asymptotically stable and a prescribed generalized H2 performance is guaranteed. The proposed filter design method possesses many advantages, such as the reduced conservatism of the obtained delay-dependent criteria due to adopting the newly established integral-inequality; the proposed new linearization technique and the parameter-dependent design method for the parameter-dependent filters. Both the conditions for the existence of the parameter-dependent and parameter-independent filters are presented in terms of linear matrix inequalities, and convex optimization problems are formulated to design the desired filters. A numerical example is given to illustrate the validity of the proposed design.

Keywords: Generalized H2 filtering; Time-delay systems; Polytopic uncertainty; Delay-dependence; Linear matrix inequality (LMI)

Article Outline

1. Introduction
2. Problem formulation and preliminaries
3. Generalized H2 filtering analysis
4. Generalized H2 filter design
5. Illustrative examples
6. Conclusions
Acknowledgements
References

Signal Processing
Volume 87, Issue 4, April 2007, Pages 709-724
 
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