Robust energy-to-peak filtering for networked systems with time-varying delays and randomly missing data
Robust energy-to-peak filtering for networked systems with time-varying delays and randomly missing data
- Author(s): H. Zhang ; Y. Shi ; A. Saadat Mehr
- DOI: 10.1049/iet-cta.2009.0243
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- Author(s): H. Zhang 1 ; Y. Shi 1 ; A. Saadat Mehr 2
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View affiliations
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Affiliations:
1: Department of Mechanical Engineering, University of Victoria, Victoria, Canada
2: Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada
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Affiliations:
1: Department of Mechanical Engineering, University of Victoria, Victoria, Canada
- Source:
Volume 4, Issue 12,
December 2010,
p.
2921 – 2936
DOI: 10.1049/iet-cta.2009.0243 , Print ISSN 1751-8644, Online ISSN 1751-8652
This study is concerned with the robust energy-to-peak (l2–l∞) filtering problem for a class of uncertain linear discrete-time networked control systems with time-varying delays and randomly missing data. The system matrices are assumed to reside in a convex polytope, and the time-varying delays appearing in system states are assumed to lie in a given interval. Moreover, the random data missing is supposed to satisfy the Bernoulli random binary distribution. The authors' goal is to design a full-order filter such that the filtering error dynamic system is exponentially mean-square stable for all admissible time delays and randomly missing data while a prescribed l2–l∞ performance is achieved. Sufficient delay- and parameter-dependent conditions for the existence of the filter and for the solvability of the addressed problem are given in terms of a set of linear matrix inequalities. Finally, simulation examples and comparison studies are provided to demonstrate the effectiveness of the proposed approach.
Inspec keywords: robust control; distributed control; linear matrix inequalities; discrete time systems; decentralised control; delays; time-varying systems
Other keywords:
Subjects: Discrete control systems; Multivariable control systems; Algebra; Stability in control theory; Distributed parameter control systems; Time-varying control systems
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