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Parameter-dependent robust filtering for uncertain discrete-time systems
- Source :
-
Automatica . Feb2009, Vol. 45 Issue 2, p560-565. 6p. - Publication Year :
- 2009
-
Abstract
- Abstract: This paper is concerned with the problem of parameter-dependent filtering for discrete-time systems with polytopic uncertainties. The uncertain parameters are supposed to reside in a polytope. Being different from previous results in the quadratic framework, the parameter-dependent Lyapunov function is used in this paper. Both full- and reduced-order filters are designed, which guarantee the asymptotic stability and a prescribed performance level. The filter parameters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities, which can be solved via efficient interior-point algorithms. Numerical examples are presented to illustrate the feasibility and less conservativeness of the proposed method. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00051098
- Volume :
- 45
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Automatica
- Publication Type :
- Academic Journal
- Accession number :
- 36193472
- Full Text :
- https://doi.org/10.1016/j.automatica.2008.09.005