On robust H-infinity filter design for uncertain neural systems: LMI optimization approach
SCIE
SCOPUS
- Title
- On robust H-infinity filter design for uncertain neural systems: LMI optimization approach
- Authors
- Park, JH; Kwon, O; Lee, S; Won, S
- Date Issued
- 2004-12-15
- Publisher
- ELSEVIER SCIENCE INC
- Abstract
- This article deals with the robust H-infinity, filtering problem for neutral delay differential systems with parametric uncertainties. A linear matrix inequality (LMI) approach is proposed to design the robust H-infinity filter such that the filtering system remains asymptotically stable and the bound of H-infinity. norm is minimized. The Lyapunov stability theory is used for analysis of the system. A numerical example is provided to illustrate the validity of proposed design approach. (C) 2003 Elsevier Inc. All rights reserved.
- Keywords
- neutral systems; uncertainty; H infinity filtering; Lyapunov theory; linear matrix inequalities; DELAY-DIFFERENTIAL SYSTEMS; STABILITY
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24923
- DOI
- 10.1016/J.AMC.2003.0
- ISSN
- 0096-3003
- Article Type
- Article
- Citation
- APPLIED MATHEMATICS AND COMPUTATION, vol. 159, no. 3, page. 625 - 639, 2004-12-15
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