Journal
INTERNATIONAL JOURNAL OF CONTROL
Volume 82, Issue 3, Pages 517-524Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207170802179947
Keywords
robust filtering; H filter; time-varying uncertainty; linear matrix inequalities (LMIs); indirect adaptive method
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Funding
- Program for New Century Excellent Talents in University [NCET-04-0283]
- Funds for Creative Research Groups of China [60521003]
- Program for Changjiang Scholars and Innovative Research Team in University [IRT0421]
- State Key Program of National Natural Science of China [60534010]
- Funds of National Science of China [60674021]
- Funds of PhD program of MOE, China [20060145019]
- 111 Project [B08015]
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This article studies the problem of designing robust H filters for linear uncertain systems. The uncertainty parameters are assumed to be time-varying, unknown, but bounded, which appear affinely in the matrices of system models. An adaptive mechanism is introduced to construct novel filters with variable gains, which can reduce the conservativeness of the traditional robust H filters. The proposed adaptive filter design conditions are given in terms of linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the proposed strategy.
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