Name
Abstract | ||
|---|---|---|
This paper investigates the robust H-infinity, filtering problem for linear systems with uncertainties which are described by integral functional constraints. The objective is to design a dynamic filter such that the L-2-gain from an exogenous input to an estimate error is minimized or guaranteed to be less than or equal to a prescribed value for all admissable uncertainties. We establish the intel connection between the robust linear H-infinity filtering problem and the linear H-infinity,filtering problem for systems without uncertainties. Using the existing model-matching approach to linear H-infinity filtering for known systems results, we obtain a characterization for the family of robust,linear H-infinity, in the form of a state space representation. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1080/002077299291769 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE |
Field | DocType | Volume |
Model matching,Mathematical optimization,Linear system,Control theory,State-space representation,Filter (signal processing),Filtering problem,Robust filtering,Interconnection,Mathematics | Journal | 30 |
Issue | ISSN | Citations |
10 | 0020-7721 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sing Kiong Nguang | 1 | 1326 | 103.71 |
| Chih-min Lin | 2 | 1 | 0.35 |
| SK Nguang | 3 | 9 | 1.74 |
| CM Lin | 4 | 59 | 3.88 |