DocumentCode
1147224
Title
Unbiased Filtering for Linear Descriptor Systems via LMI
Author
Darouach, M.
Author_Institution
Sch. of Autom., Southeast Univ., Nanjing, China
Volume
54
Issue
8
fYear
2009
Firstpage
1966
Lastpage
1972
Abstract
This note concerns the optimal H infin unbiased filtering problem for linear descriptor systems. It unifies the design of reduced-order, minimal-order and full-order filters for continuous and discrete-time systems. Necessary and sufficient conditions for the solvability of the problem are obtained in terms of a set of linear matrix inequalities (LMIs). The parametrization of all H infin unbiased filters is presented. Application to standard systems with or without unknown inputs is given. A numerical example is given to show the applicability of the presented approach.
Keywords
Hinfin control; continuous time systems; discrete time systems; filtering theory; linear matrix inequalities; linear systems; reduced order systems; LMI; continuous-time systems; discrete-time systems; full-order filter; linear descriptor systems; linear matrix inequality; minimal-order filter; necessary and sufficient conditions; optimal Hinfin unbiased filtering; reduced-order filter; solvability; Attenuation; Filtering; Gaussian noise; Kalman filters; Noise level; Noise measurement; Observability; Robustness; State estimation; Statistics; Descriptor systems; existence conditions; full order; linear matrix inequality (LMI); minimal order; rectangular systems; reduced order; unknown input estimation;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2009.2023962
Filename
5173487
Link To Document