DocumentCode :
306920
Title :
l1 state estimation for linear systems using nonlinear observers
Author :
Stoorvogel, Anton A.
Author_Institution :
Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Netherlands
Volume :
3
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
2407
Abstract :
In this paper we study the l1 optimal estimation problem for linear systems. It has been shown in the literature that in contrast with the state feedback problem it is in general sufficient to consider only linear controllers. However these estimators can have very high complexity. In this paper we study whether by using nonlinear estimators we can obtain estimators of a lower complexity
Keywords :
computational complexity; linear systems; nonlinear systems; observers; optimal control; l1 state estimation; linear systems; lower complexity estimators; nonlinear observers; Closed loop systems; Cost function; Ear; Filtering; Linear systems; Nonlinear systems; Observers; State estimation; State feedback; Time invariant systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.573449
Filename :
573449
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=306920
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