$l_1$ state estimation for linear systems using non-linear observers

A.A. Stoorvogel

doi:10.1109/CDC.1996.573449

$l_1$ state estimation for linear systems using non-linear observers

A.A. Stoorvogel

Center for Analysis, Scientific Computing and Applications

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper we study the l/sub 1/ 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.

Original language	English
Title of host publication	Proceedings 35th IEEE Conference on Decision and Control (Kobe, Japan, December 11-13, 1996)
Publisher	Institute of Electrical and Electronics Engineers
Pages	2407-2411
Number of pages	5
ISBN (Print)	0-7803-3590-2
DOIs	https://doi.org/10.1109/CDC.1996.573449
Publication status	Published - 1996

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10.1109/CDC.1996.573449

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title = "$l_1$ state estimation for linear systems using non-linear observers",

abstract = "In this paper we study the l/sub 1/ 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.",

author = "A.A. Stoorvogel",

year = "1996",

doi = "10.1109/CDC.1996.573449",

language = "English",

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$l_1$ state estimation for linear systems using non-linear observers. / Stoorvogel, A.A.
Proceedings 35th IEEE Conference on Decision and Control (Kobe, Japan, December 11-13, 1996). Institute of Electrical and Electronics Engineers, 1996. p. 2407-2411.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - In this paper we study the l/sub 1/ 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.

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M3 - Conference contribution

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BT - Proceedings 35th IEEE Conference on Decision and Control (Kobe, Japan, December 11-13, 1996)

PB - Institute of Electrical and Electronics Engineers

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$l_1$ state estimation for linear systems using non-linear observers

Abstract

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