State estimation for uncertain nonlinear systems

M. R. James; I. R. Petersen

State estimation for uncertain nonlinear systems

M. R. James^*
, I. R. Petersen

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper considers a problem of robust filtering for a class of uncertain nonlinear systems with an integral constraint. The solution involves a set valued state estimate which is obtained by solving a Hamilton Jacobi Bellman equation. A robust version of the Extended Kalman Filter is presented. Two examples are discussed, including FM demodulation.

Original language	English
Pages	865-868
Number of pages	4
Publication status	Published - Aug 1996
Event	Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) - Gold Coast, Aust Duration: 25 Aug 1996 → 30 Aug 1996

Conference

Conference	Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2)
City	Gold Coast, Aust
Period	25/08/96 → 30/08/96

Cite this

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title = "State estimation for uncertain nonlinear systems",

abstract = "This paper considers a problem of robust filtering for a class of uncertain nonlinear systems with an integral constraint. The solution involves a set valued state estimate which is obtained by solving a Hamilton Jacobi Bellman equation. A robust version of the Extended Kalman Filter is presented. Two examples are discussed, including FM demodulation.",

author = "James, \{M. R.\} and Petersen, \{I. R.\}",

year = "1996",

month = aug,

language = "English",

pages = "865--868",

note = "Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) ; Conference date: 25-08-1996 Through 30-08-1996",

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AU - James, M. R.

AU - Petersen, I. R.

PY - 1996/8

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AB - This paper considers a problem of robust filtering for a class of uncertain nonlinear systems with an integral constraint. The solution involves a set valued state estimate which is obtained by solving a Hamilton Jacobi Bellman equation. A robust version of the Extended Kalman Filter is presented. Two examples are discussed, including FM demodulation.

UR - https://www.scopus.com/pages/publications/0030366098

M3 - Paper

AN - SCOPUS:0030366098

SP - 865

EP - 868

T2 - Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2)

Y2 - 25 August 1996 through 30 August 1996

ER -

State estimation for uncertain nonlinear systems

Abstract

Conference

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