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High-Gain Nonlinear Observer With Lower Tuning Parameter.

Authors :
Zemouche, Ali
Zhang, Fan
Mazenc, Frederic
Rajamani, Rajesh
Source :
IEEE Transactions on Automatic Control; Aug2019, Vol. 64 Issue 8, p3194-3209, 16p
Publication Year :
2019

Abstract

This paper develops a new high-gain observer design method for nonlinear systems that has a lower gain compared to the standard high-gain observer. This new observer, called HG/LMI observer, is obtained by combining the standard high-gain methodology with the LMI-based observer design technique. Through analytical developments, this paper shows how the new observer provides lower gains, shows how it applies to systems with multinonlinear functions, and analyzes performance in the presence of measurement noise and/or delayed output measurements. A numerical example is given to illustrate the increasing advantage of the new HG/LMI observer with increase in the observer's “compromise index.” Finally, the applicability and performance of the observer is demonstrated for a real-world application consisting of a train's magnetic levitation system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189286
Volume :
64
Issue :
8
Database :
Complementary Index
Journal :
IEEE Transactions on Automatic Control
Publication Type :
Periodical
Accession number :
137857838
Full Text :
https://doi.org/10.1109/TAC.2018.2882417