DocumentCode :
1409111
Title :
H/sub /spl infin// estimation for nonlinear systems
Author :
Burl, Jeff B.
Author_Institution :
Dept. of Electr. Eng., Michigan Technol. Univ., Houghton, MI, USA
Volume :
5
Issue :
8
fYear :
1998
Firstpage :
199
Lastpage :
202
Abstract :
An output estimator for a nonlinear system (the extended H/spl infin/ estimator) is developed based on suboptimal H/spl infin/ estimation theory. The performance bound, used in generating the estimator gain, depends on the model obtained by linearizing the plant about the current estimator state. Therefore, this model and the performance bound vary in an unpredictable manner. Computation of the minimal performance bound at each iteration is untractable, in general. A computationally reasonable adaptive algorithm for generating the performance bound is proposed. The use of this adaptive performance bound is illustrated by application to an example.
Keywords :
H/sup /spl infin optimisation; adaptive systems; nonlinear systems; parameter estimation; adaptive algorithm; adaptive performance bound; estimator gain; estimator state; extended H/spl infin/ estimator; minimal performance bound; nonlinear system; nonlinear systems; output estimator; plant model; suboptimal H/spl infin/ estimation theory; Adaptive algorithm; Cost function; Covariance matrix; Estimation error; Estimation theory; Nonlinear systems; Performance gain; Riccati equations; State estimation;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.704971
Filename :
704971
Link To Document :
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