DocumentCode :
1559966
Title :
Modeling and parameter identification of systems with multisegment piecewise-linear characteristics
Author :
Vörös, Jozef
Author_Institution :
Dept. of Autom. & Control, Slovak Tech. Univ., Bratislava, Slovakia
Volume :
47
Issue :
1
fYear :
2002
fDate :
1/1/2002 12:00:00 AM
Firstpage :
184
Lastpage :
188
Abstract :
This paper deals with the modeling and parameter identification of nonlinear systems having multi-segment piecewise-linear characteristics. The decomposition of the corresponding mapping provides a new form of multi-segment nonlinearity representation, leading to an output equation where all the parameters to be estimated are separated. Hence, an iterative method with internal variable estimation can be applied for parameter identification using input/output data records. The only required a-priori knowledge of the nonlinear characteristic represents the limits for the domain partition. The proposed model of given static nonlinearity is also incorporated into the Hammerstein model. Examples of parameter identification for static and dynamic systems with multi-segment piecewise-linear characteristics are presented
Keywords :
modelling; nonlinear systems; parameter estimation; piecewise linear techniques; Hammerstein model; domain partition limits; dynamic systems; input/output data records; internal variable estimation; iterative method; mapping decomposition; modeling; multi-segment nonlinearity representation; multi-segment piecewise-linear characteristics; nonlinear systems; output equation; parameter estimation; parameter identification; separated parameters; static nonlinearity; static systems; Control systems; Heating; Iterative methods; Least squares approximation; Nonlinear equations; Nonlinear systems; Parameter estimation; Piecewise linear approximation; Piecewise linear techniques; Servomechanisms;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.981742
Filename :
981742
Link To Document :
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