DocumentCode
2414680
Title
Identification of Hammerstein system using nonparametric estimation and best uniform approximation polynomial
Author
Zi-qiang, Lang
Author_Institution
Dept. of Autom. Control, Northeast Univ. of Technol., Shenyang, Liaoning, China
fYear
1992
fDate
1992
Firstpage
933
Abstract
A novel polynomial identification method for the Hammerstein system is proposed. By using a nonparametric estimation method and best approximation theory, an approximating polynomial of the memoryless nonlinear element, with its order being selected adaptively, is obtained. The approximating polynomial can converge to the nonlinearity uniformly, and under the Lipschitz condition its convergence rate is considerable
Keywords
approximation theory; identification; polynomials; Hammerstein system; Lipschitz condition; best uniform approximation polynomial; memoryless nonlinear element; nonparametric estimation; polynomial identification method; uniform convergence; Approximation methods; Control nonlinearities; Control systems; Convergence; Lead; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Polynomials; Signal design; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371590
Filename
371590
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