Title :
Identification of Hammerstein system using nonparametric estimation and best uniform approximation polynomial
Author_Institution :
Dept. of Autom. Control, Northeast Univ. of Technol., Shenyang, Liaoning, China
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;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371590
