Title :
An identification method for the Wiener model of nonlinear systems
Author :
Hu, D.W. ; Wang, Z.Z.
Author_Institution :
Dept. of Autom. Control, Changsha Inst. of Technol., Hunan, China
Abstract :
Using three-level-pseudorandom-sequences with different amplitudes as input signals, the authors identify the impulse response functions of the linear part and the polynomial coefficients of the nonlinear part of the discrete-time Wiener model of nonlinear systems. The authors study the exact identification of the Wiener model without noise and the convergence and the tolerable bounds of the parameter estimators in the presence of disturbance. Some simulation results are included
Keywords :
discrete time systems; identification; nonlinear control systems; transient response; Wiener model; convergence; discrete-time Wiener model; disturbance; identification method; impulse response functions; noise; nonlinear systems; polynomial coefficients; three-level-pseudorandom-sequences; tolerable bounds; Control system synthesis; Convergence; Logic; Nonlinear control systems; Nonlinear systems; Parameter estimation; Pharmaceuticals; Polynomials; Signal processing; Statistics; Transducers;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261420
