Title :
Identification of wiener systems : the least amount of a priori information
Author :
Bai, Er-Wei ; Reyland, John, Jr.
Author_Institution :
Univ. of Iowa, Iowa City
Abstract :
In this paper, we investigate what constitutes the least amount of a priori information on the nonlinearity so that the linear part is identifiable in the non-Gausian case. Three types of a priori information are considered including quadrant information, point information and locally monotonous information. In all three cases, identifiability has been established and corresponding identification algorithms are developed with their convergence proofs.
Keywords :
nonlinear control systems; stochastic processes; Wiener system identification; nonGausian case; nonlinear system; quadrant information; Cities and towns; Convergence; Finite impulse response filter; Linear systems; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Piecewise linear techniques; System identification; Hammerstein systems; nonlinear systems; system identification;
Conference_Titel :
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1281-5
Electronic_ISBN :
978-1-4244-1282-2
DOI :
10.1109/MED.2007.4433803