Title :
Identification of IIR Nonlinear Systems Without Prior Structural Information
Author :
Bai, Er-Wei ; Tempo, Roberto ; Liu, Yun
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA
fDate :
3/1/2007 12:00:00 AM
Abstract :
In this paper, we propose a kernel method for identification of infinite impulse response (IIR) nonlinear systems without prior structural information. The main result of the paper is to establish the conditions for asymptotic convergence in terms of the input to output exponential stability. The performance of the method is tested on real world applications and computer simulations. The results obtained show the efficacy of the method
Keywords :
asymptotic stability; identification; nonlinear estimation; asymptotic convergence; exponential stability; identification; infinite impulse response nonlinear system; structural information; Asymptotic stability; Convergence; Kernel; Minimization methods; Neural networks; Nonlinear systems; Parameter estimation; Piecewise linear approximation; System identification; Testing; Kernel method; nonlinear system identification; parameter estimation; system identification;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2007.892385
