Title :
Iterative algorithm for parameter identification of Hammerstein systems with two-segment nonlinearities
Author_Institution :
Dept. of Autom. & Control, Slovak Tech. Univ., Bratislava, Slovakia
fDate :
11/1/1999 12:00:00 AM
Abstract :
This paper deals with parameter identification of Hammerstein systems having two-segment polynomial nonlinearities. The application of a simple decomposition technique and using switching sequences provide a special form of a Hammerstein model that is linear-in-parameters. This model is used in an iterative algorithm, enabling simultaneous estimation of all of the model parameters. To demonstrate the feasibility of the identification method, more illustrative examples are included
Keywords :
iterative methods; nonlinear systems; parameter estimation; Hammerstein systems; decomposition technique; iterative algorithm; linear-in-parameters Hammerstein model; parameter identification; switching sequences; two-segment polynomial nonlinearities; Automation; Computational complexity; Iterative algorithms; Iterative methods; Linear approximation; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Polynomials; Transfer functions;
Journal_Title :
Automatic Control, IEEE Transactions on
