Title :
Identification of Hammerstein models for control
Author_Institution :
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
Abstract :
Identification of single-input single-output Hammerstein models is studied. First we define identification for control that has four problems. In parameter estimation, prediction error criterion is used in order to maintain consistence when the process is operating in closed-loop. A relaxation iteration scheme is proposed by making use of a model structure in which the error is bilinear in the parameters. The order of the linear part and nonlinear part are determined by looking at an output error related criterion which is control-relevant
Keywords :
bilinear systems; closed loop systems; iterative methods; parameter estimation; prediction theory; relaxation theory; SISO Hammerstein models; bilinear error; closed-loop operation; identification; parameter estimation; prediction error criterion; relaxation iteration scheme; Computational modeling; Convergence; Equations; Least squares methods; Linear approximation; Maximum likelihood estimation; Parameter estimation; Predictive models; Reduced order systems; Testing;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.760673
