Title :
Input sequence design for parametric identification of nonlinear systems
Author :
Chikkula, Yugender ; Lee, Jay H.
Author_Institution :
Dept. of Chem. Eng., Auburn Univ., AL, USA
Abstract :
We address the issue of designing optimal, plant-friendly input sequences for parametric identification of nonlinear systems. A sequential design methodology based on the constrained optimization of a parameter-space criterion is proposed. The optimization criterion/constraints are chosen to reflect the identification requirements such as information content of the resulting I/O data, control-relevancy, plant-friendly signal characteristics etc. The developments are focused on nonlinear moving average structures. Numerical simulations are presented in order to illustrate the effectiveness of the proposed methodology
Keywords :
nonlinear systems; parameter estimation; sequences; I/O data; constrained optimization; control-relevancy; information content; input sequence design; nonlinear moving average structures; optimal plant-friendly input sequences; parameter-space criterion; parametric identification; plant-friendly signal characteristics; sequential design methodology; Chemical engineering; Chemical processes; Constraint optimization; Design methodology; Design optimization; Electronic mail; Entropy; Nonlinear systems; Numerical simulation; Signal processing;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.612015
