Title :
Plant-friendly identification of second-order Volterra models
Author :
Doyle, F.J. ; Parker, R.S. ; Pearson, R.K. ; Ogunnaike, B.A.
Author_Institution :
Dept. of Chem. Eng., Univ. of Delaware, Newark, DE, USA
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
The primary focus of this paper is the identification of second-order Volterra models using input sequences that offer the following three advantages: (i) the are "plant friendly;" (ii) they simplify the required computations; and (iii) they can emphasize certain model parameters over others. To provide a quantitative basis for discussing the first of these advantages, this paper defines a friendliness index f that relates to the number of changes that occur in the sequence.
Keywords :
Volterra series; chemical analysis; identification; friendliness index; plant-friendly identification; quantitative basis; second-order Volterra models; Computational modeling; Indexes; Mathematical model; Predictive models; Stochastic processes; White noise; Input Sequence Design; Nonlinear Identification; Process Control; Volterra Series Model;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
