Identification and Control Using Volterra Models, Softcover reprint of the original 1st ed. 2002 Communications and Control Engineering Series
Auteurs : Doyle F.J.III, Pearson R.K., Ogunnaike B.A.
Identification results are presented from both deterministic (least squares) and stochastic perspectives
The identification of Volterra series is addressed from a new perspective, bringing to light many new and significant results
Both direct synthesis techniques as well as more general, implicit formulations are discussed
Date de parution : 10-2013
Ouvrage de 314 p.
15.5x23.5 cm
Date de parution : 10-2001
Ouvrage de 314 p.
15.5x23.5 cm
Mots-clés :
Volterra models; electrical engineering; identification; model; modeling; nonlinear; nonlinear control