Title :
Identification of hammerstein model
Author :
Jia Li ; Li Xun-Long
Author_Institution :
Dept. of Autom., Shanghai Univ., Shanghai, China
Abstract :
Hammerstein model has the characteristics of simple structure and easy identified parameters, which can be used to model common nonlinear systems. In this paper, through extensive research, the identification methods of Hammerstein model are classified into two directions: synchronous identification and multi-step identification of static nonlinearity with dynamic linearity. Under these two directions, this paper surveys the identification methods of Hammerstein model and the newest achievements in this subject, it also points out the directions of the future development.
Keywords :
identification; nonlinear control systems; Hammerstein model identification; dynamic linearity; multistep identification; static nonlinearity; synchronous identification; Automation; Conferences; Convergence; Educational institutions; MIMO; Nonlinear systems; System identification; Hammerstein model; Model identification; structure identification;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
