Title :
The self-adaptive identification of quick-response electric resistance furnace
Author :
Wang, Xiaoping ; Zhang, Hao
Author_Institution :
East China Univ. of Chem. Technol., Shanghai, China
Abstract :
The objects of identification include the identification of the system construction and coefficient of differential equations. In this paper, we combine the classical engineering method with the parameter online identification algorithm, under typical signals input and different white noise levels, to obtain the satisfied parameters in the electric resistance furnace parameter identification
Keywords :
adaptive control; differential equations; identification; resistance furnaces; white noise; adaptive control; differential equations; electric resistance furnace; online identification; self-adaptive identification; system construction; white noise; Adaptive control; Control systems; Electric resistance; Furnaces; Mathematics; Nonlinear control systems; Nonlinear equations; Optical control; Signal processing; Temperature control;
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
DOI :
10.1109/ICIT.1996.601547
