Title :
System identification: from frequency response to soft computing
Author :
Sinha, Naresh K.
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Abstract :
This paper presents a brief survey of the classical methods of system identification and their shortcomings. It also presents the advances made using tools from artificial intelligence, and discusses the directions for future work utilizing the advances made in soft computing.
Keywords :
artificial intelligence; control system analysis computing; frequency response; identification; artificial intelligence tools; frequency response; soft computing; system identification; Angular velocity; Books; Differential equations; Frequency response; Multi-layer neural network; Neural networks; Nonlinear systems; Predictive models; Servomotors; System identification;
Conference_Titel :
Industrial Technology 2000. Proceedings of IEEE International Conference on
Print_ISBN :
0-7803-5812-0
DOI :
10.1109/ICIT.2000.854103
