DocumentCode
2187927
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
Volume
2
fYear
2000
fDate
19-22 Jan. 2000
Firstpage
76
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology 2000. Proceedings of IEEE International Conference on
Print_ISBN
0-7803-5812-0
Type
conf
DOI
10.1109/ICIT.2000.854103
Filename
854103
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