DocumentCode
1617243
Title
Indentification of dynamic systems: a systematic approach
Author
Zhu, Hai-An ; Hung, James C.
Author_Institution
AI & Robot Inst., Xi´´an Jiaotong Univ., China
fYear
1990
Firstpage
131
Abstract
A systematic procedure of parameter estimation for dynamic systems is presented as a basic approach for system modeling and control. With this approach, parameters of linear discrete- and/or continuous-time, multivariable dynamic systems can be estimated. The proposed technique has advantages over most of the existing techniques, such as flexibility, computational simplicity, and straightforwardness. On the basis of this concept as well as the derived algorithms, some new algorithms of system identification can be derived. Identification practice has demonstrated that the proposed approach gives good results
Keywords
discrete time systems; linear systems; multivariable control systems; parameter estimation; algorithms; continuous time systems; dynamic systems; linear discrete time systems; multivariable dynamic systems; parameter estimation; Artificial intelligence; Control system analysis; Control system synthesis; Control theory; Difference equations; Parameter estimation; Recursive estimation; Robots; State estimation; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location
Pacific Grove, CA
Print_ISBN
0-87942-600-4
Type
conf
DOI
10.1109/IECON.1990.149124
Filename
149124
Link To Document