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 :
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