DocumentCode
3265027
Title
Neural networks for nonlinear servomechanism
Author
Tseng, H. Chris ; Hwang, Victor H.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Santa Clara Univ., CA, USA
fYear
1991
fDate
9-11 Apr 1991
Firstpage
2414
Abstract
A study is made of the servomechanism problem in unknown stable nonlinear systems. With a neural network as an identifier of the input-output characteristics of the plant, an error-feedback controller that achieves tracking with all states remaining bounded is designed. The controller is applicable to uncertain systems
Keywords
control system synthesis; feedback; neural nets; nonlinear control systems; servomechanisms; control system synthesis; error-feedback controller; identifier; input-output characteristics; neural network; nonlinear servomechanism; uncertain systems; Control systems; Error correction; Gold; Jacobian matrices; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Robots; Servomechanisms; Uncertain systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location
Sacramento, CA
Print_ISBN
0-8186-2163-X
Type
conf
DOI
10.1109/ROBOT.1991.131984
Filename
131984
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