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
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;
Conference_Titel :
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-8186-2163-X
DOI :
10.1109/ROBOT.1991.131984
