Abstract：This paper deals with a new method which provides an automatic gain tuning of the servo-motor controlwith neural network application.The proposed method is practically suitable for the software based servocon-troler.When external parameters change,the system can adapt itslef to new external conditions.The pro-posed scheme has practically been verified by implementing into a self-developed control system so called "Flexible Servo Controller" in U.C.Davis.
[1] N K Sinma(ed). Microprocessoe-based control system. D Reidel Publishing Company,1986
[2] George N Saridis. Self-organizing control of stochastic system. Marcel Dekker Inc
[3] Graha. C Goodwin, Gwai Sang Sun. Adaptive filling prediction and control. Prentice Hall Inc
[4] Frank de Scheper. A study on flexible and intelligent servo controller for actuator in mechatronics systems. Ph D theme.Toyohashi University of Technology. 1989
[5] Marvin Minsky, Seymour Papert. Pereeptrons, an introduction to computational geometry. The MIT Press, 1988
[6] Bernard P Windrow, Rodney G Winter, Robert A Baxter. Layered neural nets for pattern recognition. IEEE Trana on ASSP, 1988:36 (7):1109-1117
[7] Richard P Lippmann. An introduction to computing with neural nets. IEEE ASSP Magazine, 1987, 4-22
