Title :
Inverting recurrent neural networks for internal model control of nonlinear systems
Author :
Kambhampati, C. ; Craddock, R. ; Tham, M. ; Warwick, K.
Author_Institution :
Dept. of Cybern., Reading Univ., UK
Abstract :
In this paper, we show how a set of recently derived theoretical results for recurrent neural networks can be applied to the production of an internal model control system for a nonlinear plant. The results include determination of the relative order of a recurrent neural network and invertibility of such a network. A closed loop controller is produced without the need to retrain the neural network plant model. Stability of the closed-loop controller is also demonstrated
Keywords :
closed loop systems; model reference adaptive control systems; neurocontrollers; nonlinear control systems; recurrent neural nets; stability; closed-loop controller; internal model control; internal model control system; nonlinear systems; recurrent neural network invertibility; recurrent neural network relative order determination; Control system synthesis; Control systems; Cybernetics; Filters; Inverse problems; Neural networks; Nonlinear control systems; Nonlinear systems; Recurrent neural networks; Stability;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703554
