Title :
Inverse nonlinear control using neural networks
Author :
Lee, T.H. ; Hang, C.C. ; Lian, L.I. ; Lim, B.C.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Kent Ridge, Singapore
Abstract :
A strategy for controlling a class of nonlinear dynamical systems using techniques based on neural networks is presented. The inverse nonlinear controller using neural networks is called the INC/NN controller. Properties of the controller are discussed, and results of some real-time experiments in applying the proposed INC/NN controller to a position control system with inherent nonlinearities are presented. The results provide experimental verification for the effectiveness of the INC/NN strategy
Keywords :
computerised control; control nonlinearities; neural nets; nonlinear control systems; position control; INC/NN controller; inherent nonlinearities; inverse nonlinear controller; neural networks; nonlinear dynamical systems; position control system; real-time; Control systems; Error correction; Neural networks; Nonlinear control systems; Position control; Tiles;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170697
