Title :
Inverse control of nonlinear systems using neural network observer and inverse mapping approach
Author :
Malinowski, Aleksander ; Zurada, Jacek M. ; Lilly, John H.
Author_Institution :
Louisville Univ., KY, USA
Abstract :
This paper introduces a new approach to inverse control. Unlike using commonly known method of plant inverse dynamics learning, the control sequence is calculated using inverse mapping approach. Both methods are compared with nonlinear plant examples and selected desired waveforms
Keywords :
backpropagation; discrete time systems; feedforward neural nets; neurocontrollers; nonlinear dynamical systems; observers; backpropagation; control sequence; discrete time systems; feedforward neural networks; identification; inverse dynamic control; inverse mapping control; neural network observer; nonlinear systems; Adaptive control; Control systems; Equations; Linear systems; Manufacturing processes; Modems; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear systems;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487757