Inverse control of nonlinear systems using neural network observer and inverse mapping approach

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.