Inverse mapping with neural network for control of nonlinear systems

This paper demonstrates some aspects of the method of inverse mapping control. In place of using the commonly known method of plant inverse dynamics learning, the control sequence is calculated using an inverse mapping approach. The discussion on enhancement of the inverse mapping algorithm and its convergence is also provided. The problem of controller retraining during its operation is also discussed.