Identification and Control of Non-linear Dynamical Systems Using Neural Networks

Identification and Control of Non-linear dynamical systems is a challenging probelm to the control engineers. The function approximation capability of artificial neural networks can be very effective in designing efficient system idnetification models and controllers for non-linear systems. Narendra and Parthsarathy [1] has suggested models for both identification and control of non-linear systems using neural networks. Simulation results for the various models suggested are reported in this paper.