Identification and control of dynamical systems using neural networks

Narendra and Parthasarathy systematically classified four neural network identification models and four control architectures for nonlinear dynamical systems, proving stability conditions for each. They extended adaptive control theory to the neural network setting using backpropagation-through-time, providing the first principled NN-based framework for nonlinear system identification and control.