Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks.

Although the potential of the powerful mapping and representational capabilities of recurrent network architectures is generally recognized by the neural network research community, recurrent neural networks have not been widely used for the control of nonlinear dynamical systems, possibly due to th... View More