Neural network control systems incorporating parallel adaptive enhancements

Abstract

The authors present neural network strategies which incorporate an additional parallel neural network to provide adaptive enhancements to the basic fixed neural network based controllers. These proposed adaptive neural network control systems are applicable to nonlinear dynamical systems which are normally encountered in many position control servomechanisms. The effectiveness of these controllers are demonstrated in real-time implementation experiments for position control in a servomechanism with asymmetrical loading and changes in the load.