Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear sys

The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It uses a number of simulated and indu

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems f

Intelligent systems are a hallmark of modern feedback control systems. But as these systems mature, we have come to expect higher levels of performance in speed

This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known appro