This study provides a hands-on approach to intelligent control with a special focus on neuro-control. The authors present various types of neuro-control paradigms based on the backpropagation algorithm. Examples for applications of neuro-control techniques to real control problems illustrate how the techniques are implemented. A comparison of neuro-control methodologies with conventional and traditional control methods enables the reader to select the appropriate control technique. Neuro-Control and Its Applications is a response to the explosion of interest in neuro-control methods. It is predicted that neuro-control techniques will soon be available for domestic appliances and industrial control systems, similar to the fuzzy logic revolution of recent years.
