Neuro-Control and its Applications pp 85-170 | Cite as

# Neuro-Control Techniques

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## Abstract

In many real-world applications, there are many nonlinearities, unmodeled dynamics, unmeasurable noise, multiloop, etc., which pose problems to engineers in trying to implement control strategies. During the past two decades development of new control strategies has been largely based on modern and classical control theories. Modern control theory such as adaptive and optimal control techniques and classical control theory have been based mainly on linearization of systems [1]–[5].

## Keywords

Neural Network Hide Layer Plant Output Cerebellar Model Articulation Controller Multilayered Neural Network
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© Springer-Verlag London Limited 1996