Neuro-Evolution of Continuous-Time Dynamic Process Controllers

Artificial neural networks are means which are, among several other approaches, effectively usable for modelling and control of non-linear dynamic systems.In case of modelling systems input and output signals are a-priori known, supervised learning methods can be used.But in Key Hanger case of controller design of dynamic systems the required (opti

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