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 case of controller design of dynamic systems the required (optimal) contro