The real-time identification of dynamic systems by using the neural net approach

Neural networks play a significant role in the sphere of control of a dynamic systems. It can be appropriately used for continuous identification of parameters of the system as neural controllers, etc. The neural networks must be correctly learnt to meet our requirements. There is a great number of learning algorithms. Among the most used learning algorithms belong the Levenberg-Marquardt and backpropagation.