Systems FDI Using Frequency Techniques Implemented with NN's

Most of non-linear type 1 and type 2 control systems suffers from lack of detectability when model based techniques are applied on FDI tasks. This research work presents an strategy based on frequency techniques which includes massive neural networks based functional approximation on a parity space approach. As consequence of such technique on non-linear plants of types one and two, useful results were achieved.