Identification of Delta Operator System Using Neural Network

Abstract

This paper proposes application of neural network in identification of dynamical system modelled with delta operator. The advantage of using delta operator such as greater numerical robustness in computation compared to shift operator is considered. Model for identification is implemented into realizable neural network structure using the inverse delta operator. Simulation example is presented to demonstrate that the proposed identification scheme works very well.