Identifying the attitude of dynamic systems using neuralnetwork

Abstract

Modeling of dynamic systems using system identification became an important discipline as it overrides the errors that may be introduced by traditional modelling techniques. There are two methodologies for identification of systems' models; statistical and deterministic methods. Identification algorithms are proposed in this paper using deterministic neural network and compare the results with regression method. Here the authors are interested in identifying the input output relation of many dynamic systems such as satellites, UAV, Quadcopters etc.....