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2. Modeling coupled electric drives systems using a modified NARMAX model.

Author

Zakaria, Mohd Zakimi, Mansor, Zakwan, Nor, Azuwir Mohd, Baharudin, Mohamad Ezral, Saad, Mohd Sazli, Rahim, Shayfull Zamree Abd, Saad, Mohd Nasir Mat, Abdullah, Mohd Mustafa Al Bakri, Tahir, Muhammad Faheem Mohd, and Mortar, Nurul Aida Mohd

Subjects
*ELECTRIC drives, *DYNAMICAL systems, *DIFFERENTIAL evolution, *MOVING average process, *DYNAMIC models
Abstract

The nonlinear auto-regressive moving average with exogeneous input (NARMAX) model known as one of superior type of models to represent a wide class of dynamic systems. In this paper, a modified NARMAX is proposed in modeling dynamic system. The aim is to investigate the performance of the modified NARMAX model and compared to the conventional NARMAX model for modeling CE8 coupled electric drives system. Multi-objective optimization differential evolution (MOODE) algorithm is used as a model structure selection algorithm to obtain the final model from both approached models. Model predicted output (MPO) test is applied in order to reveal the performance of each model. Through the MPO test, it is concluded that the modified NARMAX model offers a better predicted output than conventional NARMAX model. [ABSTRACT FROM AUTHOR]

Published
2020
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