Coevolutionary Algorithm for Multivariable Discrete Linear Time-variant System Identification

Alexander E. Robles, Mateus Giesbrecht

2018

Abstract

A significant part of the works in system identification is focused on time-invariant dynamic systems. However, most of systems in the real applications have nonlinear and time variant behavior. In this paper, we present a multivariable time-variant identification method based on a paradigm in the field of evolutionary algorithms: The coevolutionary algorithm. This new method focuses on the relationship between the fitness of an individual in relation to the fitness of the other individuals (or group of individuals), based on the principle of the selective pressure, that is part of the evolutionary process. A brief comparison between a multivariable deterministic identification method MOESP-VAR and the proposed coevolutionary method is shown. From the results it is possible to notice that the proposed method presents an accuracy higher than the obtained with the deterministic identification method.

Paper Citation

in Harvard Style

Giesbrecht M. (2018). Coevolutionary Algorithm for Multivariable Discrete Linear Time-variant System Identification.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-321-6, pages 290-295. DOI: 10.5220/0006907602900295

in Bibtex Style

@conference{icinco18,
author={Mateus Giesbrecht},
title={Coevolutionary Algorithm for Multivariable Discrete Linear Time-variant System Identification},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2018},
pages={290-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006907602900295},
isbn={978-989-758-321-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Coevolutionary Algorithm for Multivariable Discrete Linear Time-variant System Identification
SN - 978-989-758-321-6
AU - Giesbrecht M.
PY - 2018
SP - 290
EP - 295
DO - 10.5220/0006907602900295