Inverse Response Systems Identification using Genetic Programming

Carmen Alicia Carabalí, Luis Tituaña, Jose Aguilar, Oscar Camacho, Danilo Chavez

2017

Abstract

In this paper, we apply genetic programming as a tool for identifying an inverse response system. In previous works, the genetic programming has been used in the context of identification problems, where the goal is to obtain the descriptions of a given system. Identification problems have been studied much from control theory, due to their practical application in industry. In some cases, a description of a system in terms of mathematical equations is not possible, for these cases are necessary new heuristic approaches like the genetic programming. Here, we like to test the quality of the genetic programming to identify inverse response systems, which are systems where the initial response is in a direction opposite to the final outcome. The tool used to develop the model of identification is GPTIPS V2, we use our approach in two cases: in the first one, the equation that describes inverse response system is determined; and in the second case, the transfer function of the system in the frequency domain is found.

Paper Citation

in Harvard Style

Carabalí C., Tituaña L., Aguilar J., Camacho O. and Chavez D. (2017). Inverse Response Systems Identification using Genetic Programming . In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-263-9, pages 238-245. DOI: 10.5220/0006421602380245

in Bibtex Style

@conference{icinco17,
author={Carmen Alicia Carabalí and Luis Tituaña and Jose Aguilar and Oscar Camacho and Danilo Chavez},
title={Inverse Response Systems Identification using Genetic Programming},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2017},
pages={238-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006421602380245},
isbn={978-989-758-263-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Inverse Response Systems Identification using Genetic Programming
SN - 978-989-758-263-9
AU - Carabalí C.
AU - Tituaña L.
AU - Aguilar J.
AU - Camacho O.
AU - Chavez D.
PY - 2017
SP - 238
EP - 245
DO - 10.5220/0006421602380245