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Authors: Carmen Alicia Carabalí 1 ; Luis Tituaña 2 ; Jose Aguilar 1 ; Oscar Camacho 1 and Danilo Chavez 2

Affiliations: 1 Escuela Politécnica Nacional and Universidad de Los Andes, Ecuador ; 2 Escuela Politécnica Nacional, Ecuador

ISBN: 978-989-758-263-9

Keyword(s): Genetic Programming, Inverse Response, System Identification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computation and Control ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Nonlinear Signals and Systems ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; System Identification

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 t he frequency domain is found. (More)

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Paper citation in several formats:
Carabalí, C.; 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

@conference{icinco17,
author={Carmen Alicia Carabalí. and 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},
}

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 - Carabalí, C.
AU - Tituaña, L.
AU - Aguilar, J.
AU - Camacho, O.
AU - Chavez, D.
PY - 2017
SP - 238
EP - 245
DO - 10.5220/0006421602380245

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