TY - GEN

T1 - Inverse response systems identification using genetic programming

AU - Carabalí, Carmen Alicia

AU - Tituaña, Luis

AU - Aguilar, Jose

AU - Camacho, Oscar

AU - Chavez, Danilo

N1 - Publisher Copyright:
Copyright © 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Genetic programming

KW - Inverse response

KW - System identification

UR - http://www.scopus.com/inward/record.url?scp=85029305640&partnerID=8YFLogxK

U2 - 10.5220/0006421602380245

DO - 10.5220/0006421602380245

M3 - Contribución a la conferencia

AN - SCOPUS:85029305640

T3 - ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics

SP - 238

EP - 245

BT - ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics

A2 - Gusikhin, Oleg

A2 - Madani, Kurosh

PB - SciTePress

T2 - 14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017

Y2 - 26 July 2017 through 28 July 2017

ER -