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 - https://www.scopus.com/pages/publications/85029305640
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 -