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
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
the frequency domain is found.
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