Memorias de investigación
Research Publications in journals:
Variable Threshold Algorithm for Division of Labor Analyzed as a Dynamical System
Year:2014
Research Areas
  • Systems theory: control,
  • Complex dynamical systems,
  • Differences on equations
Information
Abstract
Division of labor is a widely studied aspect of colony behavior of social insects. Division of labor models indicate how individuals distribute themselves in order to perform different tasks simultaneously. However, models that study division of labor from a dynamical system point of view cannot be found in the literature. In this paper, we define a division of labor model as a discrete-time dynamical system, in order to study the equilibrium points and their properties related to convergence and stability. By making use of this analytical model, an adaptive algorithm based on division of labor can be designed to satisfy dynamic criteria. In this way, we have designed and tested an algorithm that varies the response thresholds in order to modify the dynamic behavior of the system. This behavior modification allows the system to adapt to specific environmental and collective situations, making the algorithm a good candidate for distributed control applications. The variable threshold algorithm is based on specialization mechanisms. It is able to achieve an asymptotically stable behavior of the system in different environments and independently of the number of individuals. The algorithm has been successfully tested under several initial conditions and number of individuals.
International
Si
JCR
Si
Title
Ieee Transactions on Systems Man And Cybernetics Part B-Cybernetics
ISBN
1083-4419
Impact factor JCR
3,236
Impact info
Datos JCR del año 2012
Volume
10.1109/TCYB.2014.2305194
Journal number
From page
1
To page
11
Month
FEBRERO
Ranking
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Generación Distribuida Renovable y Control Inteligente
  • Departamento: Electrónica Física
  • Centro o Instituto I+D+i: Instituto de Energía Solar
  • Departamento: Tecnología Fotónica y Bioingeniería