Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process

Haber Guerra, Rodolfo E.; Juanes Rodríguez, Carmelo; Toro Matamoros, Raúl Mario del y Beruvides López, Gerardo (2015). Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process. "Computers in Industry", v. 74 ; pp. 135-150. ISSN 0166-3615. https://doi.org/10.1016/j.compind.2015.05.001.

Descripción

Título: Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process
Autor/es:
  • Haber Guerra, Rodolfo E.
  • Juanes Rodríguez, Carmelo
  • Toro Matamoros, Raúl Mario del
  • Beruvides López, Gerardo
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers in Industry
Fecha: 3 Junio 2015
Volumen: 74
Materias:
Palabras Clave Informales: Cognitive control; Industrial application; Micro manufacturing process
Escuela: Centro de Automática y Robótica (CAR) UPM-CSIC
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Nowadays, even though cognitive control architectures form an important area of research, there are many constraints on the broad application of cognitive control at an industrial level and very few systematic approaches truly inspired by biological processes, from the perspective of control engineering. Thus, our main purpose here is the emulation of human socio-cognitive skills, so as to approach control engineering problems in an effective way at an industrial level. The artificial cognitive control architecture that we propose, based on the shared circuits model of socio-cognitive skills, seeks to overcome limitations from the perspectives of computer science, neuroscience and systems engineering. The design and implementation of artificial cognitive control architecture is focused on four key areas: (i) self-optimization and self-leaning capabilities by estimation of distribution and reinforcement-learning mechanisms; (ii) portability and scalability based on low-cost computing platforms; (iii) connectivity based on middleware; and (iv) model-driven approaches. The results of simulation and real-time application to force control of micro-manufacturing processes are presented as a proof of concept. The proof of concept of force control yields good transient responses, short settling times and acceptable steady-state error. The artificial cognitive control architecture built into a low-cost computing platform demonstrates the suitability of its implementation in an industrial setup.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaDPI2012-3 5504CONMICRO projectSin especificarSin especificar

Más información

ID de Registro: 43641
Identificador DC: http://oa.upm.es/43641/
Identificador OAI: oai:oa.upm.es:43641
Identificador DOI: 10.1016/j.compind.2015.05.001
URL Oficial: http://www.sciencedirect.com/science/article/pii/S0166361515300014
Depositado por: Memoria Investigacion
Depositado el: 03 Abr 2017 16:16
Ultima Modificación: 03 Jun 2017 22:30
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