Multiagent Based Control Systems: A Hybrid Approach to Distributed Process Control
| Área de investigación: | Agentes Inteligentes | Año: | 1996 |
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| Tipo de publicación: | Artículo | Palabras clave: | Agents; distributed control; fuzzy expert systems; machine learning; power generation |
| Autores: |
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| Journal: | Control Engineering Practice | Volumen: | 4 |
| Número: | 6 | Páginas: | 839-845 |
| ISSN: | 0967-0661 | ||
| Coeficiente de impacto de la publicación: | 0.204 | ||
BibTex: |
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| Nota: | (Extended version of a paper previously published in the Preprints of the 13th IFAC Workshop on Distributed Computer Control Systems, DCCS-95, A. E. K. Sahraoui and J. A. de la Puente, editors, Toulouse, France, 1995) |
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| Abstract: | This paper presents a general architecture and a platform developed to implement distributed applications as a set of cooperating intelligent agents. It also shows how this architecture has been used to implement a distributed control system for a complex process: the economic control of a fossil-fuel fired power plant. Agents in this application encapsulate different distributed hardware/ software entities: neural and fuzzy controllers, a data-acquisition system, presentation manager, etc. These agents are defined in ADL (Agent Description Language), a high-level specification language, and interchange data/knowledge through service requests using a common knowledge-representation language. |
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| [Bibtex] | |||
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