Intelligent Control of Uncertain Complex Systems by Adaptation of Fuzzy Ontologies

A new approach for intelligent control is proposed for complex uncertain plants using synergism between multi-agent and ontology based frameworks. A multi stage procedure is developed for situation recognition, strategy selection and control algorithm parameterization following coordinated objective function. Fuzzy logic based extension of conventional ontology is implemented to meet uncertainties in the plant, its environment and sensor information. Ant colony optimization is applied to realize trade-off between requirements and control resources as well as for significant reduction of the communication rate among the intelligente agents. To react on unexpected changes in operational conditions certain adaptation functionality of the fuzzy ontology is foreseen. A multi-dimensional cascade system is considered and some simulation results are presented for variety of strategies implemented.

[1]  Thomas Stützle,et al.  Ant colony optimization: artificial ants as a computational intelligence technique , 2006 .

[2]  Antonio Valero,et al.  On-Line Thermoeconomic Diagnosis of Thermal Power Plants , 1999 .

[3]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[4]  Henry Wu.  A Multi-Agent Framework For Power System Automation , 2006 .

[5]  Umberto Straccia,et al.  Reasoning within Fuzzy Description Logics , 2011, J. Artif. Intell. Res..

[6]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[7]  Ian Horrocks,et al.  Fuzzy OWL: Uncertainty and the Semantic Web , 2005, OWLED.

[8]  Elie Sanchez,et al.  A Fuzzy Ontology-Approach to improve Semantic Information Retrieval , 2007, URSW.

[9]  Dipti Srinivasan,et al.  An Introduction to Multi-Agent Systems , 2010 .

[10]  G. N. Marichal,et al.  A MAS IMPLEMENTATION FOR SYSTEM IDENTIFICATION AND PROCESS CONTROL , 2006 .

[11]  John Yen,et al.  Using fuzzy ontology for query refinement in a personalized abstract search engine , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[12]  S. A. Manesis,et al.  Intelligent control of wastewater treatment plants , 1998, Artif. Intell. Eng..

[13]  Thomas Stützle,et al.  Ant Colony Optimization , 2009, EMO.

[14]  M.B. Hadjiski,et al.  Intelligent Agents Based Non -- Square Plants Control , 2006, 2006 3rd International IEEE Conference Intelligent Systems.

[15]  Silva José Reinaldo,et al.  Multi-Agent Control System of a Kraft Recovery Boiler , 2008 .

[16]  Harald Weber,et al.  INTELLIGENT CONTROL SOLUTIONS FOR STEAM POWER PLANTS TO BALANCE THE FLUCTUATION OF WIND ENERGY , 2008 .

[17]  Andrea Toffolo,et al.  Thermoeconomic Philosophy Applied to the Operating Analysis and Diagnosis of Energy Utility Systems , 2004 .