Title :
Adaptation of fuzzy ontology for cascade multi - agent system
Author :
Hadjiski, M. ; Sgurev, V. ; Boishina, V.
Author_Institution :
Inst. of Inf. Technol., Bulgarian Acad. of Sci. (BAS), Sofia
Abstract :
An intelligent multicascade control system is proposed using hybrid multi-agent and ontology framework. 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. Some simulation results are presented.
Keywords :
control engineering computing; fuzzy logic; intelligent control; multi-agent systems; ontologies (artificial intelligence); ant colony optimization; cascade multiagent system; fuzzy logic; fuzzy ontology adaptation; hybrid multi-agent system; intelligent multicascade control system; sensor information; Ant colony optimization; Communication system control; Control systems; Fuzzy logic; Fuzzy systems; Hybrid intelligent systems; Intelligent control; Intelligent sensors; Ontologies; Uncertainty; Adaptation; control system; fuzzy logic; multi - agent system; ontology;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670439
