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

Volume

1

fYear

2008

fDate

6-8 Sept. 2008

Firstpage

21702

Lastpage

23529

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IS.2008.4670439

Filename

4670439