Enhancing functionality of complex plant hybrid control system using case-based reasoning

Author

Hadjiski, M. ; Boishina, V.

Author_Institution

Inst. of Inf. Technol., Bulgarian Acad. of Sci. (BAS), Sofia, Bulgaria

fYear

2010

fDate

7-9 July 2010

Firstpage

25

Lastpage

30

Abstract

A hybrid control system with Case Based Reasoning (CBR) procedure is considered. It is intended for complex industrial plants in abnormal and fault situations where the conventional control systems cannot work autonomously. CBR systems allow capture and use a specific experience by Case Base (CB) creation, similarity assessment, case adaptation and learning new cases. Some new results are incorporated into the traditional CBR cycle, relevant to control tasks - uncertainty, presence of multivariant solutions from different operators, rational distribution of knowledge among autonomous agents, ontologies and CBR-system. Simulation results are represented for an industrial plant with a non-square matrix.

Keywords

case-based reasoning; industrial control; industrial plants; ontologies (artificial intelligence); case adaptation; case base creation; case learning; case-based reasoning; complex industrial plants; hybrid control system; similarity assessment; Autonomous agents; Chemical technology; Control systems; Industrial plants; Intelligent agent; Multiagent systems; Ontologies; Safety; Telephony; Uncertainty; Case-Based Reasoning; Control System; Knowledge Multi-Agent System;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (IS), 2010 5th IEEE International Conference

Conference_Location

London

Print_ISBN

978-1-4244-5163-0

Electronic_ISBN

978-1-4244-5164-7

Type

conf

DOI

10.1109/IS.2010.5548354

Filename

5548354