Hybrid multi-agent system for knowledge management in distributed control system

Dariusz Choinski; Mieczyslaw Metzger; Witold Nocon

doi:10.1007/978-3-642-21219-2_17

Hybrid multi-agent system for knowledge management in distributed control system

Dariusz Choinski
, Mieczyslaw Metzger
, Witold Nocon

Department of Automatic Control and Robotics (RAU/RAU3)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.

Original language	English
Title of host publication	Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings
Publisher	Springer Verlag
Pages	124-131
Number of pages	8
Edition	PART 1
ISBN (Print)	9783642212185
DOIs	https://doi.org/10.1007/978-3-642-21219-2_17
Publication status	Published - 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6678 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation
SDG 9 Industry, Innovation, and Infrastructure

Keywords

Bioprocess stimulation
Distributed Control System
Hybrid Multi-Agent System
Knowledge management
OPC
Ontology

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-21219-2_17

Cite this

Choinski, D., Metzger, M., & Nocon, W. (2011). Hybrid multi-agent system for knowledge management in distributed control system. In Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings (PART 1 ed., pp. 124-131). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6678 LNAI, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-21219-2_17

Choinski, Dariusz ; Metzger, Mieczyslaw ; Nocon, Witold. / Hybrid multi-agent system for knowledge management in distributed control system. Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1. ed. Springer Verlag, 2011. pp. 124-131 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.",

keywords = "Bioprocess stimulation, Distributed Control System, Hybrid Multi-Agent System, Knowledge management, OPC, Ontology",

author = "Dariusz Choinski and Mieczyslaw Metzger and Witold Nocon",

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Choinski, D, Metzger, M & Nocon, W 2011, Hybrid multi-agent system for knowledge management in distributed control system. in Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6678 LNAI, Springer Verlag, pp. 124-131. https://doi.org/10.1007/978-3-642-21219-2_17

Hybrid multi-agent system for knowledge management in distributed control system. / Choinski, Dariusz; Metzger, Mieczyslaw; Nocon, Witold.
Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1. ed. Springer Verlag, 2011. p. 124-131 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6678 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hybrid multi-agent system for knowledge management in distributed control system

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AU - Metzger, Mieczyslaw

AU - Nocon, Witold

PY - 2011

Y1 - 2011

N2 - DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.

AB - DCS (Distributed Control System) software systems are one of the typical applications in industry used for monitoring, measurement and control. The paper deals with knowledge management based on Hybrid Multi-Agent System environment and the presented solutions are intended to enable dual abstraction of DCS both for ontology and control system design in a platform independent way. Hybrid Multi-Agent based software systems successfully join both reliability and efficiency in knowledge management processes which is a key aspect of robust automation software system. The proposed hybrid control system is designed for stimulation of wastewater treatment pilot process.

KW - Bioprocess stimulation

KW - Distributed Control System

KW - Hybrid Multi-Agent System

KW - Knowledge management

KW - OPC

KW - Ontology

UR - https://www.scopus.com/pages/publications/85038031445

U2 - 10.1007/978-3-642-21219-2_17

DO - 10.1007/978-3-642-21219-2_17

M3 - Conference contribution

AN - SCOPUS:85038031445

SN - 9783642212185

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 124

EP - 131

BT - Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings

PB - Springer Verlag

ER -

Choinski D, Metzger M, Nocon W. Hybrid multi-agent system for knowledge management in distributed control system. In Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1 ed. Springer Verlag. 2011. p. 124-131. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-21219-2_17

Hybrid multi-agent system for knowledge management in distributed control system

Abstract

Publication series

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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