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Application of the holonic approach in distributed control systems designing

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Design of a multidisciplinary project is a complicated process requiring cooperation of different designers specialized in particular branches of engineering. The paper proposes a holonic approach to testify that a solution of distributed control systems is compliant with dynamically changing technology rules with ontology-based decomposition. The proposed holarchy includes a multi-agent system considering also its hybrid control architecture connected with a self-organization database. The proposed approach was implemented for a biotechnological pilot-plant continuously working as a platform for several process investigations.

Original languageEnglish
Title of host publicationHolonic and Multi-Agent Systems for Manufacturing - 3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007, Proceedings
PublisherSpringer Verlag
Pages257-268
Number of pages12
ISBN (Print)9783540744788
DOIs
Publication statusPublished - 2007
Event3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007 - Regensburg, Germany
Duration: 3 Sept 20075 Sept 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4659 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007
Country/TerritoryGermany
CityRegensburg
Period3/09/075/09/07

UN SDGs

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

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Design methodologies
  • Holonic systems
  • Industrial applications
  • Knowledge ontologies
  • Multi-agent systems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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