SELF-ADAPTIVE MULTI-AGENT SYSTEM FOR SELF-REGULATING REAL-TIME PROCESS - Preliminary Study in Bioprocess Control

Sylvain Videau, Carole Bernon, Pierre Glize

Abstract

Bioprocesses are especially difficult to model due to their complexity and the lack of knowledge available to fully describe a microorganism and its behavior. Furthermore, controlling such complex systems means to deal with their non-linearity and their time-varying aspects. In order to overcome these difficulties, we propose a generic approach for the control of a bioprocess. This approach relies on the use of an Adaptive Multi-Agent System (AMAS), acting as the controller of the bioprocess. This gives it genericity and adaptability, allowing its application to a wide range of problems and a fast answer to dynamic modifications of the real system. The global control problem will be turned into a sum of local problems. Interactions between local agents, which solve their own inverse problem and act in a cooperative way, will enable the emergence of an adequate global function for solving the global problem while fulfilling the user's request. An instantiation of this approach is then applied to an equation solving problem, and the related results are presented and discussed.

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Paper Citation


in Harvard Style

Videau S., Bernon C. and Glize P. (2010). SELF-ADAPTIVE MULTI-AGENT SYSTEM FOR SELF-REGULATING REAL-TIME PROCESS - Preliminary Study in Bioprocess Control . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-674-022-1, pages 30-37. DOI: 10.5220/0002725100300037


in Bibtex Style

@conference{icaart10,
author={Sylvain Videau and Carole Bernon and Pierre Glize},
title={SELF-ADAPTIVE MULTI-AGENT SYSTEM FOR SELF-REGULATING REAL-TIME PROCESS - Preliminary Study in Bioprocess Control},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2010},
pages={30-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002725100300037},
isbn={978-989-674-022-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - SELF-ADAPTIVE MULTI-AGENT SYSTEM FOR SELF-REGULATING REAL-TIME PROCESS - Preliminary Study in Bioprocess Control
SN - 978-989-674-022-1
AU - Videau S.
AU - Bernon C.
AU - Glize P.
PY - 2010
SP - 30
EP - 37
DO - 10.5220/0002725100300037