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Agent-Based Control of Self-sustained Oscillations in Industrial Processes: A Bioreactor Case Study

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Agent and Multi-Agent Systems. Technologies and Applications (KES-AMSTA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7327))

Abstract

Application of the Agent and Multiagent Systems (AMAS) in the industrial continuous processes can be a quite interesting and effective solution, especially for monitoring and controlling purposes of bioreactor systems. In the classical approach, a process operator controls the process, but sometimes must take some essential decisions concerning the choice of control strategy. In the case of biological processes, due to their highly nonlinear nature, this can be quite difficult task. For instance, the oscillatory behavior of the bioreactor may lead to higher or lower average biomass concentrations. Hence, there is a need to support the operator by measuring and controlling some additional parameters and this cannot be achieved using only measuring devices and classical control algorithms alone. Based on the agent technology, it has been shown that it is possible to support the operator and to achieve process goals.

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Skupin, P., Metzger, M. (2012). Agent-Based Control of Self-sustained Oscillations in Industrial Processes: A Bioreactor Case Study. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_24

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  • DOI: https://doi.org/10.1007/978-3-642-30947-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30946-5

  • Online ISBN: 978-3-642-30947-2

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