Abstract
Most of the continuous processes (e.g. chemical processes) are monitored and controlled in the classical way, i.e. entirely by the process operator based on the measurement data. However, in many cases, due to the nonlinear nature of some continuous processes, the use of this approach may not always be sufficiently efficient. In particular, it concerns a large class of biological processes (bioprocesses) for which more complex data analysis is required. Hence, this paper presents the possibility of application of a Multi Agent System (MAS) as a support for the process operator. The proposed solution being a combination of the classical approach and the MAS, called Hybrid Intelligent Operations and Measurements (HIOM), is tested based on the simulation runs of a mathematical model of the bioprocess.
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Skupin, P., Metzger, M. (2012). The Application of Multi-Agent System in Monitoring and Control of Nonlinear Bioprocesses. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28942-2_3
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DOI: https://doi.org/10.1007/978-3-642-28942-2_3
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