TY - GEN
T1 - The application of multi-agent system in monitoring and control of nonlinear bioprocesses
AU - Skupin, Piotr
AU - Metzger, Mieczyslaw
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - CSTB
KW - Hybrid Intelligent Operations and Measurements
KW - Multi Agent System
KW - agent-based process control
KW - biomass productivity
KW - self-sustained oscillations
UR - https://www.scopus.com/pages/publications/84858785941
U2 - 10.1007/978-3-642-28942-2_3
DO - 10.1007/978-3-642-28942-2_3
M3 - Conference contribution
AN - SCOPUS:84858785941
SN - 9783642289415
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 25
EP - 36
BT - Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings
T2 - 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012
Y2 - 28 March 2012 through 30 March 2012
ER -