Abstract
Multiagent industrial system for monitoring and control of electrical power distribution is analyzed in the paper. The main goals of the multiagent system are to produce the set of hypotheses as a diagnosis of the state of the industrial system after faults have occurred and to prepare the restoration plan to return the system to a steady state. This system is combined from four types of agents. Co-operation between agents of the system is expressed by FIPA interaction protocol diagram. In the paper, the emphasis is put on performance evaluation, which is mainly based on system dynamics. In FIPA, the most extensive models of dynamics are statecharts. Performance statecharts are such statecharts that are extended by probability distributions of activity duration times, deterministic termination times, and probability distributions for solving non-determinism. Performance analysis of the industrial system using performance statecharts is carried over in the paper. The performance statecharts of described multiagent system (MAS) is characterized by the following statistical performance metrics: the probability of creation of an accepted restoration plan pr and the mean alarm reaction time t_mn. These metrics will be used in simulation experiments in tuning of values of agent maximal times of waiting for messages in order to optimize the values of the metrics.
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Babczyński, T., Kruczkiewicz, Z., Magott, J. (2004). Performance Analysis Of Multiagent Industrial System. In: Klusch, M., Ossowski, S., Kashyap, V., Unland, R. (eds) Cooperative Information Agents VIII. CIA 2004. Lecture Notes in Computer Science(), vol 3191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30104-2_18
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DOI: https://doi.org/10.1007/978-3-540-30104-2_18
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