Nervousness in Dynamic Self-organized Holonic Multi-agent Systems
New production control paradigms, such as holonic and multi-agent systems, allow the development of more flexible and adaptive factories. In these distributed approaches, autonomous entities possess a partial view of the environment, being the decisions taken from the cooperation among them. The introduction of self-organization mechanisms to enhance the system adaptation may cause the system instability when trying to constantly adapt their behaviours, which can drive the system to fall into a chaotic behaviour. This paper proposes a nervousness control mechanism based on the classical Proportional, Integral and Derivative feedback loop controllers to support the system self-organization. The validation of the proposed model is made through the simulation of a flexible manufacturing system.
KeywordsManufacturing System Optimal Plan Individual Entity Nervousness Control Autonomous Entity
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- 1.Banzhaf, W.: Self-organizing systems. In: Meyers, R.A. (ed.) Encyclopedia of Complexity and Systems Science, pp. 8040–8050. Springer, Heidelberg (2009)Google Scholar
- 2.Barbosa, J., Leitao, P.: Modelling and simulating self-organizing agent-based manufacturing systems. In: Proceedings of the 36th Annual Conference on IEEE Industrial Electronics Society (IECON 2010), pp. 2702–2707 (2010)Google Scholar
- 3.Camazine, S., Franks, N.R., Sneyd, J., Bonabeau, E., Deneubourg, J.L., Theraula, G.: Self-Organization in Biological Systems. Princeton University Press, Princeton (2001)Google Scholar
- 5.Hadeli, K., Valckenaers, P., Verstraete, P., Germain, B.S., Van Brussel, H.: A study of system nervousness in multi-agent manufacturing control system. In: Brueckner, S.A., Di Marzo Serugendo, G., Hales, D., Zambonelli, F. (eds.) ESOA 2005. LNCS (LNAI), vol. 3910, pp. 232–243. Springer, Heidelberg (2006)CrossRefGoogle Scholar
- 7.King, M.: Process Control: A Practical Approach. John Wiley & Sons (2010)Google Scholar
- 8.Parunak, H.V.D., Brueckner, S., Matthews, R.S., Sauter, J.A.: How to calm hyperactive agents. In: AAMAS, pp. 1092–1093. ACM (2003)Google Scholar
- 9.Zbib, N., Pach, C., Sallez, Y., Trentesaux, D.: Heterarchical production control in manufacturing systems using the potential fields concept. Journal of Intelligent Manufacturing, 1–22 (2010)Google Scholar