MATHEMATICAL MODEL OF THE POWER SUPPLY SYSTEM CONTROL
Abstract
In this article, a simple mathematical model of a continuous stochastic power supply system is described. Some analytical approaches have been developed to describe the influence of production and stock, i.e. additional capacities on a hierarchical spatial pattern and demand. Using the Laplace transform, it is possible to solve the system of differential equations, which are represented with the continuous model. Due to the stochastic nature of system inputs, the optimality criteria with the Wiener filter are satisfied. The inverse Laplace transform is calculated with residues in the complex space. Furthermore, an interesting and efficient
approach with fuzzy logic is used, which is presented at the end of this article.
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References
DiStefano, J.J., Stubberud, A.R., Williams, I.,J.: Theory and Problems of Feedback and Control Systems, McgrawͲHill Book Company, 1987.
Usenik, J., Vidiēek, M., Vidiēek M., Usenik, J.: Control of the logistics system using Laplace transforms and fuzzy logic. Logistics and sustainable transport, 2008, vol. 1, issue 1, pp. 1Ͳ19.
Usenik, J.: Control of Traffic System in Conditions of Random or Fuzzy Input Processes, PrometͲTrafficͲTraffico, 2001, Vol. 13 No. 1, p. 1Ͳ8.
Bogataj, M., Usenik, J.: Fuzzy approach to the spatial games in the total market area. Int. j. prod. econ. [Print ed.], 2005, vol. 93Ͳ94, pp. 493Ͳ503.
Usenik, J., Bogataj, M.: A fuzzy set approach for a locationͲinventory model. Transp. plann. technol., 2005, vol. 28, no. 6, pp. 447Ͳ464.
Schneeweiss, C.: Regelungstechnische stochastische Optimierung Verfahren in Unternehmensforschung und Wirtschsaftstheorie, Springer Verlag, Berlin, 1971.
Kreyszig, E.: Advanced Engineering Mathematics, John Wiley & Sons, Inc., New York, 1999.
Ross, J., T.: Fuzzy Logic with Engineering Applications, 2nd ed., John Wiley Sons Ltd, The Atrium, Southern Gate, Chichester, England, 2004, reprinted 2005, 2007.
Terano, T., Asai, K., Sugeno, M.: Fuzzy Systems Theory and its Aplicactions, Academic Press, Inc., San Diego, London, 1992.
Usenik, J.: Fuzzy approach in process of multipleͲattribute decision making, JET Journal of Energy technology, Volume 1 (2009), p.p. 43Ͳ58.
FuzzyTech, Users Manual, 2000, INFORM GmbH, Inform Software Corporation.
Fabijan, D., Predin, A.: Optimal energy capacities and technologies for permanent and reliable electricity supply, considering risk control, JET Journal of Energy technology, Volume 2(2009), p.p.69Ͳ84.