Abstract
This paper studies the properties of resource networks with sink vertices called absorbing resource networks. In the presence of at least two sinks, the resource distribution in the limit state depends on the initial state of the network. We formulate two control problems in such networks. Sinks are treated as goal vertices. Control vertices represent some subset of vertices in the transition component.
Similar content being viewed by others
References
Kuznetsov, O.P., Uniform Resource Networks. I. Complete Graphs, Autom. Remote Control, 2009, vol. 70, no. 11, pp. 1889–1900.
Kuznetsov, O.P. and Zhilyakova, L.Yu., Bidirectional Resource Networks: A New Flow Model, Dokl. Math., 2010, vol. 82, no. 1, pp. 643–646.
Zhilyakova, L.Yu., Asymmetrical Resource Networks. I. Stabilization Processes for Low Resources, Autom. Remote Control, 2011, vol. 72, no. 4, pp. 798–807.
Zhilyakova, L.Yu., Asymmetric Resource Networks. II. Flows for Large Resources and Their Stabilization, Autom. Remote Control, 2012, vol. 73, no. 6, pp. 1016–1028.
Zhilyakova, L.Yu., The Study of Euler Resource Networks, Upravlen. Bol’sh. Sist., 2013, no. 41, pp. 28–50.
Ford, L.R., Jr. and Fulkerson, D.R., Flows in Networks, Princeton: Princeton Univ. Press, 1962. Translated under the title Potoki v setyakh, Moscow: Mir, 1966.
Ahuja, R.K., Magnanti, T.L., and Orlin, J.B., Network Flows: Theory, Algorithms, and Applications, New Jersey: Prentice Hall, 1993.
Lovasz, L. and Winkler, P., Mixing of Random Walks and Other Diffusions on a Graph, in Surveys in Combinatorics, Rowlinson, P., Ed., London Math. Soc., Lecture Notes Series, 218, Cambridge: Cambridge Univ. Press, 1995, pp. 119–154.
Blanchard, Ph. and Volchenkov, D., Random Walks and Diffusions on Graphs and Databases: An Introduction, Springer Series in Synergetics, Berlin: Springer-Verlag, 2011.
Björner, A. and Lovasz, L., Chip-firing Game on Directed Graphs, J. Algebr. Combinatorics, 1992, no. 1, pp. 305–328.
Prisner, E., Parallel Chip Firing on Digraphs, Complex Syst., 1994, no. 8, pp. 367–383.
Ivashkevich, E.V. and Priezzhev, V.B., Introduction to the Sandpile Model, Physica A, 1998, vol. 254, pp. 97–116.
Speer, E.R., Asymmetric Abelian Sandpile Models, J. Statist. Phys., 1993, vol. 71, no. 1–2, pp. 61–74.
Bak, P., How Nature Works: The Science of Self-Organized Criticality, New York: Copernicus, 1996.
Bak, P., Tang, C., and Wiesenfeld, K., Self-organized Criticality, Phys. Rev. A, 1988, vol. 38, pp. 364–374.
Dhar, D., Self-organized Critical State of Sandpile Automaton Models, Phys. Rev. Lett., 1990, vol. 64, pp. 1613–1616.
Kemeny, J. and Snell, J., Finite Markov Chains, Princeton: Van Nostrand, 1960. Translated under the title Konechnye tsepi Markova, Moscow: Nauka, 1970.
Gantmacher, F.R., The Theory of Matrices, New York: Chelsea, 1959.
Seneta, E., Non-negative Matrices and Markov Chains, New York: Springer-Verlag, 2006.
Rothblum, U.G., Computation of the Eigenprojection of a Nonnegative Matrix at Its Spectral Radius, in Stochastic Systems: Modeling, Identification and Optimization II, Mathematical Programming Study Series, Wets, R.J.-B., Ed., 1976, vol. 6, pp. 188–201.
Agaev, R.P. and Chebotarev, P.Yu., On Determining the Eigenprojection and Components of a Matrix, Autom. Remote Control, 2002, vol. 63, no. 10, pp. 1537–1545.
Chebotarev, P.Yu. and Agaev, R.P., On the Asymptotics of Consensus Protocols, Upravlen. Bol’sh. Sist., 2013, no. 43, pp. 55–77.
Kuznetsov, A.V., Sakovich, V.A., and Kholod, N.N., Vysshaya matematika. Matematicheskoe programmirovanie (Higher Mathematics: Mathematical Programming), Minsk: Vysshaya Shkola, 1994.
Boyd, S. and Vandenberghe, L., Convex Optimization, Cambridge: Cambridge Univ. Press, 2004.
Lawson, Ch.L. and Hanson, R.L., Solving Least Squares Problems, Englewood Cliffs: Prentice-Hall, 1974.
Author information
Authors and Affiliations
Additional information
Original Russian Text © L.Yu. Zhilyakova, 2013, published in Problemy Upravleniya, 2013, No. 3, pp. 51–59.
Rights and permissions
About this article
Cite this article
Zhilyakova, L.Y. Control of limit states in absorbing resource networks. Autom Remote Control 75, 360–372 (2014). https://doi.org/10.1134/S0005117914020143
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0005117914020143