Using An Evolutionary Denoising Approach To Improve The Robustness Of Chaotic Synchronization

dc.creatorSoriano D.C.
dc.creatorAbib G.A.
dc.creatorEisencraft M.
dc.creatorAttux R.
dc.creatorSuyama R.
dc.date2012
dc.date2015-06-29T13:23:37Z
dc.date2015-11-26T14:33:39Z
dc.date2015-06-29T13:23:37Z
dc.date2015-11-26T14:33:39Z
dc.date.accessioned2018-03-28T21:37:03Z
dc.date.available2018-03-28T21:37:03Z
dc.identifier9783902823021
dc.identifierIfac Proceedings Volumes (ifac-papersonline). , v. , n. , p. 35 - 39, 2012.
dc.identifier14746670
dc.identifier10.3182/20120620-3-MX-3012.00027
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84880987529&partnerID=40&md5=edcfe2f59ddb284568e177112bfcd01b
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/97532
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/97532
dc.identifier2-s2.0-84880987529
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1247911
dc.descriptionChaotic synchronization in master-slave networks has been extensively studied in the last years, with a relevant impact in application domains like communication systems and the modeling of neuronal and other biomedical signals and systems. Many recent papers have shown that chaotic synchronization is easily lost when there is additive noise in the link between master and slave. This lack of robustness can simply derail the use of chaos-based communication systems in non-ideal environments. In the present work we employ a bio-inspired optimization technique to increase the signal-to-noise-ratio of the chaotic signal that arrives in the slave node of a master-slave discrete-time network and we show that this technique can improve the robustness of the chaotic synchronization to noise. © 2012 IFAC.
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dc.description
dc.description35
dc.description39
dc.descriptionAsociacion de Mexico de Control Automatico (AMCA),IFAC TC Adaptive and Learning Systems,Division de Matematicas Aplicadas at IPICyT (DMAp-IPICYT)
dc.descriptionAgarwal, R.P., (1992) Difference Equations and Inequalities: Theory, Methods, and Applications, , M. Dekker, New York
dc.descriptionBaptista, M.S., Macau, E.E., Grebogi, C., Lai, Y.C., Rosa, E., Integrated chaotic communication scheme (2000) Phys. Rev. E, 62 (4), pp. 4835-4845. , doi: 10.1103/PhysRevE.62.4835
dc.descriptionCarroll, T., Pecora, L., Synchronizing chaotic circuits (1991) Circuits and Systems, 38 (4), pp. 453-456. , IEEE Transactions on doi:10.1109/31.75404
dc.descriptionDe Castro, L.N., (2006) Fundamentals of Natural Computing, , Chapman & Hall
dc.descriptionDe Castro, L.N., Zuben, F.J.V., Learning and optimization using the clonal selection principle (2002) IEEE Transactions on Evolutionary Computation, 6, pp. 239-251
dc.descriptionDe Castro, L., Timmis, J., (2002) Artificial Immune Systems: A New Computational Intelligence Approach, , Springer Verlag
dc.descriptionEisencraft, M., Batista, A., Discrete-time chaotic systems synchronization performance under additive noise (2011) Signal Processing, 91 (8), pp. 2127-2131. , doi: 10.1016/j.sigpro.2011.01.021
dc.descriptionEisencraft, M., Fanganiello, R., Baccala, L., Synchronization of discrete-time chaotic systems in bandlimited channels (2009) Mathematical Problems in Engineering, 2009. , doi:10.1155/2009/207971
dc.descriptionEisencraft, M., Fanganiello, R., Grzybowski, J., Soriano, D., Attux, R., Batista, A., Macau, E., Yoneyama, T., Chaos-based communication systems in non-ideal channels (2011) Communications in Nonlinear Science and Numerical Simulation, , doi:10.1016/j.cnsns.2011.05.030
dc.descriptionFaure, P., Korn, H., Is there chaos in the brain? I. Concepts of nonlinear dynamics and methods of investigation (2001) Comptes Rendus de L Academie des Sciences Serie Iii-Sciences de la Vie-Life Sciences, 324 (9), pp. 773-793. , doi:10.1016/S0764-4469(01)01377-4
dc.descriptionGao, F., Lee, J.J., Li, Z., Tong, H., Lü, X., Parameter estimation for chaotic system with initial random noises by particle swarm optimization (2009) Chaos, Solitons and Fractals, 42, pp. 1286-1291
dc.descriptionGrzybowski, J., Eisencraft, M., Macau, E., Chaos-based communication systems: Current trends and challenges (2011) Applications of Chaos and Nonlinear Dynamics in Engineering, 1, pp. 203-230. , S. Banerjee, M. Mitra, and L. Rondoni (eds.) Volume 71 of Understanding Complex Systems Springer
dc.descriptionHénon, M., A two-dimensional mapping with a strange attractor (1976) Comm. Math. Phys., 50 (1), pp. 69-77
dc.descriptionKoh, C.L., Ushio, T., Digital communication method based on m-synchronized chaotic systems (1997) Circuits and Systems I: Fundamental Theory and Applications, 44 (5), pp. 383-390. , IEEE Transactions on doi: 10.1109/81.572334
dc.descriptionPecora, L.M., Carroll, T.L., Synchronization in chaotic systems (1990) Phys. Rev. Lett., 64 (8), pp. 821-824. , doi:10.1103/PhysRevLett.64.821
dc.descriptionPecora, L.M., Carroll, T.L., Driving systems with chaotic signals (1991) Phys. Rev. A, 44 (4), pp. 2374-2383. , doi:10.1103/PhysRevA.44.2374
dc.descriptionQi, G.X., Huang, H.B., Chen, L., Wang, H.J., Shen, C.K., Fast synchronization in neuronal networks (2008) EPL, 82 (3). , doi:10.1209/0295-5075/82/38003
dc.descriptionRulkov, N.F., Tsimring, L.S., Synchronization methods for communication with chaos over band-limited channels (1999) International Journal of Circuit Theory and Applications, 27, pp. 555-567
dc.descriptionSoriano, D., Attux, R., Romano, J., Loiola, M., Suyama, R., Denoising chaotic time series using an evolutionary state estimation approach (2011) Computational Intelligence in Control and Automation (CICA), pp. 116-122. , 2011 IEEE Symposium on doi: 10.1109/CICA.2011.5945756
dc.descriptionStrogatz, S., (2004) Sync: How Order Emerges from Chaos in the Universe, Nature, and Daily Life, , Hyperion Books
dc.descriptionTang, G., Xu, K., Jiang, L., Synchronization in a chaotic neural network with time delay depending on the spatial distance between neurons (2011) Physical Review E, 84 (4 PART 2). , doi:10.1103/PhysRevE.84.046207
dc.descriptionTôrres, L.A., Discrete-time dynamic systems synchronization: Information transmission and model matching (2007) Physica D: Nonlinear Phenomena, 228 (1), pp. 31-39. , doi:10.1016/j.physd.2007.02.002
dc.descriptionWilliams, C., Chaotic communications over radio channels (2001) Circuits and Systems I: Fundamental Theory and Applications, 48 (12), pp. 1394-1404. , IEEE Transactions on doi:10.1109/TCSI.2001.972846
dc.descriptionWu, C.W., Chua, L.O., A simple way to synchronize chaotic systems with applications to secure communication systems (1993) International Journal of Bifurcation and Chaos, 3 (6), pp. 1619-1627
dc.descriptionZelinka, I., Celinkovsky, S., Richter, H., Chen, G., (2010) Evolutionary Algorithms and Chaotic Systems, , Springer
dc.languageen
dc.publisher
dc.relationIFAC Proceedings Volumes (IFAC-PapersOnline)
dc.rightsfechado
dc.sourceScopus
dc.titleUsing An Evolutionary Denoising Approach To Improve The Robustness Of Chaotic Synchronization
dc.typeActas de congresos


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