Dynamical synchronization of truth and model as an approach to data assimilation, parameter estimation, and model learning
KeywordsData Assimilation Travel Salesman Problem Potential Vorticity Lorenz System Chaos Synchronization
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- Daley, R. (1991) Atmospheric Data Analysis, Cambridge Univ. Press, Cambridge.Google Scholar
- Duane, G.S. (2003) Synchronized chaos in climate dynamics, in: In, V., Kocarev, L., Carroll, T.L. et al. (Eds.), AIP Conference Proceedings 676, Melville, New York, pp. 115-126.Google Scholar
- Duane, G.S., Tribbia, J.J., and Weiss, J.B. (2006) Synchronicity in predictive modelling: a new view of data assimilation. Nonlin. Processes in Geophys. 13, 601-612.Google Scholar
- Duane, G.S., Yu, D., and Kocarev, L. (2007) Identical synchronization, with translation invariance, implies parameter estimation. submitted to Phys. Lett. A.Google Scholar
- Hopfield, J.J. and Tank, D.W. (1985)“Neural” computation of decisions in optimization problems. Biol. Cybern. 52, 141-152.Google Scholar
- Huygens, C. (1673)Horoloqim Oscillatorium. Apud. F. Muget.Google Scholar
- Jung, C. G. and Pauli, W. (1955) The interpretation of nature and the psyche, Pantheon, New York.Google Scholar
- Strogatz, S. H. (2003) Sync: The Emerging Science of Spontaneous Order. Theia, New York.Google Scholar
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