Modeling and controlling of stochastic dynamics of complex nonlinear systems

Dmitry G. Luchinsky; Peter V. E. McClintock; Alexandr N. Silchenko; Vadim N. Smelyanskiy; Mark I. Dykman

doi:10.1117/12.547414

25 May 2004 Modeling and controlling of stochastic dynamics of complex nonlinear systems

Dmitry G. Luchinsky, Peter V. E. McClintock, Alexandr N. Silchenko, Vadim N. Smelyanskiy, Mark I. Dykman

Proceedings Volume 5471, Noise in Complex Systems and Stochastic Dynamics II; (2004) https://doi.org/10.1117/12.547414
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain

Abstract

An application of the path-integral approach to an analysis of the fluctuations in complex dynamical systems is discussed. It is shown that essentially the same ideas underly recent progress in the solutions of a number of long-standing problems in complex dynamics. In particular, we consider the problems of prediction, control and inference of chaotic dynamics perturbed by noise in the framework of path-integral approach.

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Dmitry G. Luchinsky, Peter V. E. McClintock, Alexandr N. Silchenko, Vadim N. Smelyanskiy, and Mark I. Dykman "Modeling and controlling of stochastic dynamics of complex nonlinear systems", Proc. SPIE 5471, Noise in Complex Systems and Stochastic Dynamics II, (25 May 2004); https://doi.org/10.1117/12.547414

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