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    Rights statement: Copyright 2004 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.547414

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Modeling and controlling of stochastic dynamics of complex nonlinear systems

Research output: Contribution to Journal/Magazine › Journal article

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Modeling and controlling of stochastic dynamics of complex nonlinear systems. / Luchinsky, Dmitry G.; McClintock, Peter V. E.; Silchenko, Alexandr N. et al.
In: Proceedings of SPIE, Vol. 5471, 2004, p. 145-158.

Research output: Contribution to Journal/Magazine › Journal article

Harvard

Luchinsky, DG, McClintock, PVE, Silchenko, AN, Smelyanskiy, VN & Dykman, M 2004, 'Modeling and controlling of stochastic dynamics of complex nonlinear systems', Proceedings of SPIE, vol. 5471, pp. 145-158. https://doi.org/10.1117/12.547414

APA

Luchinsky, D. G., McClintock, P. V. E., Silchenko, A. N., Smelyanskiy, V. N., & Dykman, M. (2004). Modeling and controlling of stochastic dynamics of complex nonlinear systems. Proceedings of SPIE, 5471, 145-158. https://doi.org/10.1117/12.547414

Vancouver

Luchinsky DG, McClintock PVE, Silchenko AN, Smelyanskiy VN, Dykman M. Modeling and controlling of stochastic dynamics of complex nonlinear systems. Proceedings of SPIE. 2004;5471:145-158. doi: 10.1117/12.547414

Author

Luchinsky, Dmitry G. ; McClintock, Peter V. E. ; Silchenko, Alexandr N. et al. / Modeling and controlling of stochastic dynamics of complex nonlinear systems. In: Proceedings of SPIE. 2004 ; Vol. 5471. pp. 145-158.

Bibtex

@article{6b9f2ee0b27a479d84814dac68c6520d,
title = "Modeling and controlling of stochastic dynamics of complex nonlinear systems",
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.",
author = "Luchinsky, {Dmitry G.} and McClintock, {Peter V. E.} and Silchenko, {Alexandr N.} and Smelyanskiy, {Vadim N.} and Mark Dykman",
note = "Copyright 2004 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.547414",
year = "2004",
doi = "10.1117/12.547414",
language = "English",
volume = "5471",
pages = "145--158",
journal = "Proceedings of SPIE",
issn = "0277-786X",
publisher = "SPIE",

}

RIS

TY - JOUR

T1 - Modeling and controlling of stochastic dynamics of complex nonlinear systems

AU - Luchinsky, Dmitry G.

AU - McClintock, Peter V. E.

AU - Silchenko, Alexandr N.

AU - Smelyanskiy, Vadim N.

AU - Dykman, Mark

N1 - Copyright 2004 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.547414

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

U2 - 10.1117/12.547414

DO - 10.1117/12.547414

M3 - Journal article

VL - 5471

SP - 145

EP - 158

JO - Proceedings of SPIE

JF - Proceedings of SPIE

SN - 0277-786X

ER -