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Proceedings Paper

Stochastic tracking in nonlinear dynamical systems
Author(s): Ioana A. Triandaf; Ira B. Schwartz
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Paper Abstract

In a previous paper we have introduced a new continuation method which does not require an analytical model, but only an experimental time series. Using a predictor-corrector technique the method tracks an unstable orbit of a map, through different bifurcation regimes by varying an accessible system parameter. In this method the continuation parameter was varied deterministically. That is, the location of the parameter at each continuation step is chosen by the experimenter. In this paper we introduce a similar algorithm, but now the parameter is varied randomly. We will refer to this algorithm as random-walk control or stochastic tracking. This algorithm is useful to experimentalists for canceling the effect of drift in experiments, which is always inevitable at some level.

Paper Details

Date Published: 1 March 1994
PDF: 12 pages
Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); doi: 10.1117/12.167516
Show Author Affiliations
Ioana A. Triandaf, Naval Research Lab. (United States)
Ira B. Schwartz, Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 2037:
Chaos/Nonlinear Dynamics: Methods and Commercialization
Helena S. Wisniewski, Editor(s)

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