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Adaptive Search with Chaos in Nonlinear-Optical Systems

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Abstract

Simulations of nonlinear optical systems with adaptive control have shown the potential usefulness of chaos for search among attractors. We present examples of two types of adaptive search using chaos. In the first example, adaptive feedback to an excitation parameter in a nonlinear optical resonator is used to control bifurcation between a regime where a set of modes is stable and a regime where there are chaotic transitions between the modes. The second example is a model of a network in which adaptive feedback to a network connection matrix allows formation of new attractors corresponding to “good” patterns discovered in chaos.

© 1991 Optical Society of America

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