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Autoregressive self-tuning feedback control of the Hénon map

Michael E. Brandt, Ahmet Ademoǧlu, Dejian Lai, Guanrong Chen

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

Abstract

This paper describes a method based on self-feedback for controlling both chaotic and nonchaotic forms of the Henon map with and without additive Gaussian white noise. We describe a nonlinear self-tuning controller that makes use of a feedback reference signal and a linear autoregressive formulation for the gain. This controller is effective at stabilizing the map to a variety of fixed point or period-two orbits. We contrast our approach with the method of Ott, Grebogi, and Yorke [Phys. Rev. Lett. 64, 1196 (1990)] which has been used to control some chaotic processes and recently, some nonchaotic, stochastic ones.
Original languageEnglish
Pages (from-to)6201-6213
JournalPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Volume54
Issue number6
DOIs
Publication statusPublished - 1996
Externally publishedYes

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