Control of Observable Chaotic Dynamical Systems using Nonlinear Approximations

Des Hill

doi:10.1142/S0218127403008430

Control of Observable Chaotic Dynamical Systems using Nonlinear Approximations

Des Hill

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

A technique of using nonlinear approximations to control chaotic dynamical systems is extended so it can be used to control such systems when only data generated can be observed.

Original language	English
Pages (from-to)	3053-3062
Journal	International Journal of Bifurcation and Chaos
Volume	13
Issue number	10
DOIs	https://doi.org/10.1142/S0218127403008430
Publication status	Published - 2003

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title = "Control of Observable Chaotic Dynamical Systems using Nonlinear Approximations",

abstract = "A technique of using nonlinear approximations to control chaotic dynamical systems is extended so it can be used to control such systems when only data generated can be observed.",

author = "Des Hill",

year = "2003",

doi = "10.1142/S0218127403008430",

language = "English",

volume = "13",

pages = "3053--3062",

journal = "International Journal of Bifurcation and Chaos",

issn = "0218-1274",

publisher = "World Scientific Publishing",

number = "10",

}

TY - JOUR

T1 - Control of Observable Chaotic Dynamical Systems using Nonlinear Approximations

AU - Hill, Des

PY - 2003

Y1 - 2003

N2 - A technique of using nonlinear approximations to control chaotic dynamical systems is extended so it can be used to control such systems when only data generated can be observed.

AB - A technique of using nonlinear approximations to control chaotic dynamical systems is extended so it can be used to control such systems when only data generated can be observed.

U2 - 10.1142/S0218127403008430

DO - 10.1142/S0218127403008430

M3 - Article

SN - 0218-1274

VL - 13

SP - 3053

EP - 3062

JO - International Journal of Bifurcation and Chaos

JF - International Journal of Bifurcation and Chaos

IS - 10

ER -

Control of Observable Chaotic Dynamical Systems using Nonlinear Approximations

Abstract

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