2018
DOI: 10.1016/j.cnsns.2017.08.016
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Numerical test for hyperbolicity in chaotic systems with multiple time delays

Abstract: We develop an extension of the fast method of angles for hyperbolicity verification in chaotic systems with an arbitrary number of time-delay feedback loops. The adopted method is based on the theory of covariant Lyapunov vectors and provides an efficient algorithm applicable for systems with high-dimensional phase space. Three particular examples of time-delay systems are analyzed and in all cases the expected hyperbolicity is confirmed.

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Cited by 12 publications
(4 citation statements)
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“…For example in Refs. [19,20] a special form of the inner product is introduced for analysis of hyperbolicity of chaos in time delay systems. In our analysis however, it is enough to consider the simplest standard dot product.…”
Section: Covariant Lyapunov Vectors and Angles Between Tangent Subspacesmentioning
confidence: 99%
See 1 more Smart Citation
“…For example in Refs. [19,20] a special form of the inner product is introduced for analysis of hyperbolicity of chaos in time delay systems. In our analysis however, it is enough to consider the simplest standard dot product.…”
Section: Covariant Lyapunov Vectors and Angles Between Tangent Subspacesmentioning
confidence: 99%
“…Notice that the action of the adjoint propagator as well as the action of the inverted one corresponds to steps backward in time [22]. The form of the adjoint propagator depends on the chosen inner product [19,20], and the standard dot product produces its simplest version: the adjoint propagator is obtained from the original one simply by transposition as F T (t 1 , t 2 ). The steps are performed again with K vectors that are QR-decomposed after each action of the propagator F T (t 1 , t 2 ):…”
Section: Covariant Lyapunov Vectors and Angles Between Tangent Subspacesmentioning
confidence: 99%
“…The fast method of computation of the angles is developed in papers [36,40], and its implementation for time delay systems can be found in Refs. [34,35].…”
Section: The System and Methods Of Analysismentioning
confidence: 99%
“…In the case of high-dimensional systems, to identify a contracting subspace it is more convenient to use not vectors belonging to it, but vectors defining its orthogonal complement, whose dimension is usually small [32]. The latter are obtained from solution of the adjoint system of linearized equations in variations [32,33,34,35].…”
Section: Angles Between Subspaces Of Perturbation Vectorsmentioning
confidence: 99%