Identifying and comparing states of time-delayed systems: Phase diagrams and applications to human motor control systems

T.D. Frank, R. Friedrich, P.J. Beek

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    A data driven characterization of time-delayed stochastic systems is proposed in terms of linear delay differential equations and two drift parameters. It is shown how these parameters determine the states of such systems with respect to generalized phase diagrams. This approach allows for a comparison of systems with different parameters as exemplified for two motor control tasks: tracking and force production. © 2005 Elsevier B.V. All rights reserved.
    Original languageEnglish
    Pages (from-to)74-80
    JournalPhysics Letters A
    Volume338
    DOIs
    Publication statusPublished - 2005

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