Robust guaranteed cost control for a nonlinear neutral system with infinite delay

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    4 Citations (Scopus)

    Abstract

    The paper presents new results for the robust guaranteed cost control problem for a nonlinear neutral system having infinite delay with a given quadratic cost function. A delay dependent stability criterion, based on a model transformation technique, is proposed. A state feedback control law is then designed using the Razumikhin stability approach and the Lyapunov matrix equation to ensure not only the closed-loop systems robust stability but guarantee that the closed-loop cost function value remains within a specified bound. The problem of designing the optimal guaranteed cost controller is also given in terms of inequalities. An example illustrates the theoretical results.
    Original languageEnglish
    Title of host publication2015 European Control Conference (ECC)
    PublisherIEEE
    Pages1255 - 1260
    ISBN (Print)9781467371605
    DOIs
    Publication statusPublished - 2015
    Event2015 European Control Conference - Linz, Austria
    Duration: 15 Jul 201517 Jul 2015

    Conference

    Conference2015 European Control Conference
    Abbreviated titleECC
    Country/TerritoryAustria
    CityLinz
    Period15/07/1517/07/15

    Bibliographical note

    The full text is not available on the repository.

    Keywords

    • Lyapunov matrix equations
    • closed loop systems
    • control system synthesis
    • delays
    • nonlinear control systems
    • optimal control
    • robust control
    • state feedback
    • Lyapunov matrix equation
    • Razumikhin stability approach
    • closed-loop cost function value
    • delay dependent stability criterion
    • infinite delay
    • model transformation technique
    • nonlinear neutral system
    • optimal guaranteed cost controller design
    • quadratic cost function
    • robust guaranteed cost control
    • state feedback control law
    • Cost function
    • Delays
    • Linear matrix inequalities
    • Mathematical model
    • Robustness
    • Stability criteria

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