Input-to-state stabilization for nonlinear sampled-data systems via approximate discrete-time plant models

D. Nesic, Dina Shona Laila

    Research output: Contribution to conferencePaper

    Abstract

    We provide a framework for the design of L/sub /spl infin// stabilizing controllers via approximate discrete-time models for sampled-data nonlinear systems with disturbances. In particular, we present sufficient conditions that guarantee that a discrete-time controller that input-to-state stabilizes an approximate discrete-time model of a nonlinear continuous-time plant with disturbances would also input-to-state stabilize (in an appropriate sense) the exact discrete-time plant model.
    Original languageEnglish
    Pages887-892
    DOIs
    Publication statusPublished - 7 Aug 2002
    Event40th IEEE Conference on Decision and Control - Florida, Orlando, United States
    Duration: 4 Dec 20017 Dec 2001

    Conference

    Conference40th IEEE Conference on Decision and Control
    Country/TerritoryUnited States
    CityOrlando
    Period4/12/017/12/01

    Bibliographical note

    The full text is currently unavailable on the repository.

    Keywords

    • Nonlinear control systems
    • Sampling methods
    • Design engineering
    • Nonlinear systems
    • Ear
    • Control system synthesis
    • Differential equations
    • Australia Council
    • Sufficient conditions
    • discrete time systems
    • stability
    • sampled data systems
    • nonlinear control systems
    • control system synthesis
    • discrete-time controller
    • input-to-state stabilization
    • nonlinear sampled-data systems
    • approximate discrete-time plant models
    • L/sub /spl infin// stabilizing controllers
    • sufficient conditions

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