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

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
CountryUnited States
CityOrlando
Period4/12/017/12/01

Bibliographical note

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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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    Nesic, D., & Laila, D. S. (2002). Input-to-state stabilization for nonlinear sampled-data systems via approximate discrete-time plant models. 887-892. Paper presented at 40th IEEE Conference on Decision and Control, Orlando, United States. https://doi.org/10.1109/CDC.2001.980219