Input-to-state stabilization for nonlinear dual-rate sampled-data systems via approximate discrete-time model

Xi Liu, Horacio J. Marquez, Yanping Lin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

35 Citations (Scopus)


The problem of state feedback stabilization of nonlinear sampled-data systems is considered under the "low measurement rate" constraint. A dual-rate control scheme is proposed that utilizes a numerical integration scheme to approximately predict the current state. Given an approximate discrete-time model of a sampled nonlinear plant and given a family of controllers that stabilizes the plant model in input-to-state sense, we show that under some standard assumptions the closed loop dual-rate sampled data system is input-to-state stable in the semiglobal practical sense.
Original languageEnglish
Pages (from-to)3157-3161
Number of pages5
Issue number12
Publication statusPublished - 1 Dec 2008


  • Discrete-time
  • Dual-rate
  • Input-to-state stability
  • Nonlinear
  • Sampled-data

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this