State-dependent scaling design for a unified approach to robust backstepping

H. Ito*, Randy A Freeman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Global robust stabilization is considered for a class of uncertain nonlinear systems and new systematic tool for robust backstepping is developed. By choosing state-dependent scaling functions in each step of the recursive design, one can construct robust control laws for an extended class of strict feedback systems. The scaling approach to robust backstepping treats both static and dynamic uncertainty in an unified way. The method is amenable to automatic computation based on numerical optimization, and for instance, one can thus introduce performance objectives such as instantaneous control effort minimization into the design.

Original languageEnglish (US)
Pages (from-to)843-855
Number of pages13
JournalAutomatica
Volume37
Issue number6
DOIs
StatePublished - Jun 1 2001

Keywords

  • Global stability
  • Matrix inequality
  • Nonlinear systems
  • Numerical computation
  • Robust backstepping
  • Robust control
  • State-dependent scaling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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