Robust control of nonlinear strict-feedback systems with measurement errors

Tengfei Liu, Zhong Ping Jiang, David J. Hill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a new method for robust control of a class of uncertain nonlinear systems in strict-feedback form with state measurement errors. The measurement feedback control problem is solved by recursively designing input-to-state stability (ISS) induced nonlinear state estimators and virtual control laws. With the gain assignment technique, the closed-loop system can be transformed into an interconnection of ISS subsystems, the ISS and input-to-output stability (IOS) of which can be guaranteed by the cyclic-small-gain theorem. Moreover, the IOS gain from the measurement error of the system output (the first state) to the system output can be designed to be linear and arbitrarily close to the identity function.

Original languageEnglish (US)
Title of host publication2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Pages2034-2039
Number of pages6
DOIs
StatePublished - 2011
Event2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States
Duration: Dec 12 2011Dec 15 2011

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Country/TerritoryUnited States
CityOrlando, FL
Period12/12/1112/15/11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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