Dynamic scaling based global output feedback for systems with input uncertainties via a singular perturbation redesign

P. Krishnamurthy, F. Khorrami

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

Abstract

A general class of uncertain nonlinear systems with time-varying and uncertain state and input delays is considered. The system structure includes a core nominal system of triangular structure along with uncertain appended dynamics driven by the entire state of the system. The control input is allowed to enter non-affinely into the system dynamics as well as to have uncertainties coupled with it. The control design is based on dual controller/observer dynamic high-gain scaling with an additional dynamic scaling based on a singular-perturbation-like redesign to address the non-affine and uncertain nature of the input appearance into the system dynamics. The proposed approach yields a delay-independent robust adaptive output-feedback control design. The only information about the time delays that is required in the control implementation is a bound on the rate of variation of time delays.

Original languageEnglish (US)
Title of host publication2010 49th IEEE Conference on Decision and Control, CDC 2010
Pages2310-2315
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event2010 49th IEEE Conference on Decision and Control, CDC 2010 - Atlanta, GA, United States
Duration: Dec 15 2010Dec 17 2010

Publication series

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

Other

Other2010 49th IEEE Conference on Decision and Control, CDC 2010
CountryUnited States
CityAtlanta, GA
Period12/15/1012/17/10

    Fingerprint

ASJC Scopus subject areas

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

Cite this

Krishnamurthy, P., & Khorrami, F. (2010). Dynamic scaling based global output feedback for systems with input uncertainties via a singular perturbation redesign. In 2010 49th IEEE Conference on Decision and Control, CDC 2010 (pp. 2310-2315). [5718188] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2010.5718188