Averaging analysis of adaptive control algorithms

Stephen Phillips, Robert L. Kosut, Gene F. Franklin

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

Abstract

The method of averaging is used to analyze discrete-time indirect adaptive control. The analysis focuses on various prediction-error-driven identification algorithms coupled with a general linear control law. The plant is not required to be in the model set of the identifier, which accounts for systems with unmodeled plant dynamics. Exogenous input signals including known command signals and unknown disturbances are also included. Both gradient and Newton-based algorithms are considered.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherPubl by IEEE
Pages1964-1965
Number of pages2
StatePublished - 1988
Externally publishedYes
EventProceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA
Duration: Dec 7 1988Dec 9 1988

Other

OtherProceedings of the 27th IEEE Conference on Decision and Control
CityAustin, TX, USA
Period12/7/8812/9/88

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Phillips, S., Kosut, R. L., & Franklin, G. F. (1988). Averaging analysis of adaptive control algorithms. In Proceedings of the IEEE Conference on Decision and Control (pp. 1964-1965). Publ by IEEE.