ON THE MODEL REFERENCE ADAPTIVE CONTROL OF TIME-VARYING PLANTS.

Konstantinos Tsakalis, Petros A. Ioannou

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

1 Scopus citations

Abstract

The authors have studied the problem of developing an adaptive control law that can force the output of a linear time-varying plant to track the output of a linear time-varying reference model and at the same time guarantee the internal stability of the closed-loop plant. Use is made of the authors' recently proposed (1987) model reference controller structure, which guarantees stability and zero tracking error for a general class of linear time-varying plants with known parameters. An adaptive law is designed to estimate the controller parameters. It is shown that the assumption of slow parameter variations in the adaptive case can be relaxed if some information about the frequency or the form of the fast-varying parameters is available a priori. Such information can be incorporated in the adaptive law so that stability and tracking performance is considerably improved for a wide class of linear time-varying plants which includes plants with fast-varying parameters.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherIEEE
Pages354-359
Number of pages6
StatePublished - 1987
Externally publishedYes

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'ON THE MODEL REFERENCE ADAPTIVE CONTROL OF TIME-VARYING PLANTS.'. Together they form a unique fingerprint.

  • Cite this

    Tsakalis, K., & Ioannou, P. A. (1987). ON THE MODEL REFERENCE ADAPTIVE CONTROL OF TIME-VARYING PLANTS. In Proceedings of the IEEE Conference on Decision and Control (pp. 354-359). IEEE.