Adaptive weighted minimum prediction uncertainty control

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The adaptive control design problem for a discrete time system with structured parametric uncertainty, that minimizes its weighted predicted output uncertainty is addressed in this article. A measure of the system uncertainty is quantified through the application of the set-membership (SM) identification scheme. The SM-estimator identifies a parallepiped within which the system parameter vector is located. For a given future input sequence, this parameter uncertainty induces an uncertainty in the predicted system output. The control objective is to derive the input sequence that minimizes the predicted output uncertainty while tracking a reference input. Simulation studies are presented to highlight the features of the proposed control scheme.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages1947-1951
Number of pages5
StatePublished - 1996
EventProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn
Duration: Dec 11 1996Dec 13 1996

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2
ISSN (Print)0191-2216

Other

OtherProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
CityKobe, Jpn
Period12/11/9612/13/96

ASJC Scopus subject areas

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

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  • Cite this

    Tzes, A., & Le, K. (1996). Adaptive weighted minimum prediction uncertainty control. In Anon (Ed.), Proceedings of the IEEE Conference on Decision and Control (pp. 1947-1951). (Proceedings of the IEEE Conference on Decision and Control; Vol. 2).