ON A QUANTITATIVE THEORY OF ROBUST ADAPTIVE-CONTROL - AN INTERVAL PLANT APPROACH
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This paper considers a robust direct model reference adaptive control scheme where the components of the estimated controller parameter vector are constrained to vary in certain pre-specified intervals. This interval constraint facilitates the quantitative analysis of the robustness of the closed loop adaptive control system. Extending existing results from the area of robust parametric stability, a tractable procedure is developed for verifying a condition which guarantees the boundedness of all the closed loop signals. The robustness verification using this procedure involves calculating the worst case 'shifted' Hnorms over certain one-parameter families. This makes the condition easily verifiable whereas otherwise, one is faced with the formidable task of determining the worst case norms over higher dimensional compact convex sets in the plant and controller parameter spaces.
name of conference
Proceedings of 1994 American Control Conference - ACC '94
PROCEEDINGS OF THE 1994 AMERICAN CONTROL CONFERENCE, VOLS 1-3
author list (cited authors)
DATTA, A., & BHATTACHARYYA, S. P.
complete list of authors
DATTA, A||BHATTACHARYYA, SP