A stable hybrid adaptive algorithm with periodic sampling and gain adjustment

In this article a hybrid algorithm for model reference adaptive control of single-input single output systems is presented. The control structure involves a continuous time as well as a discrete time part, instead of being all discrete or all continuous as in previous approaches. The system is sampl...

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Bibliographic Details
Published in1982 21st IEEE Conference on Decision and Control pp. 276 - 280
Main Authors Cristi, R., Monopoli, R. V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.1982
Subjects
Adaptive algorithm
Adaptive control
Adaptive systems
Analog computers
Closed loop systems
Frequency
Polynomials
Programmable control
Sampling methods
Tellurium
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Summary:In this article a hybrid algorithm for model reference adaptive control of single-input single output systems is presented. The control structure involves a continuous time as well as a discrete time part, instead of being all discrete or all continuous as in previous approaches. The system is sampled periodically at a frequency F, and knowledge of bounds on the plant parameters enables us to determine a bound F* such that the closed loop system is stable whenever F > F*.
DOI:10.1109/CDC.1982.268444