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IEEE Transactions on Automatic Control
Article . 1986 . Peer-reviewed
License: IEEE Copyright
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Stable discrete adaptive control with unknown high-frequency gain

Authors: Lee, Tong-Heng; Narendra, Kumpati S.;

Stable discrete adaptive control with unknown high-frequency gain

Abstract

This note presents a globally stable adaptive control algorithm applicable to discrete-time single-input single-output linear time- invariant systems. A priori knowledge of neither the sign of the system's high-frequency gain nor an upper-bound on its magnitude is needed to prove global stability. This last hypothesis is usually needed in other schemes. The authors first extend the approach of using Nussbaum gains to the discrete case, which then allows their use in the adaptation law. By introducing the idea of so-called switching curves, it is proved that signals can only grow with bounded increments which is a critical results in the proof of stability.

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Keywords

Model systems in control theory, global stability, Discrete-time control/observation systems, Stability of control systems, discrete-time single-input single-output linear time-invariant, Adaptive control/observation systems, Linear systems in control theory, systems, Nussbaum gains, adaptive control algorithm, discrete-time single-input single-output linear time-invariant systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Average
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