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Richard H. Middleton

Researcher at University of Newcastle

Publications -  396
Citations -  13068

Richard H. Middleton is an academic researcher from University of Newcastle. The author has contributed to research in topics: Control theory & Linear system. The author has an hindex of 48, co-authored 393 publications receiving 12037 citations. Previous affiliations of Richard H. Middleton include Hamilton Institute & University of California.

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Conditioning of LMS algorithms with fast sampling

TL;DR: It is demonstrated that generically, when fast sampling is employed, these regression vectors lead to poorly conditioned LMS, by comparison, delta operator based regression vectors lend with rapid sampling to improved condition numbers, hence, to better performance.
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Adaptive control for robot manipulators using discrete time identification

TL;DR: In this article, an adaptive control scheme for rigid link robots where the control signal computations are performed continuously and the control coefficient computations is performed in discrete time is proposed, and a global boundedness result is established for the resulting scheme, independent of the sampling rate.
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AGORA: The impact of high-stakes testing

TL;DR: In this article, a forum regrouping divers intervenants ayant le meme objectif : repondre a question concernant l'influence and l'impact des tests a enjeux sur l'enseignement, la formation de l'senseignant, la recherche educationnelle, la politique de l'education and les reformes eventuelles.
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A class of robust adaptive control algorithms

TL;DR: In this paper, it is argued that adaptive control algorithm can have essentially the same robustness properties to unmodelled dynamics as does a fixed robust control law, and the theory is illustrated by two representative situations namely a simple approach to multivariable adaptive control and the use of approximate models for time delay systems.
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The decay of stresses induced by flat rolling of metal strip

TL;DR: In this paper, the authors used a Laplace transform to simulate the velocity and stress distribution in a moving elastic strip of flat metal rolling and solved the problem using a semi-infinite problem.