Výsledky vyhledávání - "P.S. Bowling"

The LANSCE data acquisition system and SMARTS

Autor: G.M. Cooper, M.A.M. Bourke, J.R. Seal, P.S. Bowling, R. O. Nelson, B.C. Williams, T. Kozlowski, C.R. Rose, J. J. Ross, P.D. Lara

Publikováno v: IEEE Transactions on Nuclear Science. 47:75-79

To meet the data acquisition requirements for five new neutron scattering instruments at the Los Alamos Neutron Science Center (LANSCE), we are building new systems using Web tools, commercial hardware and software, software developed by the controls

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae7c7db90ef0f58aad886a275be27dba
https://doi.org/10.1109/23.846121

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Adaptive optimization and control using neural networks

Autor: W.C. Mead, P.S. Bowling, C.W. Barnes, Roger Jones, S.K. Brown

Publikováno v: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 352:309-315

Recent work has demonstrated the ability of neural-network-based controllers to optimize and control machines with complex, non-linear, relatively unknown control spaces. We present a brief overview of neural networks via a taxonomy illustrating some

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4997f85532e66201843a1301042f904a
https://doi.org/10.1016/0168-9002(94)91530-x

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Optimization and control of a small angle ion source using an adaptive neural network controller (invited)

Autor: S.K. Brown, P.S. Bowling, Cris W. Barnes, Roger Jones, W. C. Mead

Publikováno v: Review of Scientific Instruments. 65:1411-1415

This project developed an automated controller based on an artificial neural network and evaluated its applicability in a real‐time environment. This capability was developed within the context of a small angle negative ion source on the Discharge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83be91b1e0efc61771cb43e7e20c3f8b
https://doi.org/10.1063/1.1144978

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Optimization and control of a small-angle negative ion source using an on-line adaptive controller based on the connectionist normalized local spline neural network

Autor: H.E. Gibson, J.R. Goulding, P.S. Bowling, Y.C. Lee, Cris W. Barnes, Roger Jones, W.C. Mead, S.K. Brown

Publikováno v: Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms. 72:271-289

We have developed CTL, an on-line adaptive controller, to optimize and control a repetitively pulsed, small-angle negative ion source. CTL processes multiple diagnostics to determine the ion source operating conditions. A figure of merit is construct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4cd8864672c0f19e2460c2228678725a
https://doi.org/10.1016/0168-583x(92)95243-k

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