Further results on approximation of the optimal threshold values for manufacturing systems

G. Yin; H. M. Yan

doi:10.1109/CDC.1994.411217

Further results on approximation of the optimal threshold values for manufacturing systems

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

Abstract

Numerical algorithms are developed for approximating the optimal threshold values of manufacturing systems. Gradient estimates of the objective function are constructed with respect to the threshold values, and stochastic recursive algorithms are used for locating the optimal value.

Original language	English
Pages (from-to)	1588-1589
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	2
DOIs	https://doi.org/10.1109/CDC.1994.411217
Publication status	Published - 1994
Externally published	Yes
Event	33rd IEEE Conference on Decision and Control, CDC 1994 - Lake Buena Vista, United States Duration: 14 Dec 1994 → 16 Dec 1994 http://www-control.eng.cam.ac.uk/extras/conferences/CDC94.html

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1109/CDC.1994.411217

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title = "Further results on approximation of the optimal threshold values for manufacturing systems",

abstract = "Numerical algorithms are developed for approximating the optimal threshold values of manufacturing systems. Gradient estimates of the objective function are constructed with respect to the threshold values, and stochastic recursive algorithms are used for locating the optimal value.",

author = "G. Yin and Yan, {H. M.}",

year = "1994",

doi = "10.1109/CDC.1994.411217",

language = "English",

volume = "2",

pages = "1588--1589",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "IEEE",

note = "33rd IEEE Conference on Decision and Control, CDC 1994, CDC 1994 ; Conference date: 14-12-1994 Through 16-12-1994",

url = "http://www-control.eng.cam.ac.uk/extras/conferences/CDC94.html",

}

TY - JOUR

T1 - Further results on approximation of the optimal threshold values for manufacturing systems

AU - Yin, G.

AU - Yan, H. M.

PY - 1994

Y1 - 1994

N2 - Numerical algorithms are developed for approximating the optimal threshold values of manufacturing systems. Gradient estimates of the objective function are constructed with respect to the threshold values, and stochastic recursive algorithms are used for locating the optimal value.

AB - Numerical algorithms are developed for approximating the optimal threshold values of manufacturing systems. Gradient estimates of the objective function are constructed with respect to the threshold values, and stochastic recursive algorithms are used for locating the optimal value.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0028748141&origin=recordpage

U2 - 10.1109/CDC.1994.411217

DO - 10.1109/CDC.1994.411217

M3 - RGC 22 - Publication in policy or professional journal

SN - 0191-2216

VL - 2

SP - 1588

EP - 1589

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - 33rd IEEE Conference on Decision and Control, CDC 1994

Y2 - 14 December 1994 through 16 December 1994

ER -

Further results on approximation of the optimal threshold values for manufacturing systems

Abstract

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