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Receding horizon control applied to optimal mine planning

Authors:

Graham C. Goodwin,

María M. Seron,

Richard H. Middleton,

Bryan F. Hennessy,

Peter M. Stone,

Merab MenabdeAuthors Info & Claims

Automatica (Journal of IFAC), Volume 42, Issue 8

Pages 1337 - 1342

https://doi.org/10.1016/j.automatica.2006.01.016

Published: 01 August 2006 Publication History

Abstract

In this paper we show that the problem of optimal mine planning can be cast in the framework of receding horizon control. Traditional formulations of this problem have cast it in the framework of mixed integer linear programming. In this paper, we present an alternative formulation of the mine planning problem using the ''language'' of control engineering. We show that this alternative formulation gives rise to new insights which have the potential to lead to improved computational procedures. The advantages are illustrated by an example incorporating many practical features of an actual mine planning problem.

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Cited By

Prodan IOlaru SStoica CNiculescu S(2018)Predictive control for trajectory tracking and decentralized navigation of multi-agent formationsInternational Journal of Applied Mathematics and Computer Science10.2478/amcs-2013-000823:1(91-102)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.2478/amcs-2013-0008

Receding horizon control applied to optimal mine planning
1. Theory of computation
  1. Design and analysis of algorithms

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Information & Contributors

Information

Published In

cover image Automatica (Journal of IFAC)

Automatica (Journal of IFAC) Volume 42, Issue 8

August, 2006

182 pages

ISSN:0005-1098

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Copyright © Elsevier Ltd © 2006.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 August 2006

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Cited By

Prodan IOlaru SStoica CNiculescu S(2018)Predictive control for trajectory tracking and decentralized navigation of multi-agent formationsInternational Journal of Applied Mathematics and Computer Science10.2478/amcs-2013-000823:1(91-102)Online publication date: 15-Dec-2018
https://dl.acm.org/doi/10.2478/amcs-2013-0008

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