Phil Howlett

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Peter PudneyProfessor of Industrial and Applied Mathematics, University of South AustraliaVerified email at unisa.edu.au
Amie AlbrechtProfessor, University of South AustraliaVerified email at unisa.edu.au
Xuan VuReseach FellowVerified email at unisa.edu.au
Julia PiantadosiVerified email at unisa.edu.au
John BolandProfessor of Environmental Mathematics, University of South AustraliaVerified email at unisa.edu.au
Charles E. M. PearceElder Chair of Mathematics, University of AdelaideVerified email at adelaide.edu.au
Peng ZhouResearch Fellow, University of South AustraliaVerified email at unisa.edu.au
Konstantin AvrachenkovDirector of Research, INRIA Sophia AntipolisVerified email at sophia.inria.fr
andrew metcalfeuniversity of adelaideVerified email at adelaide.edu.au
Jonathan (Jon) M. BorweinLaureate Professor University of NewcastleVerified email at newcastle.edu.au
Geetika VermaRMIT University, Melbourne, Australia.Verified email at rmit.edu.au
Jerzy FilarEmeritus Professor of Applied Mathematics, The University of QueenslandVerified email at uq.edu.au
Roslinazairimah ZakariaSenior lecturer of Applied Statistics, University Malaysia PahangVerified email at ump.edu.my
Rob GoverdeTechnische Universiteit DelftVerified email at tudelft.nl
Gerben ScheepmakerTU DelftVerified email at tudelft.nl
Hamid LagaMurdoch UniversityVerified email at murdoch.edu.au
John HenstridgeData Analysis australiaVerified email at daa.com.au
Moshe HavivThe Hebrew University of JerusalemVerified email at huji.ac.il
Vladimir EjovStrategic Associate Professor of Mathematics, Flinders University Verified email at flinders.edu.au
Dr Tanya TarnopolskayaResearch ScientistVerified email at csiro.au

Phil Howlett

Emeritus Professor of Industrial and Applied Mathematics, University of South Australia

Verified email at unisa.edu.au

Applied mathematics optimal control train control applied analysis linear operators


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Energy-Efficient Train Control PG Howlett, PJ Pudney Advances in Industrial Control, 306, 1995	510	1995
Local energy minimization in optimal train control PG Howlett, PJ Pudney, X Vu Automatica 45 (11), 2692-2698, 2009	453	2009
The optimal control of a train P Howlett Annals of Operations Research 98, 65-87, 2000	409	2000
Optimal strategies for the control of a train P Howlett Automatica 32 (4), 519-532, 1996	359	1996
The key principles of optimal train control—Part 1: Formulation of the model, strategies of optimal type, evolutionary lines, location of optimal switching points A Albrecht, P Howlett, P Pudney, X Vu, P Zhou Transportation Research Part B: Methodological 94, 482-508, 2015	313	2015
An optimal strategy for the control of a train P Howlett ANZIAM Journal (formerly J. Australian Math. Soc. Series B) 31, 454-471, 1990	230	1990
The key principles of optimal train control—Part 2: Existence of an optimal strategy, the local energy minimization principle, uniqueness, computational techniques A Albrecht, P Howlett, P Pudney, X Vu, P Zhou Transportation Research Part B: Methodological 94, 509-538, 2015	228	2015
Energy-efficient train control: from local convexity to global optimization and uniqueness AR Albrecht, PG Howlett, PJ Pudney, X Vu Automatica 49 (10), 3072-3078, 2013	220	2013
A note on the calculation of optimal strategies for the minimization of fuel consumption in the control of trains C Jiaxin, P Howlett IEEE Transactions on Automatic Control. 38 (11), 1730-1734, 1993	162	1993
Application of critical velocities to the minimisation of fuel consumption in the control of trains C Jiaxin, P Howlett Automatica 28 (1), 165-169, 1992	140	1992
Optimal driving strategies for a train on a track with continuously varying gradient PG Howlett, J Cheng ANZIAM Journal (formerly J of the Australian Math Soc Series B) 38 (3), 388-410, 1997	129	1997
Analytic Perturbation Theory and Its Applications KE Avrachenkov, JA Filar, PG Howlett. SIAM 135, 372, 2013	117	2013
Optimal driving strategies for a train journey with speed limits P Pudney, P Howlett ANZIAM Journal (formerly J of the Australian Math Soc Series B) 36 (1), 38-49, 1994	114	1994
The Mekong—applications of value at risk (VaR) and conditional value at risk (CVaR) simulation to the benefits, costs and consequences of water resources development in a … RB Webby, PT Adamson, J Boland, PG Howlett, AV Metcalfe, J Piantadosi Ecological Modelling 201 (1), 89-96, 2007	86	2007
Computational Methods for Modelling of Nonlinear Systems A Torokhti, P Howlett Elsevier 212, 397, 2008	69*	2008
Matching the grade correlation coefficient using a copula with maximum disorder J Piantadosi, PG Howlett, JW Boland Journal of Industrial and Management Optimization 3 (2), 305-312, 2007	65	2007
Inversion of analytic matrix functions that are singular at the origin KE Avrachenkov, M Haviv, PG Howlett SIAM Journal on Matrix Analysis and Applications 22 (4), 1175-1189, 2001	65*	2001
Generating synthetic rainfall on various timescales—daily, monthly and yearly J Piantadosi, J Boland, P Howlett Environmental Modeling & Assessment 14 (4), 431-438, 2009	58*	2009
Stochastic dynamic programming (SDP) with a conditional value-at-risk (CVaR) criterion for management of storm-water J Piantadosi, AV Metcalfe, PG Howlett Journal of Hydrology 348 (3-4), 320-329, 2008	54	2008
Energy-efficient train control: The two-train separation problem on level track AR Albrecht, PG Howlett, PJ Pudney, X Vu, P Zhou Journal of Rail Transport Planning & Management 5 (3), 163-182, 2015	52	2015

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