activity
20182021
most citedDynamic Programming for Optimal Delivery Time Slot Pricing

5 citations · 13 across the 9 of their papers we have counts for

collaborators

16 papers

eess.SY2021

Model Predictive Control for Electron Beam Stabilization in a Synchrotron

Idris Kempf, Paul J. Goulart, Stephen R. Duncan

Electron beam stabilization in a synchrotron is a disturbance rejection problem, with hundreds of inputs and outputs, that is sampled at frequencies higher than kHz. In this f…

eess.SY2020

Multi-Array Electron Beam Stabilization using Block-Circulant Transformation and Generalized Singular Value Decomposition

Idris Kempf, Stephen R. Duncan, Paul J. Goulart +1

We introduce a novel structured controller design for the electron beam stabilization problem of the UK's national synchrotron light source. Because changes to the synchrotron will…

physics.acc-ph2020

Symmetry Exploitation in Orbit Feedback Systems of Synchrotron Storage Rings

Idris Kempf, Paul J. Goulart, Stephen R. Duncan +1

Structural symmetries in the storage ring of synchrotrons are intentionally created during the design phase of the magnetic lattices, but they are not considered in the design of c…

math.OC20205 cited

Approximate Dynamic Programming for Delivery Time Slot Pricing: a Sensitivity Analysis

Denis Lebedev, Kostas Margellos, Paul Goulart

We consider the revenue management problem of finding profit-maximising prices for delivery time slots in the context of attended home delivery. This multi-stage optimal control pr…

math.OC2020

Gradient-Bounded Dynamic Programming for Submodular and Concave Extensible Value Functions with Probabilistic Performance Guarantees

Denis Lebedev, Paul Goulart, Kostas Margellos

We consider stochastic dynamic programming problems with high-dimensional, discrete state-spaces and finite, discrete-time horizons that prohibit direct computation of the value fu…

math.OC2020

Gradient-Bounded Dynamic Programming with Submodular and Concave Extensible Value Functions

Denis Lebedev, Paul Goulart, Kostas Margellos

We consider dynamic programming problems with finite, discrete-time horizons and prohibitively high-dimensional, discrete state-spaces for direct computation of the value function…