Froese, Vincent Jain, Brijnesh Rymar, Maciej Weller, Mathias

Dynamic Time Warping (DTW) is a well-known similarity measure for time series. The standard dynamic programming approach to compute the DTW distance of two length-n time series, however, requires O(n 2) time, which is often too slow for real-world applications. Therefore, many heuristics have been proposed to speed up the DTW computation. These are...

Akbalik, Ayse

Panigrahy, Nitish Basu, Prithwish Nain, Philippe Towsley, Don Swami, Ananthram Chan, Kevin Leung, Kin

We consider assignment policies that allocate resources to users, where both resources and users are located on a one-dimensional line [0, ∞). First, we consider unidirectional assignment policies that allocate resources only to users located to their left. We propose the Move to Right (MTR) policy, which scans from left to right assigning nearest ...

Pagès, Gilles Pironneau, Olivier

In this article the authors wish to contribute to the evaluation of statistical learning for stochastic control. We will review the well known methods for stochastic control and compare their numerical performance to those of a neural network. This will be done on a simple but practical example arising for fishing quotas to preserve the biomass of ...

Benhamiche, Amal Chopin, Morgan

In this paper, we consider the Delay Constrained Unsplittable Shortest Path Routing problem which arises in the field of traffic engineering for IP networks. This problem consists, given a directed graph and a set of commodities, to compute a set of routing paths and the associated administrative weights such that each commodity is routed along the...

Avranas, Apostolos

The new generation of wireless systems 5G aims not only to convincingly exceed its predecessor (LTE) data rate but to work with more dimensions. For instance, more user classes were introduced associated with different available operating points on the trade-off of data rate, latency, reliability. New applications, including augmented reality, auto...

Pahkasalo, Carolina Sollander, André

An emerging technology is the hybridization of wheel loaders. Since wheel loaders commonly operate in repetitive cycles it should be possible to use this information to develop an efficient energy management strategy that decreases fuel consumption. The purpose of this thesis is to evaluate if and how this can be done in a real-time online applicat...

Boulal, A. Chakir, H.E. Drissi, M. Ouadi, H.

– The aim of this paper is to develop tools for the Optimal Power Flow Management Control (OPFMC) in a microgrid (MG). It consists of a photovoltaic system, an energy storage system, a gas turbine, and a main grid (energy exchange). Unlike the conventional approaches, which are limited to the distribution of the active power, this paper relies on a...

Bhikadiya, Ruchit Anilbhai

The new emission regulations for new trucks was made to decrease the CO2 emissions by 30% from 2020 to 2030. One of the solutions is hybridizing the truck powertrain with 48V or 600V that can recover brake energy with electrical machines and batteries. The control of this hybrid powertrain is key to increase fuel efficiency. The idea behind this ap...

Akian, Marianne Chancelier, Jean-Philippe Tran, Benoît

We consider discrete time optimal control problems with finite horizon involving continuous states and possibly both continuous and discrete controls, subject to non-stationary linear dynamics and convex costs. In this general framework, we present a stochastic algorithm which generates monotone approximations of the value functions as a pointwise ...