1 code implementation • 15 Dec 2023 • Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky
In this paper, we derive a PAC-Bayes bound on the generalisation gap, in a supervised time-series setting for a special class of discrete-time non-linear dynamical systems.
no code implementations • 3 Jul 2023 • Mirhan Ürkmez, Carsten Kallesøe, Jan Dimon Bendtsen, John Leth
The paper presents a predictive control method for the water distribution networks (WDNs) powered by photovoltaics (PVs) and the electrical grid.
no code implementations • 29 Mar 2023 • Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihaly Petreczky
In this paper we derive a Probably Approxilmately Correct(PAC)-Bayesian error bound for linear time-invariant (LTI) stochastic dynamical systems with inputs.
no code implementations • 31 Jan 2023 • Mirhan Ürkmez, Carsten Kallesøe, Jan Dimon Bendtsen, John Leth
This paper deals with the control of pumps in large-scale water distribution networks with the aim of minimizing economic costs while satisfying operational constraints.
no code implementations • 30 Dec 2022 • Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky
In this paper we derive a PAC-Bayesian-Like error bound for a class of stochastic dynamical systems with inputs, namely, for linear time-invariant stochastic state-space models (stochastic LTI systems for short).
1 code implementation • 24 Apr 2022 • Mohamad Al Ahdab, Torben Knudsen, Jakob Stoustrup, John Leth
In this paper, we present a model free approach to calculate long-acting insulin doses for Type 2 Diabetic (T2D) subjects in order to bring their blood glucose (BG) concentration to be within a safe range.
no code implementations • 6 Sep 2021 • Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihaly Petreczky
In this short article, we showcase the derivation of the optimal (minimum error variance) estimator, when one part of the stochastic LTI system output is not measured but is able to be predicted from the measured system outputs.
no code implementations • 23 Mar 2021 • Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihaly Petreczky
In this paper we derive a PAC-Bayesian error bound for autonomous stochastic LTI state-space models.
no code implementations • 4 Aug 2020 • Mohamad Al Ahdab, John Leth, Torben Knudsen, Peter Vestergaard, Henrik Clausen
Additionally, a discussion is provided to demonstrate the ability of the model to be used in the assessment of treatment plans and in the design for robust insulin dose guidance algorithms.