Výsledky vyhledávání - "De Schutter, B.H.K."

Combined MPC and reinforcement learning for traffic signal control in urban traffic networks

Autor: Remmerswaal, Willemijn, Sun, D., Jamshidnejad, A., De Schutter, B.H.K., Barbu, Marian, Solea, Razvan

Publikováno v: Proceedings of the 26th International Conference on System Theory, Control and Computing, ICSTCC 2022

In general, the performance of model-based controllers cannot be guaranteed under model uncertainties or disturbances, while learning-based controllers require an extensively sufficient training process to perform well. These issues especially hold f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aa629ccc41875dea6ac4f4b8361e939
https://doi.org/10.1109/icstcc55426.2022.9931771

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Logic-based distributed switching control for agents in power-chained form with multiple unknown control directions

Autor: Lv, Maolong, De Schutter, B.H.K., Shi, Chao, Baldi, S.

Publikováno v: Automatica, 137

This work studies logic-based distributed switching control for nonlinear agents in power-chained form, where logic-based (switching) control arises from the online estimation of the control directions assumed to be unknown for all agents. Compared t

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http://resolver.tudelft.nl/uuid:c312c38f-7ce4-46b5-aa90-9f0f482fe17c

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Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

Autor: Lago, Jesus, Marcjasz, Grzegorz, De Schutter, B.H.K., Weron, Rafał

Publikováno v: Applied Energy, 293

While the field of electricity price forecasting has benefited from plenty of contributions in the last two decades, it arguably lacks a rigorous approach to evaluating new predictive algorithms. The latter are often compared using unique, not public

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http://resolver.tudelft.nl/uuid:5a4e3795-bc31-4c26-92b0-5d4712b85d05

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Distributed Chance-Constrained Model Predictive Control for Condition-Based Maintenance Planning for Railway Infrastructures

Autor: Su, Z., Jamshidi, A., Nunez, Alfredo, Baldi, S., De Schutter, B.H.K., Lughofer, Edwin, Sayed-Mouchaweh, Moamar

Publikováno v: Predictive Maintenance in Dynamic Systems ISBN: 9783030056445
Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
Predictive Maintenance in Dynamic Systems

We develop a Model Predictive Control (MPC) approach for condition-based maintenance planning under uncertainty for railway infrastructure systems composed of multiple components. Piecewise-affine models with uncertain parameters are used to capture

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b43ac00f6cf8d8e84c8f9228910abce2
https://doi.org/10.1007/978-3-030-05645-2_18

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A novel Lyapunov function for a non-weighted L2 gain of asynchronously switched linear systems

Autor: Yuan, S., Zhang, Lixian, De Schutter, B.H.K., Baldi, S.

Publikováno v: Automatica, 87

In this paper, a novel Lyapunov function is proposed to study switched linear systems with a switching delay between activation of system modes and activation of candidate controller modes. The novelty consists in continuity of the Lyapunov function

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http://resolver.tudelft.nl/uuid:9826f308-6e01-49c6-927c-f284bee4a893

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A variable speed limit controller for recurrent congestion based on the optimal solution

Autor: Dominguez Frejo, J.R., De Schutter, B.H.K.

Publikováno v: Proceedings of the Transportation Research Board-97th 2018 Annual Meeting

The main goal of this paper is the proposal and simulation of a SPEed limit controller for Recurrent Traffic jams (SPERT) that approximates the behavior of an optimal controller when congestion profiles are similar to the typical one. In order to ach

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http://resolver.tudelft.nl/uuid:f92ed14c-4fe2-41a6-a242-73e4f9036513

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A Jacobi decomposition algorithm for distributed convex optimization in Distributed Model Predictive Control

Autor: Dang Doan, Minh, Diehl, Moritz, Keviczky, T., De Schutter, B.H.K., Dochain, Denis, Henrion, Didier, Peaucelle, Dimitri

Publikováno v: IFAC-PapersOnLine: Proceedings 20th IFAC World Congress, 50-1

In this paper we introduce an iterative distributed Jacobi algorithm for solving convex optimization problems, which is motivated by distributed model predictive control (MPC) for linear time-invariant systems. Starting from a given feasible initial

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http://resolver.tudelft.nl/uuid:b5c6816c-31cd-40fa-b9b2-652cbd5801e5

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Near-optimal control with adaptive receding horizon for discrete-time piecewise affine systems

Autor: Xu, J., Buşoniu, Lucian, De Schutter, B.H.K., Dochain, D, Henrion, D, Peaucelle, D

Publikováno v: IFAC-PapersOnLine: Proceedings 20th IFAC World Congress, 50-1

We consider the infinite-horizon optimal control of discrete-time, Lipschitz continuous piecewise affine systems with a single input. Stage costs are discounted, bounded, and use a 1 or ∞-norm. Rather than using the usual fixed-horizon approach fro

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http://resolver.tudelft.nl/uuid:7ae33605-2335-4e53-b691-69cccd44e4d7

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A big data analysis approach for rail failure risk assessment

Autor: Jamshidi, A., Faghih Roohi, S., Hajizadeh, S., Nunez, Alfredo, Babuska, R., Dollevoet, R.P.B.J., Li, Z., De Schutter, B.H.K.

Publikováno v: Risk Analysis: an international journal, 37(8)

Railway infrastructure monitoring is a vital task to ensure rail transportation safety. A rail failure could result in not only a considerable impact on train delays and maintenance costs, but also on safety of passengers. In this article, the aim is

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Min-max control of fuel-cell-car-based smart energy systems

Autor: Alavi, F., van de Wouw, N., De Schutter, B.H.K., Rantzer, Anders, Bagterp Jørgensen, John, Stoustrup, Jakob

Publikováno v: ECC
Proceedings 2016 European Control Conference (ECC)
Proceedings of the European Control Conference 2016, 29 June-1 July 2016, Aalborg, Denmark, 1223-1228
STARTPAGE=1223;ENDPAGE=1228;TITLE=Proceedings of the European Control Conference 2016, 29 June-1 July 2016, Aalborg, Denmark

Recently, the idea of using fuel cell vehicles as the future way of producing electricity has emerged. A fuel cell car has all the necessary devices on board to convert the chemical energy of hydrogen into electricity. This paper considers a scenario

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d52e63c4123eec7c82c323520b6cced
https://doi.org/10.1109/ecc.2016.7810456

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