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Necoara, I. (author), De Schutter, B. (author), Van Den Boom, T.J.J. (author), Hellendoorn, H. (author)
journal article 2007
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Zheng, H. (author), Negenborn, R.R. (author), Lodewijks, G. (author)
Large ports are seeking innovative logistical ways to improve their competitiveness world-wide. This article proposes waterborne AGVs, inspired by conventional automated guided vehicles and autonomous surface vessels, for transport over water. A predictive path following with arrival time awareness controller is proposed for such waterborne AGVs...
journal article 2016
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Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author), Papageorgiou, Markos (author), Roncoli, Claudio (author)
In this paper we develop a fast model predictive control (MPC) approach for variable speed limit coordination to resolve freeway jam waves. Existing MPC approaches that are based on the second-order traffic flow models suffer from high computation load due to the non-linear and non-convex optimization formulation. In recent years, simplified...
journal article 2017
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Wang, K. (author), Yan, Xinping (author), Yuan, Yupeng (author), Jiang, X. (author), Lin, X. (author), Negenborn, R.R. (author)
Nowadays, optimization of ship energy efficiency attracts increasing attention in order to meet the requirement for energy conservation and emission reduction. Ship operation energy efficiency is significantly influenced by environmental factors such as wind speed and direction, water speed and depth. Owing to inherent time-variety and...
journal article 2018
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Lin, X. (author), Negenborn, R.R. (author), Lodewijks, G. (author)
Modern technologies have enabled approaches to estimate freshness of perishable products during production and distribution. This allows supply chains to apply more advanced decision support systems in order to further reduce the loss of perishable products. In this paper we focus on the postharvest scheduling of starch potatoes. In...
journal article 2018
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Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Roncoli, Claudio (author), Hoogendoorn, S.P. (author)
This paper extends an existing linear quadratic model predictive control (LQMPC) approach to multi-destination traffic networks, where the correct origin-destination (OD) relations are preserved. In the literature, the LQMPC approach has been presented for efficient routing and intersection signal control. The optimization problem in the...
journal article 2018
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van de Weg, Goof Sterk (author), Vu, Hai L. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)
In this paper, we develop a hierarchical approach to optimize the signal timings in an urban traffic network taking into account the different dynamics in all traffic regimes. The proposed hierarchical control framework consists of two layers. The first layer--the network coordination layer--uses a model predictive control strategy based on a...
journal article 2018
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Boersma, S. (author), Doekemeijer, B.M. (author), Siniscalchi-Minna, S. (author), van Wingerden, J.W. (author)
Active power control for wind farms is needed to provide ancillary services. One of these services is to track a power reference signal with a wind farm by dynamically de- and uprating the turbines. In this paper we present a closed-loop wind farm controller that evaluates 1) thrust coefficients on a seconds-scale that provide power tracking...
journal article 2019
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Santis, Patricio (author), Sáez, Doris (author), Cárdenas, Roberto (author), Nunez, Alfredo (author)
Modulated model predictive control (M <sup>2</sup> PC) allows fixed switching frequency operation of power converters, producing lower ripple and lower total harmonic distortion (THD) in the output signals than those obtained using regular model predictive control (MPC) algorithms. However, the design of the M <sup>2</sup> PC algorithm and...
journal article 2019
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Haseltalab, A. (author), Negenborn, R.R. (author)
Over the last few years, autonomous shipping has been under extensive investigation by the scientific community where the main focus has been on ship maneuvering control and not on the optimal use of energy sources. In this paper, the purpose is to bridge the gap between maneuvering control, energy management, and the control of the Power and...
journal article 2019
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Tian, X. (author), Guo, Y. (author), Negenborn, R.R. (author), Wei, Lingna (author), Lin, N.M. (author), Maestre, José María (author)
Operational water resources management needs to adopt operational strategies to re-allocate water resources by manipulating hydraulic structures. Model Predictive Control (MPC) has been shown to be a promising technique in this context. However, we still need to advance MPC in the face of hydrological uncertainties. This study makes the first...
journal article 2019
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Haseltalab, A. (author), Garofano, V. (author), van Pampus, Maurits (author), Negenborn, R.R. (author)
The maneuvering control of autonomous vessels has been under extensive investigations by academic and industrial communities since it is one of the primary steps towards enabling unmanned shipping. In this paper, a model predictive control (MPC) approach is presented for trajectory tracking control of vessels which takes into account the...
journal article 2020
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De Schutter, B.H.K. (author), van den Boom, A.J.J. (author), Xu, J. (author), Safaei Farahani, S. (author)
The objective of this paper is to provide a concise introduction to the max-plus algebra and to max-plus linear discrete-event systems. We present the basic concepts of the max-plus algebra and explain how it can be used to model a specific class of discrete-event systems with synchronization but no concurrency. Such systems are called max...
journal article 2020
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van der Zwan, Sam (author), Pothof, I.W.M. (author)
Future district heating systems (DHS) will be supplied by renewable sources, most of which are limited in temperature and flow rate. Therefore, operational optimization of DHS is required to maximize the use of renewable sources and minimize (fossil) peak loads. In this paper, we present a robust and fast model-predictive control approach to...
journal article 2020
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Duret, Aurelien (author), Wang, M. (author), Ladino, Andres (author)
Truck platooning has attracted substantial attention due to its pronounced benefits in saving energy and promising business model in freight transportation. However, one prominent challenge for the successful implementation of truck platooning is the safe and efficient interaction with surrounding traffic, especially at network...
journal article 2020
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Rios Lazcano, A.M. (author), Niu, Tenghao (author), Carrera Akutain, Xabier (author), Cole, David (author), Shyrokau, B. (author)
Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this study, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee...
journal article 2021
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Maestre, José M. (author), Velarde, Pablo (author), Ishii, Hideaki (author), Negenborn, R.R. (author)
In this paper, we present an analysis of the vulnerability of a distributed model predictive control (DMPC) scheme in the context of cyber-security. We consider different types of the so-called insider attacks. In particular, we consider the situation where one of the local controllers sends false information to others to manipulate costs for...
journal article 2021
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Shetgaonkar, A.D. (author), Lekić, A. (author), Rueda, José L. (author), Palensky, P. (author)
The multi-modular converter (MMC) technology is becoming the preferred option for the increased deployment of variable renewable energy sources (RES) into electrical power systems. MMC is known for its reliability and modularity. The fast adjustment of the MMC’s active/reactive powers, within a few milliseconds, constitutes a major research...
journal article 2021
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Pippia, T.M. (author), Lago, Jesus (author), De Coninck, Roel (author), De Schutter, B.H.K. (author)
State-of-the-art Model Predictive Control (MPC) applications for building heating adopt either a deterministic controller together with a nonlinear model or a linearized model with a stochastic MPC controller. However, deterministic MPC only considers one single realization of the disturbances and its performance strongly depends on the...
journal article 2021
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Larsen, R.B. (author), Atasoy, B. (author), Negenborn, R.R. (author)
Transport of containers on a-modal bookings enables transport suppliers to route the containers in accordance with the current state of the synchromodal transport network. At the same time, it enables the transport providers to route their vehicles in real time based on the current need for transportation. The interdependency of the routes of...
journal article 2021
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