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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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Bartels, Emiel Aurelius (author), Pippia, T.M. (author), De Schutter, B.H.K. (author)Electrification of the heat network in buildings together with a rise in popularity of Electric Vehicles (EVs) will result in a need to make investments in the electrical energy infrastructure in order to prevent congestion. This paper discusses the influence of hydrogen in future smart microgrids on these investments. Moreover, smart control...journal article 2022
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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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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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Zhang, Xinglong (author), Pan, W. (author), Scattolini, Riccardo (author), Yu, Shuyou (author), Xu, Xin (author)Koopman operators are of infinite dimension and capture the characteristics of nonlinear dynamics in a lifted global linear manner. The finite data-driven approximation of Koopman operators results in a class of linear predictors, useful for formulating linear model predictive control (MPC) of nonlinear dynamical systems with reduced...journal article 2022
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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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Haseltalab, A. (author), Wani, F.M. (author), Negenborn, R.R. (author)Power availability to preserve propulsion is a vital issue in the shipping industry which relies on persistent power generation and maintaining the stability of the power and propulsion system. Since the introduction of on-board all-electric Direct Current Power and Propulsion Systems (DC-PPS) with hybrid power generation, which are more...journal article 2022
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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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Shetgaonkar, A.D. (author), Liu, L. (author), Lekić, A. (author), Popov, M. (author), Palensky, P. (author)Meshed offshore grids (MOGs) present a viable option for a reliable bulk power transmission topology. The station-level control of MOGs requires faster dynamics along with multiple objective functions, which is realized by the model predictive control (MPC). This paper provides control, and protection design for the Modular Multilevel...journal article 2023
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Zhang, Lei (author), Liu, Wenjie (author), Du, Zhe (author), Du, Lei (author), Li, Xiaobin (author)Collision avoidance is a priority task for ensuring the safety of a maritime transportation system. However, for a ship towing system, which is characterized by multiple vessels and physical connections, the research works about collision avoidance is limited. Thus, this paper proposes a speed and heading control-based conflict resolution of...journal article 2023
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de Koning, C.M.M. (author), Jamshidnejad, A. (author)Search-and-rescue (SaR) in unknown environments is a crucial task with life-threatening risks. SaR requires precise, optimal, and fast decisions to be made. Robots are promising candidates expected to execute various SaR tasks autonomously. While humans use heuristics to effectively deal with uncertainties of SaR, optimisation of multiple...journal article 2023
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Castelletti, Andrea (author), Ficchì, Andrea (author), Cominola, Andrea (author), Segovia Castillo, P. (author), Giuliani, Matteo (author), Wu, Wenyan (author), Lucia, Sergio (author), Ocampo-Martinez, Carlos (author), De Schutter, B.H.K. (author), Maestre, José María (author)Model Predictive Control (MPC) has recently gained increasing interest in the adaptive management of water resources systems due to its capability of incorporating disturbance forecasts into real-time optimal control problems. Yet, related literature is scattered with heterogeneous applications, case-specific problem settings, and results...journal article 2023
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Larsen, R.B. (author), Negenborn, R.R. (author), Atasoy, B. (author)Cooperation between container transport service providers can increase efficiency in the logistics sector significantly. However, cooperation between competitors requires co-planning methods that not only give the cooperating partners an advantage towards external competition but also protect the partners from losing information, clients and...journal article 2023
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Liu, X. (author), Dabiri, A. (author), Xun, Jing (author), De Schutter, B.H.K. (author)This paper deals with the train scheduling problem for metro networks taking into account time-dependent passenger origin–destination demands and train speed profiles. The aim is to adjust train schedules online according to time-dependent passenger demands so that passenger satisfaction and operational costs are jointly optimized. An...journal article 2023
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Chanfreut, P. (author), Keijzer, T. (author), Maestre, J. M. (author), Ferrari, Riccardo M.G. (author)This work presents a coalitional model predictive controller for collaborative vehicle platoons. The overall system is modeled as a string of locally controlled vehicles that can share data through a wireless communication network. The vehicles can dynamically form disjoint groups that coordinate their actions, i.e., the so-called coalitions....journal article 2023
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Khosravi, M. (author), Huber, Benjamin (author), Decoussemaeker, Antoon (author), Heer, Philipp (author), Smith, Roy S. (author)Model Predictive Control can cope with conflicting control objectives in building energy managements. In terms of user satisfaction, visual comfort has been proven in several studies to be a crucial factor, however thermal comfort is typically considered the only important aspect. Besides human well-being, visual comfort strongly impacts the...journal article 2024
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Sun, D. (author), Jamshidnejad, A. (author), De Schutter, B.H.K. (author)We propose a novel method to improve the convergence performance of model predictive control (MPC) for setpoint tracking, by introducing sub-references within a multilevel MPC structure. In some cases, MPC is implemented with a short prediction horizon due to limited on-line computation capacity, which could lead to deteriorated dynamic...journal article 2023
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He, K. (author), Shi, S. (author), van den Boom, A.J.J. (author), De Schutter, B.H.K. (author)Approximate dynamic programming (ADP) faces challenges in dealing with constraints in control problems. Model predictive control (MPC) is, in comparison, well-known for its accommodation of constraints and stability guarantees, although its computation is sometimes prohibitive. This paper introduces an approach combining the two methodologies...journal article 2024
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Haninger, Kevin (author), Hegeler, Christian (author), Peternel, L. (author)Robotic tasks which involve uncertainty – due to variation in goal, environment configuration, or confidence in task model – may require human input to instruct or adapt the robot. In tasks with physical contact, several existing methods for adapting robot trajectory or impedance according to individual uncertainties have been proposed, e.g.,...journal article 2023