Searched for: subject%3A%22Modeling%22
(1 - 20 of 62)

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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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Yue, Dongdong (author), Baldi, S. (author), Cao, Jinde (author), De Schutter, B.H.K. (author)
This article describes an extension of the well-known model reference adaptive control (MRAC) approach. The extension relies on explicitly involving the tracking error in the feedback control law: it is shown that including this term along with its appropriate extra adaptive gain allows one to handle possibly unstable reference dynamics....
journal article 2024
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Moradvandi, A. (author), Abraham, E. (author), Goudjil, Abdelhak (author), De Schutter, B.H.K. (author), Lindeboom, R.E.F. (author)
This paper focuses on the development of linear Switched Box–Jenkins (SBJ) models for approximating complex dynamical models of biological wastewater treatment processes. We discuss the adaptation of these processes to the SBJ framework, showing the model's generality and flexibility as a class of switched systems that can offer accurate...
journal article 2024
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Lv, Maolong (author), De Schutter, B.H.K. (author), Wang, Ying (author), Shen, Di (author)
This article attempts to realize zero-error constrained tracking for hypersonic flight vehicles (HFVs) subject to unknown control directions and asymmetric flight state constraints. The main challenges of reaching such goals consist in that addressing multiple unknown control directions requires novel conditional inequalities encompassing the...
journal article 2023
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Wang, Yixia (author), Lin, Shu (author), Wang, Yibing (author), De Schutter, B.H.K. (author), Xu, Jungang (author)
Currently, with the development of driving technologies, driverless vehicles gradually are becoming more and more available. Therefore, there would be a long period of time during which self-driving vehicles and human-driven vehicles coexist. However, for a mixed platoon, it is hard to control the formation due to the existence of the manual...
journal article 2023
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Sadowska, Anna D. (author), Maestre, José María (author), Kassking, Ruud (author), van Overloop, P.J.A.T.M. (author), De Schutter, B.H.K. (author)
We propose a model-predictive control (MPC)-based approach to solve a human-in-the-loop control problem for a network system lacking sensors and actuators to allow for a fully automatic operation. The humans in the loop are, therefore, essential; they travel between the network nodes to provide the remote controller with measurements and to...
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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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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Meng, Z. (author), Liu, Qing feng (author), Ukrainczyk, Neven (author), Mu, Song (author), Zhang, Yufei (author), De Schutter, Geert (author)
Cementitious materials exposed to marine and saline environments are commonly threatened by a combined attack of sulfate and chloride ions. This study developed a numerical framework to investigate two combined coupling mechanisms of 1) coupled solid-liquid chemical reactions for competitive chloride-sulfate attack and 2) electrostatic multi...
journal article 2023
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Liu, X. (author), Dabiri, A. (author), De Schutter, B.H.K. (author)
Effective timetable scheduling strategies are essential for passenger satisfaction in urban rail transit networks. Most existing passenger-centric timetable scheduling approaches generate a timetable according to deterministic passenger origin-destination (OD) demands. As passenger OD demands in urban rail transit networks generally show a...
journal article 2023
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Cordiano, F. (author), Fochesato, Marta (author), Huang, Linbin (author), De Schutter, B.H.K. (author)
We present a model predictive control framework for a class of nonlinear systems affected by additive stochastic disturbances with (possibly) unbounded support. We consider hard input constraints and chance state constraints and we employ the unscented transform method to propagate the disturbances over the nonlinear dynamics in a...
journal article 2023
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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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Jeschke, J.M. (author), Sun, D. (author), Jamshidnejad, A. (author), De Schutter, B.H.K. (author)
While Model Predictive Control (MPC) is a promising approach for network-wide control of urban traffic, the computational complexity of the, often nonlinear, online optimization procedure is too high for real-time implementations. In order to make MPC computationally efficient, this paper introduces a parameterized MPC (PMPC) approach for...
journal article 2023
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de Araujo Passos, L.A. (author), Ceha, T.J. (author), Baldi, S. (author), De Schutter, B.H.K. (author)
Controlling the operation of HVAC (Heating, Ventilation, and Air-Conditioning) systems is arguably the most effective way to reach desired indoor conditions in buildings. Nevertheless, such control may involve complex dynamics when dealing with passive energy technologies. In this paper, we focus on maximizing the passive operation of HVAC in...
journal article 2023
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Alloul, A. (author), Moradvandi, A. (author), Puyol, Daniel (author), Molina, Raúl (author), Gardella, G. (author), Vlaeminck, Siegfried E. (author), De Schutter, B.H.K. (author), Abraham, E. (author), Lindeboom, R.E.F. (author), Weissbrodt, D.G. (author)
Purple phototrophic bacteria (PPB) show an underexplored potential for resource recovery from wastewater. Raceway reactors offer a more affordable full-scale solution on wastewater and enable useful additional aerobic processes. Current mathematical models of PPB systems provide useful mechanistic insights, but do not represent the full...
journal article 2023
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Liu, X. (author), Dabiri, A. (author), Wang, Yihui (author), De Schutter, B.H.K. (author)
Real-time timetable scheduling is an effective way to improve passenger satisfaction and to reduce operational costs in urban rail transit networks. In this paper, a novel passenger-oriented network model is developed for real-time timetable scheduling that can model time-dependent passenger origin-destination demands with consideration of a...
journal article 2023
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Wang, Yihui (author), Zhu, Songwei (author), Li, Shukai (author), Yang, Lixing (author), De Schutter, B.H.K. (author)
In practice, the operation of high-speed trains is often affected by adverse weather conditions or equipment failures, which result in delays and even cancellations of train services. In this article, a novel two-layer hierarchical model predictive control (MPC) model is proposed for on-line high-speed railway delay management and train...
journal article 2022
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Storani, Facundo (author), Di Pace, Roberta (author), De Schutter, B.H.K. (author)
The paper proposes a traffic responsive control framework based on a Model Predictive Control (MPC) approach. The framework focuses on a centralized method, which can simultaneously compute the network decision variables (i.e., the green timings at each junction and the offset of the traffic light plans of the network). Furthermore, the...
journal article 2022
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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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Li, D. (author), De Schutter, B.H.K. (author)
Data-driven control without using mathematical models is a promising research direction for urban traffic control due to the massive amounts of traffic data generated every day. This article proposes a novel distributed model-free adaptive predictive control (D-MFAPC) approach for multiregion urban traffic networks. More specifically, the...
journal article 2022
Searched for: subject%3A%22Modeling%22
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