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Scenario-Based MPC for Real-Time Passenger-Centric Timetable Scheduling of Urban Rail Transit Networks

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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Adaptive Parameterized Control for Coordinated traffic Management Using Reinforcement Learning

Sun, D. (author), Jamshidnejad, A. (author), De Schutter, B.H.K. (author)

Traffic control is essential to reduce congestion in both urban and freeway traffic networks. These control measures include ramp metering and variable speed limits for freeways, and traffic signal control for urban traffic. However, current traffic control methods are either too simple to respond to complex traffic environment, or too...

journal article 2023

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Max-Min-Plus-Scaling Systems in a Discrete-Event Framework with an Application in Urban Railway

van den Boom, A.J.J. (author), Gupta, A. (author), De Schutter, B.H.K. (author), Beek, Ruby (author)

In this paper we discuss modelling and control of discrete-event systems using max-min-plus-scaling systems. We analyse how the basic operations max, min, plus, and scaling occur in the modelling phase and we discuss some general forms for the system. Because of the different/deviating character of the signals in a discrete-event MMPS model,...

journal article 2023

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Signal selection for local module identification in linear dynamic networks: A graphical approach

Shi, S. (author), Cheng, Xiaodong (author), De Schutter, B.H.K. (author), Van den Hof, Paul M.J. (author)

In a dynamic network of interconnected transfer functions, it is not necessary to use all the node signals for estimating a local transfer function. Given the network topology, detailed conditions are available for selecting inputs and outputs in a (MIMO) predictor model that warrants consistent and minimum variance estimation of a target...

journal article 2023

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Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes

Airaldi, F. (author), De Schutter, B.H.K. (author), Dabiri, A. (author)

This paper proposes a method to encourage safety in Model Predictive Control (MPC)-based Reinforcement Learning (RL) via Gaussian Process (GP) regression. The framework consists of 1) a parametric MPC scheme that is employed as model-based controller with approximate knowledge on the real system's dynamics, 2) an episodic RL algorithm tasked...

journal article 2023

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Parametric Piecewise-Affine Approximation of Nonlinear Systems: A Cut-Based Approach

Gharavi, L. (author), De Schutter, B.H.K. (author), Baldi, S. (author)

Piecewise-affine (PWA) approximations are widely used among hybrid modeling frameworks as a way to increase computational efficiency in nonlinear control and optimization problems. A variety of approaches to construct PWA approximations have been proposed, most of which are tailored to specific application areas by using some prior knowledge...

journal article 2023

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Predictive Control of Irrigation Canals Considering Well-being of Operators

Ranjbar, R. (author), Sadowska, A. (author), Maestre, J. M. (author), van Overloop, P.J.A.T.M. (author), De Schutter, B.H.K. (author)

We propose a model-predictive control (MPC) approach to solve a human-in-the-loop control problem for a non-automatic networked system with uncertain dynamics. There are no sensors or actuators installed in the system and we involve humans in the loop to travel between various nodes in the network and to provide the remote controller with...

journal article 2023

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Hierarchical Model Predictive Control for on-Line High-Speed Railway Delay Management and Train Control in a Dynamic Operations Environment

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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Distributed MPC for Large Freeway Networks Using Alternating Optimization

Todorović, Uglješa (author), Frejo, José Ramón D. (author), De Schutter, B.H.K. (author)

The Model Predictive Control (MPC) framework has shown great potential for the control of Variable Speed Limits (VSLs) and Ramp Metering (RM) installations. However, the implementation to large freeway networks remains challenging. One major reason is that, by considering the VSLs to be discrete decision variables, an extremely difficult Mixed...

journal article 2022

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Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge

Ilioudi, A. (author), Dabiri, A. (author), Wolf, B.J. (author), De Schutter, B.H.K. (author)

Deep learning has enabled the rapid expansion of computer vision tasks from image frames to video segments. This paper focuses on the review of the latest research in the field of computer vision tasks in general and on object localization and identification of their associated pixels in video frames in particular. After performing a systematic...

journal article 2022

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A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

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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Influence of hydrogen on grid investments for smart microgrids

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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Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles

de Gelder, E. (author), Hof, Jasper (author), Cator, Eric (author), Paardekooper, Jan Pieter (author), Camp, Olaf Op den (author), Ploeg, Jeroen (author), De Schutter, B.H.K. (author)

The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex operational domain of AVs. One candidate is scenario-based assessment, in which test cases are derived from real-world road traffic scenarios obtained from driving...

journal article 2022

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Real-time UAV routing strategy for monitoring and inspection for post-disaster restoration of distribution networks

Fu, J. (author), Nunez, Alfredo (author), De Schutter, B.H.K. (author)

Natural disasters pose a tremendous risk to the reliability of distribution networks. In this paper, a novel real-time UAV routing strategy for coordination between monitoring and inspection for post-disaster restoration in distribution networks is proposed. With our proposed real-time UAV routing strategy, damages can be inspected by UAVs...

journal article 2022

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Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks

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

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Distributed Adaptive Optimization with Weight-Balancing

Yue, D. (author), Baldi, S. (author), Cao, Jinde (author), De Schutter, B.H.K. (author)

This article addresses the continuous-time distributed optimization of a strictly convex summation-separable cost function with possibly nonconvex local functions over strongly connected digraphs. Distributed optimization methods in the literature require convexity of local functions, or balanced weights, or vanishing step sizes, or algebraic...

journal article 2022

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An MPC-Based Rescheduling Algorithm for Disruptions and Disturbances in Large-Scale Railway Networks

Cavone, Graziana (author), van den Boom, A.J.J. (author), Blenkers, Lex (author), Dotoli, Mariagrazia (author), Seatzu, Carla (author), De Schutter, B.H.K. (author)

Railways are a well-recognized sustainable transportation mode that helps to satisfy the continuously growing mobility demand. However, the management of railway traffic in large-scale networks is a challenging task, especially when both a major disruption and various disturbances occur simultaneously. We propose an automatic rescheduling...

journal article 2022

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A scenario-based distributed model predictive control approach for freeway networks

Liu, S. (author), Sadowska, A.D. (author), De Schutter, B.H.K. (author)

In this paper a scenario-based Distributed Model Predictive Control (DMPC) approach based on a reduced scenario tree is developed for large-scale freeway networks. In the new scenario-based DMPC approach, uncertainties in a large-scale freeway network are distinguished into two categories: global uncertainties for the overall network and...

journal article 2022

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A mix design methodology of slag and fly ash-based alkali-activated paste

Sun, Beibei (author), Sun, Yubo (author), Ye, G. (author), De Schutter, Geert (author)

In this paper, a series of experiments were conducted to systematically and quantitively explore the effects of control factors on the early age properties, i.e., workability and strength of slag and fly ash-based alkali-activated paste (BFS/FA-AAP). The control factors on the workability (flowability and setting time) of BFS/FA-AAP include...

journal article 2022

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Intra-day scheduling of a local energy community coordinated with day-ahead multistage decisions

Orozco, Camilo (author), Borghetti, Alberto (author), De Schutter, B.H.K. (author), Napolitano, Fabio (author), Pulazza, Giorgia (author), Tossani, Fabio (author)

The paper presents a coordinated day-ahead and intra-day approach for the scheduling of the resources in a local energy community (LEC). The considered LEC consists of a collective of power prosumers that can directly trade energy with each other in addition to the external provider. The scheduling approach is based on the alternating...

journal article 2022