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Integrating human drivers' behavioural rules into microscopic traffic simulation

Vonk, Martijn (author)

Autonomous vehicles (AVs) can solve a lot of problems related to traffic safety, comfort and congestion. While the sensors used by these vehicles are getting cheaper, more accurate, and software is improving, the first completely automated vehicle does not exist yet. When AVs start gradually driving on the roads, there will be a mixed traffic...

master thesis 2023

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Model-based Integrated Planning and Control of Autonomous Vehicles using Artificial Potential Fields

Das, Viswanath (author)

Navigation systems in an Autonomous Vehicles (AV) can be divided into two parts: a path planning block which takes in the environmental data and rules to design a collision-free obstacle and a vehicle control and tracking block which generates actuator inputs for the AV to follow the reference path generated by the path planning block. Each task...

master thesis 2023

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Effect of Neural Network Driver Predictions on the Expected Quality of a Model Predictive Control Algorithm for Driving Simulators

Beets, Simon (author)

master thesis 2023

document

Model predictive control and protection of MMC-based MTDC power systems

Shetgaonkar, A.D. (author), Liu, L. (author), Lekic, 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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Grammatical-Evolution-based parameterized Model Predictive Control for urban traffic networks

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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Real-time control of combined sewer systems: Risks associated with uncertainties

van der Werf, J.A. (author), Kapelan, Z. (author), Langeveld, J.G. (author)

Model Predictive Control (MPC) of combined sewer systems can reduce environmental degradation caused by uncontrolled overflows. However, practical uncertainties are often neglected when assessing the potential of MPC strategies. This paper aims to understand the risks associated with using a non-perfect internal MPC-model, real precipitation...

journal article 2023

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Model predictive control of a thermal chimney and dynamic solar shades for an all-glass facades building

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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Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks

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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Automation on thermal control of blast furnace

Masuda, Ryosuke (author), Hashimoto, Y. (author), Mulder, Max (author), van Paassen, M.M. (author), Kano, Manabu (author)

Accurate process control through automation is the key to achieving efficient and stable operation of a blast furnace. In this study, we developed an automatic control system of hot metal temperature (HMT). To cope with the slow and complex process dynamics of the blast furnace, we constructed a control algorithm that predicts eight-hour...

journal article 2023

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The role of data visibility in the control and automation of modern Supply Chains: A Model Predictive Control case study in Ferrari

Dell'Orto, Federico (author)

Nowadays many companies still conceive their logistic operations as a simple material replenishment of the production plants and do not invest money and time in projects to structure their Supply Chain and bring more eciency to the production process. In addition, the high complexity of the automotive industry and the emerging uncertainties that...

master thesis 2022

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Forecasting Mortgage Prepayments in Changing Interest Rate Regimes: A Hybrid Economic-Engineering Model with EMPC

Krabbenborg, Britt (author)

Banks such as Rabobank depend on multi-year mortgage prepayment forecasts in order to make provisions for the associated prepayment risks. The econometric models they use are fitted to historical data, and as a consequence their models are fitted to a decreasing interest rate regime. Given the current economic climate of increasing interest...

master thesis 2022

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A real-time optimal control approach to autonomous drifting

Cador, Andrei (author)

Full vehicle automation requires complete control over all driving scenarios that can be encountered on roads in order to ensure passenger safety at all times. This extends to dangerous situations such as losing control on slippery surfaces, commonly known as drifting. This work aims to make a step toward ensuring passenger safety in these...

master thesis 2022

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Raybot: Design and control of an underwater quay wall inspection vehicle

van Enckevort, Tijmen (author)

Quay walls are important structures that keep the water in harbours and canals within their bounds, and accommodate large infrastructure like roads or ship-handling structures on top of them. Due to their importance it is critical that they do not fail or collapse. Inspections are done to prevent this, as a better knowledge of the state of quay...

master thesis 2022

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Combined Path Tracking and Stability Control using Model Predictive Control

Lenssen, Daan (author)

This thesis presents a new MPC controller which integrates path tracking and stability control into one controller. Previously these tasks were done by separate controllers, where one controller handled the path tracking while another controller ensured the vehicle was kept in the stable operating region. A drawback of this method is that the...

master thesis 2022

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Realtime Data-driven Learning and Model Predictive Control using Gaussian Processes for Dynamical Systems

Pollack, Justin (author)

Nowadays, machine learning (ML) methods rapidly evolve for their use in model-based control applications. Model-based control requires an accurate model description of the dynamical system to reassure the performance of the controller. Conventionally, this model description is retrieved from first-principles modelling which can be problematic if...

master thesis 2022

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Cooperative Control of Autonomous Multi-Vessel Systems for Floating Object Manipulation

Du, Z. (author)

This thesis provides a set of cooperative control schemes for autonomous multi-vessel systems to manipulate a floating object through physical interconnections in onshore (inland waterways and ports) and offshore areas. Thanks to the maturity and popularity of the advancing technologies in information, communication, sensors, automatic control,...

doctoral thesis 2022

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Using Model Predictive Control on a Steer-by-Wire Bicycle for Performance Assistance

Draukšas, Simonas (author)

Bicycle safety is quickly becoming an increasingly important field as the number of electric bicycles on the streets grows faster each year. E-bikes are able to accelerate quicker and travel at faster speeds than conventional bicycles, increasing the severity of injuries in case of an accident. There are a number of ways to improve safety, such...

master thesis 2022

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Real-time Co-planning in Synchromodal Transport Networks using Model Predictive Control

Larsen, R.B. (author)

Container transport is an essential part of the well-functioning, highly specialized, and global production chains society currently relies on. To improve the utilization of resources, it is important to ensure all processes are as efficient as possible. Synchromodal transport is a recent transport paradigm which seeks to increase the efficiency...

doctoral thesis 2022

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Hybrid MPC based Motion Cueing Algorithm for Driving Simulators

Chadha, Akhil (author)

Driving simulators have been used in the automotive industry for many years now. They have been vastly employed for conducting tests in a safe, reproducible and controlled immersive virtual environment. The ability of the simulator to recreate the in-vehicle experience for the occupant is established through motion cueing algorithms. Such...

master thesis 2022

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Repositioning in shared mobility systems: Combining model predictive control and approximate dynamic programming

Vinks, Ties (author)

The global market for personal mobility has transformed over the last decade. Traditional taxi services have to compete with the emergence of ride-hailing services such as Uber and Lyft. Rapid developments in available algorithms and real-time inter-connectivity of travellers and vehicles offer mobility-on-demand (MOD) services new possibilities...

master thesis 2022