Searched for: subject%3A%22Predictive%255C+control%22
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van der Knaap, Jeroen (author)
Improving the energy efficiency of electric vehicles has various significant benefits, such as increasing the driving range. The Thermal Management System (TMS) plays a large role in optimizing the vehicle energy consumption and battery lifetime. In this thesis, a nonlinear Model Predictive control (MPC) strategy is presented to regulate the...
master thesis 2023
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Rajappa, Naveen (author)
The primary objective of this research is to develop an energy management system for the Co-creation center (CCC) that maximizes the use of passive energy sources while maintaining indoor thermal comfort. Passive energy sources have the potential to significantly reduce the energy consumption of the building. However, to achieve optimal energy...
master thesis 2023
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Rado, Karlo (author)
A key challenge for SaR robotics is to avoid dynamic obstacles in cluttered environments, with limited and noisy information. In this research, a controller for SaR robots is developed by coupling a local heuristic motion planner with a model predictive control (MPC) based trajectory tracker. Constraint tightening and tube-based control are used...
master thesis 2023
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Harmankaya, Hüseyin (author)
Commercially available Lane Keeping Assist systems fail to consider the driver's intentions since they mainly focus on minimising path tracking errors, resulting in conflicts between humans and automation. This often leads to users being unsatisfactory and turning off the assist, as a result diminishing the advantages such as reduced workload...
master thesis 2023
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Seferlis, Ilias (author)
As Autonomous Vehicles (AVs) navigate through dynamic and constantly changing environments, it is crucial that they take into account the impact of their actions on the decisions of others for safe and efficient interaction with humans. In doing so, they need to anticipate how humans will behave in different situations based on their intentions....
master thesis 2023
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Romeijn, Noortje (author)
Rapid discharge of excess water has always been the core of Dutch water management. Due to climate change, a change in strategy is required. A future-proof drainage strategy consists of three steps: 1) retention, 2) storage, and 3) controlled removal. This thesis comprises the design and evaluation of an algorithm for groundwater-based Model...
master thesis 2023
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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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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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Beets, Simon (author)
master thesis 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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Pamososuryo, A.K. (author), Liu, Y. (author), Gybel Hovgaard, Tobias (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)
Economic model predictive control (EMPC) has received increasing attention in the wind energy community due to its ability to trade-off economic objectives with ease. However, for wind turbine applications, inherent nonlinearities, such as from aerodynamics, pose difficulties in attaining a convex optimal control problem (OCP), by which real...
journal article 2023
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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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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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Lodder, Niels (author), van der Ploeg, Chris (author), Ferranti, L. (author), Silvas, Emilia (author)
With increased developments and interest in cooperative driving and higher levels of automation (SAE level 3+), the need for safety systems that are capable to monitor system health and maintain safe operations in faulty scenarios is increasing. A variety of faults or failures could occur, and there exists a high variety of ways to respond to...
journal article 2023
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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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van den Broek, M.J. (author), van den Berg, D.G. (author), Sanderse, Benjamin (author), van Wingerden, J.W. (author)
Dynamic induction control is a wind farm flow control strategy that utilises wind turbine thrust variations to accelerate breakdown of the aerodynamic wake and improve downstream turbine performance. However, when floating wind turbines are considered, additional dynamics and challenges appear that make optimal control difficult. In this work...
journal article 2023
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Anderson, A. (author), Segovia Castillo, P. (author), Martin, J. G. (author), Duviella, E. (author)
This paper presents a switched linear system representation of water canal dynamics to incorporate different operating modes, which arise due to the occurrence of extreme weather phenomena such as flooding and drought episodes. To guarantee the stability during mode switching, a proper analysis on permanence regions-given by a collection of...
journal article 2023
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Tran, Hoang Anh (author), Johansen, Tor Arne (author), Negenborn, R.R. (author)
Collision avoidance is one of the most challenging problems in developing a Maritime Autonomous Surface Ship. This paper proposes a pro-active collision avoidance algorithm for inland waterway ships. The algorithm addresses the problem of avoiding collisions with dynamic obstacles by applying a situation-based intention prediction for...
journal article 2023
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Dinkla, R.T.O. (author), Mulders, S.P. (author), van Wingerden, J.W. (author), Oomen, T.A.E. (author)
In recent years, the amount of data available from systems has drastically increased, motivating the use of direct data-driven control techniques that avoid the need of parametric modeling. The aim of this paper is to analyze closed-loop aspects of these approaches in the presence of noise. To analyze this, a unified formulation of several...
journal article 2023
Searched for: subject%3A%22Predictive%255C+control%22
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