Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Utrecht UniversityNL210 papers
- Delft University of TechnologyNL196 papers
- Centre National de la Recherche ScientifiqueFR195 papers
- Centrum Wiskunde & InformaticaNL163 papers
- University of TwenteNL158 papers
- University of AmsterdamNL113 papers
- Radboud University NijmegenNL89 papers
- University of Rome Tor VergataIT84 papers
- Vrije Universiteit AmsterdamNL79 papers
- Leiden UniversityNL72 papers
- University of GroningenNL58 papers
- Philips (Netherlands)NL56 papers
180 papers · 1 filter
Coordination Architecture Shapes Continuous Demand Response Outcomes in Building Districts
Ava Mohammadi, Rick Kramer, Zoltan Nagy
Grid-integrated building districts must provide energy flexibility while preserving occupant comfort and equitable distribution of control burden. We study how coordination archite…
Battery Electric Truck Infrastructure Co-design via Joint Optimization and Agent-based Simulation
Juan Pablo Bertucci, Mauro Salazar, Theo Hofman
As zero-emission zones emerge in European cities, fleet operators are shifting to electric vehicles. To maintain their current operations, a clear understanding of the charging inf…
Simultaneous Optimization of Electric Ferry Operations and Charging Infrastructure
Juan Pablo Bertucci, Theo Hofman, Mauro Salazar
Electrification of marine transport is a promising solution to reduce sector greenhouse gas emissions and operational costs. However, the large upfront cost of electric vessels and…
Tilt-based Aberration Estimation in Transmission Electron Microscopy
Jilles S. van Hulst, Erik M. Franken, Bart J. Janssen +2
Transmission electron microscopes (TEMs) enable atomic-scale imaging but suffer from aberrations caused by lens imperfections and environmental conditions, reducing image quality.…
Orthogonal-by-construction augmentation of physics-based input-output models
Bendegúz M. Györök, Maarten Schoukens, Tamás Péni +1
This paper proposes a novel orthogonal-by-construction parametrization for augmenting physics-based input-output models with a learning component in an additive sense. The parametr…
High-Performance Trajectory Tracking MPC for Quadcopters with Coupled Time-Varying Constraints and Stability Proofs
Maedeh Izadi, A. T. J. R. Cobbenhagen, R. L. Sommer +3
In this paper, we present a cascade control structure to address the trajectory tracking problem for quadcopters, ensuring uniform global asymptotic stability of the state tracking…
Optimal Sizing and Control of a Grid-Connected Battery in a Stacked Revenue Model Including an Energy Community
Tudor Octavian Pocola, Valentin Robu, Jip Rietveld +5
Recent years have seen rapid increases in intermittent renewable generation, requiring novel battery energy storage systems (BESS) solutions. One recent trend is the emergence of l…
System Level Synthesis for Affine Control Policies: Model Based and Data-Driven Settings
Lukas Schüepp, Giulia De Pasquale, Florian Dörfler +1
There is an increasing need for effective control of systems with complex dynamics, particularly through data-driven approaches. System Level Synthesis (SLS) has emerged as a power…
Intermodal Network of Autonomous Mobility-on-Demand and Micromobility Systems
S. J. Abbasi Koumleh, Fabio Paparella
This paper studies models for Autonomous Micromobility-on-Demand (AMoD), a paradigm in which a fleet of autonomous vehicles delivers mobility services on demand in conjunction with…
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction
Diego Fernández-Zapico, Theo Hofman, Mauro Salazar
This paper presents an online energy management system for an energy hub where electric vehicles are charged combining on-site photovoltaic generation and battery energy storage wi…
Memory-dependent abstractions of stochastic systems through the lens of transfer operators
Adrien Banse, Giannis Delimpaltadakis, Luca Laurenti +2
With the increasing ubiquity of safety-critical autonomous systems operating in uncertain environments, there is a need for mathematical methods for formal verification of stochast…
Local Rational Modeling for Identification Beyond the Nyquist Frequency: Applied to a Prototype Wafer Stage
Max van Haren, Lennart Blanken, Koen Classens +1
Fast-rate models are essential for control design, specifically to address intersample behavior. The aim of this paper is to develop a frequency-domain non-parametric identificatio…
Performance Analysis of Multirate Systems: A Direct Frequency-Domain Identification Approach
Max van Haren, Lennart Blanken, Tom Oomen
Frequency-domain performance analysis of intersample behavior in sampled-data and multirate systems is challenging due to the lack of a frequency-separation principle, and systemat…
Leader-Follower Formation Tracking Control of Quadrotor UAVs Using Bearing Measurements
S. Doodeman, Z. Tang, M. Jacinto +2
This work addresses the practical problem of distributed formation tracking control of a group of quadrotor vehicles in a relaxed sensing graph topology with a very limited sensor…
Parameter-Varying Feedforward Control: A Kernel-Based Learning Approach
Max van Haren, Lennart Blanken, Tom Oomen
The increasing demands for high accuracy in mechatronic systems necessitate the incorporation of parameter variations in feedforward control. The aim of this paper is to develop a…
System Identification Beyond the Nyquist Frequency: A Kernel-Regularized Approach
Max van Haren, Roy S. Smith, Tom Oomen
Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique f…
Data-Efficient Extremum-Seeking Control Using Kernel-Based Function Approximation
Wouter Weekers, Alessandro Saccon, Nathan van de Wouw
Existing extremum-seeking control (ESC) approaches typically rely on applying repeated perturbations to input parameters and performing measurements of the corresponding performanc…
High-Performance Model Predictive Control for Quadcopters with Formal Stability Guarantees
Maedeh Izadi, A. T. J. R. Cobbenhagen, Ruben Sommer +3
In this paper, we present a novel cascade control structure with formal guarantees of uniform almost global asymptotic stability for the state tracking error dynamics of a quadcopt…
A behavioral approach for LPV data-driven representations
Chris Verhoek, Ivan Markovsky, Sofie Haesaert +1
In this paper, we present a data-driven representation for linear parameter-varying (LPV) systems, which can be used for direct data-driven analysis and control of such systems. Sp…
Bias correction and instrumental variables for direct data-driven model-reference control
Manas Mejari, Valentina Breschi, Simone Formentin +1
Managing noisy data is a central challenge in direct data-driven control design. We propose an approach for synthesizing model-reference controllers for linear time-invariant (LTI)…
Scalable control synthesis for stochastic systems via structural IMDP abstractions
Frederik Baymler Mathiesen, Sofie Haesaert, Luca Laurenti
This paper introduces a novel abstraction-based framework for controller synthesis of nonlinear discrete-time stochastic systems. The focus is on probabilistic reach-avoid specific…
Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them
S. A. N. Nouwens, B. de Jager, M. M. Paulides +1
Model Predictive Control (MPC) is a successful control methodology, which is applied to increasingly complex systems. However, real-time feasibility of MPC can be challenging for c…
Accelerating soft-constrained MPC for linear systems through online constraint removal
S. A. N. Nouwens, M. M. Paulides, W. P. M. H. Heemels
Optimization-based controllers, such as Model Predictive Control (MPC), have attracted significant research interest due to their intuitive concept, constraint handling capabilitie…
Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments
S. A. N. Nouwens, M. M. Paulides, W. P. M. H. Heemels
Accurate state estimates are required for increasingly complex systems, to enable, for example, feedback control. However, available state estimation schemes are not necessarily re…