Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- QuTechNL582 papers
- Leiden UniversityNL317 papers
- Centre National de la Recherche ScientifiqueFR202 papers
- Eindhoven University of TechnologyNL196 papers
- ETH ZurichCH152 papers
- Netherlands Organisation for Applied Scientific ResearchNL125 papers
- University of AmsterdamNL122 papers
- University of CopenhagenDK115 papers
- Space Research Organisation NetherlandsNL113 papers
- Tohoku UniversityJP103 papers
- Joint Institute for VLBI ERICNL88 papers
- Harvard UniversityUS86 papers
219 papers · 1 filter
Homotopy-Guided Potential Games for Congestion-Aware Navigation
Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Lasse Peters, Michael Khayyat +3
We address the multi-agent motion planning problem where interactions, collisions, and congestion co-exist. Conventional game-theoretic planners capture interactions among agents b…
Assessing Maintenance of Medium Voltage Cable Networks Under Time-Varying Loading
Jochen Lorenz Cremer
The electrification and ongoing energy transition lead to systematic changes in electricity loading and variability in power systems. Distribution systems were designed for regular…
A Portfolio-Level Optimization Framework for Coordinated Market Participation and Operational Scheduling of Hydrogen-Centric Companies
Seyed Amir Mansouri, Kenneth Bruninx
The vision of electrolytic hydrogen as a clean energy vector prompts the emergence of hydrogen-centric companies that must simultaneously engage in electricity, hydrogen, and green…
Optimal-coupling-observer AV motion control securing comfort in the presence of cyber attacks
Farzam Tajdari, Georgios Papaioannou, Riender Happee
The security of Automated Vehicles (AVs) is an important emerging area of research in traffic safety. Methods have been published and evaluated in experimental vehicles to secure s…
Topology optimization of nonlinear forced response curves via reduction on spectral submanifolds
Hongming Liang, Matteo Pozzi, Jacopo Marconi +2
Forced response curves (FRCs) of nonlinear systems can exhibit complex behaviors, including hardening/softening behavior and bifurcations. Although topology optimization holds grea…
On the Smart Coordination of Flexibility Scheduling in Multi-carrier Integrated Energy Systems
Christian Doh Dinga, Sander van Rijn, Laurens de Vries +1
Coordinating the interactions between flexibility assets in multi-carrier integrated energy systems (MIES) can lead to an efficient integration of variable renewable energy resourc…
Data-Driven Fault Isolation in Linear Time-Invariant Systems: A Subspace Classification Approach
Mohammad Amin Sheikhi, Gabriel de Albuquerque Gleizer, Peyman Mohajerin Esfahani +1
We study the problem of fault isolation in linear systems with actuator and sensor faults within a data-driven framework. We propose a nullspace-based filter that uses solely fault…
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…
Sequential Operation of Residential Energy Hubs using Physics-Based Economic Nonlinear MPC
Darío Slaifstein, Gautham Ram Chandra Mouli, Laura Ramirez-Elizondo +1
The operation of residential energy hubs with multiple energy carriers (electricity, heat, mobility) poses a significant challenge due to different carrier dynamics, hybrid storage…
Risk-based approach to the Optimal Transmission Switching problem
Benoît Jeanson, Simon H. Tindemans
This paper deals with the secure Optimal Transmission Switching (OTS) problem in situations where the TSO is forced to accept the risk that some contingencies may result in the de-…
Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems
Zeynab Kaseb, Rahul Rane, Aleksandra Lekic +4
Quantum computing has emerged as a promising computational paradigm to address unresolved challenges in the modeling and control of modern power systems. However, most existing stu…
Distributed model predictive control without terminal cost under inexact distributed optimization
Xiaoyu Liu, Dimos V. Dimarogonas, Changxin Liu +2
This paper presents a novel distributed model predictive control (MPC) formulation without terminal cost and a corresponding distributed synthesis approach for distributed linear d…
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…
Closed-loop model-predictive wind farm flow control under time-varying inflow using FLORIDyn
Marcus Becker, Maarten J. van den Broek, Dries Allaerts +1
Wind farm flow control has been a key research focus in recent years, driven by the idea that a collectively operating wind farm can outperform individually controlled turbines. Co…
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…
Frequency Domain Stability and Convergence Analysis for General Reset Control Systems Architecture
S. Ali Hosseini, S. Hassan HosseinNia
A key factor that generates significant interest in reset control systems, especially within industrial contexts, is their potential to be designed using a frequency-domain loop-sh…
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…
Learning-based model predictive control for passenger-oriented train rescheduling with flexible train composition
Xiaoyu Liu, Caio Fabio Oliveira da Silva, Azita Dabiri +2
This paper focuses on passenger-oriented real-time train rescheduling, considering flexible train composition and rolling stock circulation, by integrating learning-based and optim…
Asynchronous distributed collision avoidance with intention consensus for inland autonomous ships
Hoang Anh Tran, Nikolai Lauvås, Tor Arne Johansen +1
This paper focuses on the problem of collaborative collision avoidance for autonomous inland ships. Two solutions are provided to solve the problem in a distributed manner. We firs…
Non-Minimum-Phase Resonant Controller for Active Damping Control: Application to Piezo-Actuated Nanopositioning System
Aditya M. Natu, S. Hassan HosseinNia
Nanopositioning systems frequently encounter limitations in control bandwidth due to their lightly damped resonance behavior. This paper presents a novel Non-Minimum-Phase Resonant…
Neural Continuous-Time Supermartingale Certificates
Grigory Neustroev, Mirco Giacobbe, Anna Lukina
We introduce for the first time a neural-certificate framework for continuous-time stochastic dynamical systems. Autonomous learning systems in the physical world demand continuous…
Adaptive Informed Deep Neural Networks for Power Flow Analysis
Zeynab Kaseb, Stavros Orfanoudakis, Pedro P. Vergara +1
This study introduces PINN4PF, an end-to-end deep learning architecture for power flow (PF) analysis that effectively captures the nonlinear dynamics of large-scale modern power sy…
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…