50 citations · 154 across the 71 of their papers we have counts for
75 papers
Robust stabilization with spiking neuronal communication
Elena Petri, Romain Postoyan, Erik Steur +2
Neuromorphic engineering develops hardware and software systems inspired by biological neurons, with the goal of achieving energy-efficient, low-latency, robust, and adaptive compu…
Precision Specimen Positioning in Electron Microscopy through Hysteresis Compensation, Iterative Learning, and Vision-Based Sensing
J. S. van Hulst, A. M. C. de Peffer, D. Herceg +4
Electron microscopy requires nanometer-scale specimen positioning over a long stroke. Piezo-stepper actuators are well suited for this task, but their accuracy is limited by hyster…
Constructing VAE Latent Spaces with Prescribed Topology
Jilles S. van Hulst, Jakub M. Tomczak, W. P. M. H. Heemels +1
Variational autoencoders (VAEs) learn low-dimensional latent representations of high-dimensional data. When the data lies on a manifold with non-Euclidean topology, the standard Ga…
Estimating Evolving Functions with Dynamic Gaussian Processes
J. S. van Hulst, W. P. M. H. Heemels, D. J. Antunes
This paper develops the Dynamic Gaussian Process (DGP), a framework for estimating functions governed by integro-difference equations (IDEs). IDEs model continuous functions that e…
Consistent Distributed Cooperative Localization for Ultra Large-Scale Multi-agent Systems
Leonardo Pedroso, W. P. M. H. Heemels, Pedro Batista
Cooperative localization (CL) is fundamental in emerging multi-agent systems, where agents fuse local sensing data with exchanged information to estimate their own states. At a lar…
Scaled Graph Bounding Techniques for Reset Systems
Timo de Groot, Maurice Heemels, Tom Oomen +1
Reset systems can overcome fundamental limitations of linear time-invariant control. The recently introduced notion of scaled (relative) graphs provides a promising framework for d…
Nullspace-based Fault Diagnosis for Closed-Loop Mechatronic Systems with Application to Semiconductor Equipment
Koen Classens, Jeroen van de Wijdeven, Maurice Heemels +1
Fault detection and isolation (FDI) systems are critical for modern mechatronic production equipment, as their continuous operation is heavily dependent on the ability to detect an…
Learning myopic mixed-integer nonlinear model predictive control from expert demonstrations
Christopher Anthony Orrico, W. P. M. H. Heemels, Dinesh Krishnamoorthy
Applying nonlinear model predictive control (NMPC) to systems with hybrid dynamics or discrete actions typically yields mixed-integer nonlinear programs (MINLPs), whose real-time s…
Fuelling fusion plasmas with pellets: Can neuromorphic control outperform Sigma-Delta modulation?
L. L. T. C. Jansen, E. Petri, M. van Berkel +1
Nuclear fusion is a promising clean energy source in which deuterium and tritium fuse inside a magnetically confined plasma in a tokamak, releasing energy. A key challenge on the r…
Scaled Relative Graphs and Dynamic Integral Quadratic Constraints: Connections and Computations for Nonlinear Systems
Timo de Groot, Tom Oomen, W. P. M. H. Heemels +1
Scaled relative graphs (SRGs) enable graphical analysis and design of nonlinear systems. In this paper, we present a systematic approach for computing both soft and hard SRGs of no…
Analysis and Design of Reset Control Systems via Base Linear Scaled Graphs
T. de Groot, W. P. M. H. Heemels, S. J. A. M. van den Eijnden
In this letter, we prove that under mild conditions, the scaled graph of a reset control system is bounded by the scaled graph of its underlying base linear system, i.e., the syste…
A Unified Family-optimal Solution to Covariance Intersection Problems with Semidefinite Programming
Leonardo Pedroso, W. P. M. H. Heemels, Pedro Batista
Covariance intersection (CI) methods provide a principled approach to fusing estimates with unknown cross-correlations by minimizing a worst-case measure of uncertainty that is con…
Bridging the Simulation-to-Reality Gap in Electron Microscope Calibration via VAE-EM Estimation
Jilles S. van Hulst, W. P. M. H. Heemels, Duarte J. Antunes
Electron microscopy has enabled many scientific breakthroughs across multiple fields. A key challenge is the tuning of microscope parameters based on images to overcome optical abe…
Token Economy for Fair and Efficient Dynamic Resource Allocation in Congestion Games
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
Self-interested behavior in sharing economies often leads to inefficient aggregate outcomes compared to a centrally coordinated allocation, ultimately harming users. Yet, centraliz…
Overlapping Covariance Intersection: Fusion with Partial Structural Knowledge of Correlation from Multiple Sources
Leonardo Pedroso, Pedro Batista, W. P. M. H. Heemels
Emerging large-scale engineering systems rely on distributed fusion for situational awareness, where agents combine noisy local sensor measurements with exchanged information to ob…
Safe Feedback Optimization through Control Barrier Functions
Giannis Delimpaltadakis, Pol Mestres, Jorge Cortés +1
Feedback optimization refers to a class of methods that steer a control system to a steady state that solves an optimization problem. Despite tremendous progress on the topic, an i…
Solution Concepts and Existence Results for Hybrid Systems with Continuous-time Inputs
W. P. M. H. Heemels, R. Postoyan, P. Bernard +2
In many scenarios, it is natural to model a plant's dynamical behavior using a hybrid dynamical system influenced by exogenous continuous-time inputs. While solution concepts and a…
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.…
Observer Design for Networked Linear Systems with Fast and Slow Dynamics under Measurement Noise
Weixuan Wang, Alejandro I. Maass, Dragan Nešić +3
This paper addresses the emulation-based observer design for networked control systems (NCS) with linear plants that operate at two time scales in the presence of measurement noise…
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games -- Part II: Stability
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
We study a dynamic game with a large population of players who choose actions from a finite set in continuous time. Each player has a state in a finite state space that evolves sto…
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games -- Part I: Equilibria
Leonardo Pedroso, Andrea Agazzi, W. P. M. H. Heemels +1
We study a dynamic game with a large population of players who choose actions from a finite set in continuous time. Each player has a state in a finite state space that evolves sto…
Emulation-based Neuromorphic Control for the Stabilization of LTI Systems
Elena Petri, Koen J. A. Scheres, Erik Steur +2
Neuromorphic engineering aims at designing computing and control systems inspired by the neurons and the brain. For the control community, neuromorphic control is an emerging topic…
Data-Driven Stabilization Using Prior Knowledge on Stabilizability and Controllability
Amir Shakouri, Henk J. van Waarde, Tren M. J. T. Baltussen +1
In this work, we study data-driven stabilization of linear time-invariant systems using prior knowledge of system-theoretic properties, specifically stabilizability and controllabi…
MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty
Christopher A. Orrico, Hari Prasad Varadarajan, Matthijs van Berkel +4
Control of the density profile based on pellet fueling for the ITER nuclear fusion tokamak involves a multi-rate nonlinear system with safety-critical constraints, input delays, an…