50 citations · 154 across the 71 of their papers we have counts for
45 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
Design, Modelling and Analysis of a Bio-inspired Spiking Temperature Regulator
J. M. Rosito, E. Petri, E. Steur +1
In biology, homeostasis is the process of maintaining a stable internal environment, which is crucial for optimal functioning of organisms. One of the key homeostatic mechanisms is…
Leveraging Non-Steady-State Frequency-Domain Data in Willems' Fundamental Lemma
T. J. Meijer, M. Wind, V. S. Dolk +1
Willems' fundamental lemma enables data-driven analysis and control by characterizing an unknown system's behavior directly in terms of measured data. In this work, we extend a rec…
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…
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…