:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	van der Hulst, M., González, R. A., Classens, K., Tacx, P., Dirkx, N., van de Wijdeven, J., Oomen, T.
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2503.02869
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structured identification of multivariable modal systems
by: van der Hulst, Maarten, et al.
Published: (2025)

Identification of additive multivariable continuous-time systems
by: van der Hulst, Maarten, et al.
Published: (2025)

Nullspace-based Fault Diagnosis for Closed-Loop Mechatronic Systems with Application to Semiconductor Equipment
by: Classens, Koen, et al.
Published: (2026)

Statistically Optimal Structured Additive MIMO Continuous-time System Identification
by: González, Rodrigo A., et al.
Published: (2025)

Local Rational Modeling for Identification Beyond the Nyquist Frequency: Applied to a Prototype Wafer Stage
by: van Haren, Max, et al.
Published: (2025)

Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems
by: Classens, Koen, et al.
Published: (2025)

A Direct State-Space Realization of Discrete-Time Linear Parameter-Varying Input-Output Models
by: Kon, Johan, et al.
Published: (2025)

Feedback linearisation of mechanical systems using data-driven models
by: Floren, Merijn, et al.
Published: (2022)

Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification
by: Kon, Johan, et al.
Published: (2024)

Lifted Frequency-Domain Identification of Closed-Loop Multirate Systems: Applied to Dual-Stage Actuator Hard Disk Drives
by: van Haren, Max, et al.
Published: (2025)

Robust Commutation Design: Applied to Switched Reluctance Motors
by: van Meer, Max, et al.
Published: (2024)

Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification
by: González, Rodrigo A., et al.
Published: (2024)

Identification of Additive Continuous-time Systems in Open and Closed loop
by: González, Rodrigo A., et al.
Published: (2024)

Finite Sample MIMO System Identification with Multisine Excitation: Nonparametric, Direct, and Two-step Parametric Estimators
by: González, Rodrigo A., et al.
Published: (2025)

System Identification Beyond the Nyquist Frequency: A Kernel-Regularized Approach
by: van Haren, Max, et al.
Published: (2025)

Performance Analysis of Multirate Systems: A Direct Frequency-Domain Identification Approach
by: van Haren, Max, et al.
Published: (2025)

Kernel-based identification using Lebesgue-sampled data
by: González, Rodrigo A., et al.
Published: (2023)

Automatic Basis Function Selection in Iterative Learning Control: A Sparsity-Promoting Approach Applied to an Industrial Printer
by: Ickenroth, Tjeerd, et al.
Published: (2025)

Self-Calibrating Position Measurements: Applied to Imperfect Hall Sensors
by: van Meer, Max, et al.
Published: (2025)

A Frequency-Domain Approach for Enhanced Performance and Task Flexibility in Finite-Time ILC
by: van Haren, Max, et al.
Published: (2024)

Parameter-Varying Feedforward Control: A Kernel-Based Learning Approach
by: van Haren, Max, et al.
Published: (2025)

GraFIT: A toolbox for fast and accurate frequency response identification in Gravitational Wave Detectors
by: van Dael, Mathyn, et al.
Published: (2025)

Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency
by: González, Rodrigo A., et al.
Published: (2024)

Data-Efficient Quadratic Q-Learning Using LMIs
by: van Hulst, J. S., et al.
Published: (2024)

Compensating Hysteresis and Mechanical Misalignment in Piezo-Stepper Actuators
by: van Meer, Max, et al.
Published: (2025)

Scaled Graph Bounding Techniques for Reset Systems
by: de Groot, Timo, et al.
Published: (2026)

D-Optimized Sampling Design for System Identification
by: Dozzi, Enrico, et al.
Published: (2026)

Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control
by: Dinkla, Rogier, et al.
Published: (2024)

Data-enabled Predictive Repetitive Control
by: Dinkla, Rogier, et al.
Published: (2024)

Scaled Relative Graphs and Dynamic Integral Quadratic Constraints: Connections and Computations for Nonlinear Systems
by: de Groot, Timo, et al.
Published: (2026)

Smart Exploration in Reinforcement Learning using Bounded Uncertainty Models
by: van Hulst, J. S., et al.
Published: (2025)

The shortest experiment for linear system identification
by: Camlibel, M. Kanat, et al.
Published: (2024)

Towards a representer theorem for identification of passive systems
by: Shali, Brayan M., et al.
Published: (2024)

Folding Mixed-Integer Linear Programs and Reflection Symmetries
by: van der Hulst, Rolf
Published: (2026)

Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)

GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
by: van Laatum, Bart, et al.
Published: (2024)

Exploiting Structure in MIMO Scaled Graph Analysis
by: de Groot, Timo, et al.
Published: (2025)

Truncated Gaussian Noise Estimation in State-Space Models
by: González, Rodrigo A., et al.
Published: (2025)

MPC-based motion planning for non-holonomic systems in non-convex domains
by: Lorenzen, Matthias, et al.
Published: (2025)

Data-driven feedforward control design for nonlinear systems: A control-oriented system identification approach
by: Bolderman, Max, et al.
Published: (2023)