4.2k citations
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
14 papers · 2 filters
Grammar-based Representation and Identification of Dynamical Systems
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
In this paper we propose a novel approach to identify dynamical systems. The method estimates the model structure and the parameters of the model simultaneously, automating the cri…
MATMPC - A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control
Yutao Chen, Mattia Bruschetta, Enrico Picotti +1
In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear model predictive control (NMPC). It is designed to facilitate modelling, controller design…
On the Simulation of Polynomial NARMAX Models
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
In this paper, we show that the common approach for simulation non-linear stochastic models, commonly used in system identification, via setting the noise contributions to zero res…
Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems
Maarten Schoukens, Roland Tóth
Linear parameter-varying (LPV) models form a powerful model class to analyze and control a (nonlinear) system of interest. Identifying an LPV model of a nonlinear system can be cha…
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples
Maarten Schoukens, Roland Tóth
Linear parameter-varying (LPV) models form a powerful model class to analyze and control a (nonlinear) system of interest. Identifying a LPV model of a nonlinear system can be chal…
Towards Efficient Maximum Likelihood Estimation of LPV-SS Models
Pepijn B. Cox, Roland Tóth, Mihály Petreczky
How to efficiently identify multiple-input multiple-output (MIMO) linear parameter-varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling vari…
A recursive estimation approach to distributed identification of large-scale multi-input-single-output FIR systems
Tom R. V. Steentjes, Mircea Lazar, Paul M. J. Van den Hof
The problem of identifying single modules in multiple-input-single-output (MISO) systems is considered. A novel approach to distributed identification of MISO finite impulse respon…
Identifying Position-Dependent Mechanical Systems: A Modal Approach Applied to a Flexible Wafer Stage
Robbert Voorhoeve, Robin de Rozario, Wouter Aangenent +1
Increasingly stringent performance requirements for motion control necessitate the use of increasingly detailed models of the system behavior. Motion systems inherently move, there…
Synthesis of Successful Actuator Attackers on Supervisors
Liyong Lin, Sander Thuijsman, Yuting Zhu +3
In this work, we propose and develop a new discrete-event based actuator attack model on the closed-loop system formed by the plant and the supervisor. We assume the actuator attac…
Multivariable Iterative Learning Control Design Procedures: from Decentralized to Centralized, Illustrated on an Industrial Printer
Lennart Blanken, Tom Oomen
Iterative Learning Control (ILC) enables high control performance through learning from measured data, using only limited model knowledge in the form of a nominal parametric model.…
Local module identification in dynamic networks: do more inputs guarantee smaller variance?
M. Mohsin Siraj, Max G. Potters, Paul M. J. Van den Hof
Recent developments in science and engineering have motivated control systems to be considered as interconnected and networked systems. From a system identification point of view,…
Extending the Best Linear Approximation Framework to the Process Noise Case
Maarten Schoukens, Rik Pintelon, Tadeusz P. Dobrowiecki +1
The Best Linear Approximation (BLA) framework has already proven to be a valuable tool to analyze nonlinear systems and to start the nonlinear modeling process. The existing BLA fr…
Affine Parameter-Dependent Lyapunov Functions for LPV Systems with Affine Dependence
Pepijn B. Cox, Siep Weiland, Roland Tóth
This paper deals with the certification problem for robust quadratic stability, robust state convergence, and robust quadratic performance of linear systems that exhibit bounded ra…
Feedforward Control of Magnetically Levitated Planar Actuators
T. Bloemers, I. Proimadis, Y. Kasemsinsup +1
The present report summarizes the work conducted during the internship on Feedforward Control of the Magnetic Levitation Setup. Different feedforward strategies, specifically tailo…