Tae Tom Oomen

发表

Advanced motion control for next-generation precision mechatronics: Challenges for control, identification, and learning

Tae Tom Oomen, T. Oomen, 2017 .

High performance beyond-rigid-body control of next-generation Flexible Stages

Tae Tom Oomen, Okko Bosgra, van Rma Robbert Herpen, 2009 .

Global feedforward control of spatio-temporal mechanical systems: with application to a prototype wafer stage

Tae Tom Oomen, Robin de Rozario, R. J. Voorhoeve, 2017 .

Dealing with Flexible Modes in 6 DOFs Robust Servo Control

Tae Tom Oomen, Okko H. Bosgra, 2007 .

Optimal Digital Control of Analog Systems

Tae Tom Oomen, Okko Bosgra, van de Mmj Marc Wal, 2005 .

Stable inversion of LPTV systems with application in position-dependent and non-equidistantly sampled systems

Tae Tom Oomen, Jcd Jurgen van Zundert, 2019, Int. J. Control.

Iterative learning control with rational basis functions

M Maarten Steinbuch, Tae Tom Oomen, Okko H. Bosgra, 2013 .

A local rational model approach for H ∞ norm estimation:With application to an active vibration isolation system

Tae Tom Oomen, E Geerardyn, 2017 .

Robust Active Vibration Isolation: A Multivariable Data-Driven Approach

Tae Tom Oomen, Rjr Rick van der Maas, 2014 .

Learning control systems for high performance printing

M Maarten Steinbuch, Tae Tom Oomen, Okko H. Bosgra, 2012 .

Non-parametric identification of multivariable systems: A local rational modeling approach with application to a vibration isolation benchmark

Tae Tom Oomen, R. J. Voorhoeve, Annemiek van der Maas, 2018 .

Resource-efficient ILC for LTI/LTV systems through LQ tracking and stable inversion: enabling large feedforward tasks on a position-dependent printer

Tae Tom Oomen, Jcd Jurgen van Zundert, Jj Joost Bolder, 2016 .

Identifying a C-arc medical X-ray system : a 2D-LRM approach

Tae Tom Oomen, R. J. Voorhoeve, Rjr Rick van der Maas, 2016 .

Essential challenges in motion control education

Tae Tom Oomen, Antonio Visioli, Martin Goubej, 2019, IFAC-PapersOnLine.

Model-based control design for inferential and over-actuated control of lightweight motion systems

Tae Tom Oomen, Okko H. Bosgra, Mmj Marc van de Wal, 2012 .

On Optimal Feedforward and ILC: The Role of Feedback for Optimal Performance and Inferential Control

Tae Tom Oomen, Jcd Jurgen van Zundert, 2017 .

Subspace predictive repetitive control to mitigate periodic loads on large scale wind turbines

Tae Tom Oomen, St Navalkar, van Jw Wingerden, 2014 .

Synchronizing decentralized control loops for overall performance enhancement : a Youla framework applied to a wafer scanner

Tae Tom Oomen, Enzo Evers, Mmj Marc van de Wal, 2017 .

Experimental estimation of transmissibility matrices for industrial multi-axis vibration isolation systems

Tae Tom Oomen, MF Marcel Heertjes, MA Michiel Beijen, 2018, Mechanical Systems and Signal Processing.

Well-posed model quality estimation by design of validation experiments

Tae Tom Oomen, Okko H. Bosgra, 2009 .

Iterative learning control for varying tasks

Tae Tom Oomen, Jj Joost Bolder, Sh Sjirk Koekebakker, 2015 .

Inverting nonminimum-phase systems from the perspectives of feedforward and ILC

Tae Tom Oomen, Jcd Jurgen van Zundert, T. Oomen, 2017 .

Estimating the H-infinity gain of an active vibration isolation system using local rational models

Tae Tom Oomen, Johan Schoukens, Egon Geerardyn, 2014 .

Advanced feedforward and learning control for mechatronic systems

M Maarten Steinbuch, Tae Tom Oomen, Lennart Blanken, 2016 .

Feedforward control and feedforward-relevant identification for motion systems

M Maarten Steinbuch, Tae Tom Oomen, Faj Frank Boeren, 2013 .

On inversion-based approaches for feedforward and ILC

Tae Tom Oomen, Jcd Jurgen van Zundert, T. Oomen, 2017 .

Multivariable data-driven uncertainty modeling for robust active vibration isolation

Tae Tom Oomen, Rjr Rick van der Maas, 2013 .

Introduction to the special issue on control of high-precision motion systems (editorial)

Tae Tom Oomen, Mf Marcel Heertjes, D Trumper, 2014 .

Robust Beyond-Rigid-Body Control of Next Generation Wafer Stages

Tae Tom Oomen, van Rma Robbert Herpen, van de Mmj Marc Wal, 2009 .

Dealing with Flexible Modes in 6 DOFs Robust Control

Tae Tom Oomen, Okko H. Bosgra, 2007 .

Using iterative learning control with basis functions to compensate medium deformation in a wide-format inkjet printer

M Maarten Steinbuch, Tae Tom Oomen, Jj Joost Bolder, 2014 .

Identification of control-relevant diesel engine models using a local linear parametric approach

Tae Tom Oomen, Tac Thijs van Keulen, LI Huijben, 2017 .

Exploiting additional actuators and sensors for nano-positioning robust motion control

M Maarten Steinbuch, Tae Tom Oomen, Whtm Wouter Aangenent, 2014 .

Inferential iterative learning control : internal stability and performance aspects

M Maarten Steinbuch, Tae Tom Oomen, Jj Joost Bolder, 2014 .

Resource efficient ILC: enabling large tasks on an industrial position-dependent flatbed printer

Tae Tom Oomen, Jcd Jurgen van Zundert, Jj Joost Bolder, 2016 .

Estimating structural deformations for inferential control: a disturbance observer approach

Tae Tom Oomen, R. J. Voorhoeve, Whtm Wouter Aangenent, 2016 .

Towards Model Order Selection in View of Robust Control for Motion Systems with Dominant Flexible Dynamics

Tae Tom Oomen, Okko H. Bosgra, van Rma Robbert Herpen, 2010 .

Enhancing H-infinity norm estimation using local LPM/LRM modeling : application to an AVIS

Tae Tom Oomen, Johan Schoukens, Egon Geerardyn, 2014 .

The RRR-robot feedback control design via iterative feedback tuning

Tae Tom Oomen, T. Oomen, 2003 .

Identification for robust control of complex systems : algorithm and motion application

M Maarten Steinbuch, Tae Tom Oomen, M. Steinbuch, 2015 .

On numerically reliable frequency-domain system identification: new connections and a comparison of methods

M Maarten Steinbuch, Tae Tom Oomen, R. J. Voorhoeve, 2014 .

Numerically Reliable Frequency-Domain Estimation of Transfer Functions: A Computationally Efficient Methodology

Tae Tom Oomen, Okko Bosgra, Rma Robbert van Herpen, 2012 .