• Publications
  • Influence
Batch-to-Batch Rational Feedforward Control: From Iterative Learning to Identification Approaches, With Application to a Wafer Stage
TLDR
A framework is introduced for batch-to-batch feedforward control from a system identification perspective. Expand
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Rational Basis Functions in Iterative Learning Control—With Experimental Verification on a Motion System
  • J. Bolder, T. Oomen
  • Mathematics, Computer Science
  • IEEE Transactions on Control Systems Technology
  • 1 March 2015
TLDR
This brief introduces rational basis functions in ILC for single-input single-output systems. Expand
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  • 6
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Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage
TLDR
In this paper, a novel framework for next-generation motion control was presented and implemented on an industrial wafer stage system. Expand
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Frequency-Domain ILC Approach for Repeating and Varying Tasks: With Application to Semiconductor Bonding Equipment
Iterative learning control (ILC) enables high performance for exactly repeating tasks in motion systems. Besides such tasks, many motion systems also exhibit varying tasks. In such cases, ILCExpand
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Analyzing iterations in identification with application to nonparametric H∞-norm estimation
TLDR
An iterative approach for nonparametric H∞-norm estimation that addresses both additive stochastic disturbances and input normalization. Expand
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Inferential Motion Control: Identification and Robust Control Framework for Positioning an Unmeasurable Point of Interest
TLDR
We propose an inferential motion control framework that explicitly deals with the distinction between performance variables and measured variables. Expand
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Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System
TLDR
Iterative feedback tuning (IFT) enables the data-driven tuning of controller parameters without the explicit need for a parametric model. Expand
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System identification for achieving robust performance
TLDR
We propose new robust-control-relevant and (W"u,W"y)-normalized coprime factorizations for system identification for robust control. Expand
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Optimally conditioned instrumental variable approach for frequency-domain system identification
TLDR
We propose a new algorithm for parametric system identification with favorable convergence properties and optimal numerical conditioning. Expand
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Estimating disturbances and model uncertainty in model validation for robust control
  • T. Oomen, O. Bosgra
  • Computer Science
  • 47th IEEE Conference on Decision and Control
  • 1 December 2008
TLDR
Deterministic approaches to model validation for robust control are investigated. Expand
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