System Identification and Low-Order Optimal Control of Intersample Behavior in ILC von Oomen, T., van de Wijdeven, J., Bosgra, O. H.

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Frequency Response Function identification for multivariable motion control: Optimal experiment design with element-wise constraints von Dirkx, Nic, van de Wijdeven, Jeroen, Oomen, Tom

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Extremum Seeking With Enhanced Convergence Speed for Optimization of Time-Varying Steady-State Behavior of Industrial Motion Stages von Hazeleger, Leroy, van de Wijdeven, Jeroen, Haring, Mark, van de Wouw, Nathan

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Iterative Learning Control for uncertain systems: Robust monotonic convergence analysis von van de Wijdeven, Jeroen, Donkers, Tijs, Bosgra, Okko

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Extremum Seeking With Enhanced Convergence Speed for Optimization of Time-Varying Steady-State Behavior of Industrial Motion Stages von Hazeleger, Leroy, van de Wijdeven, Jeroen, Haring, Mark A. M., van de Wouw, Nathan

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Residual vibration suppression using Hankel iterative learning control von van de Wijdeven, Jeroen, Bosgra, Okko

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Guaranteeing Stability in Structured Input-Output Models: With Application to System Identification von Kon, Johan, Toth, Roland, van de Wijdeven, Jeroen, Heertjes, Marcel, Oomen, Tom

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Optimal Experiment Design for Multi-variable Motion Systems: with Application to a Next-Generation Wafer Stage von Dirkx, Nic, Wijdeven, Jeroen van de, Oomen, Tom

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Suppressing intersample behavior in iterative learning control von Oomen, Tom, van de Wijdeven, Jeroen, Bosgra, Okko

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Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control von Kon, Johan, de Vos, Naomi, Bruijnen, Dennis, van de Wijdeven, Jeroen, Heertjes, Marcel, Oomen, Tom

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Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification von Kon, Johan, van de Wijdeven, Jeroen, Bruijnen, Dennis, Tóth, Roland, Heertjes, Marcel, Oomen, Tom

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Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach von Kon, Johan, van de Wijdeven, Jeroen, Bruijnen, Dennis, Tóth, Roland, Heertjes, Marcel, Oomen, Tom

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Learning for Precision Motion of an Interventional X-ray System: Add-on Physics-Guided Neural Network Feedforward Control von Kon, Johan, de Vos, Naomi, Bruijnen, Dennis, van de Wijdeven, Jeroen, Heertjes, Marcel, Oomen, Tom

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Fault Detection for Precision Mechatronics: Online Estimation of Mechanical Resonances von Classens, Koen, Mostard, Mike, van de Wijdeven, Jeroen, (Maurice) Heemels, W.P.M.H., Oomen, Tom

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Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics von Kon, Johan, Bruijnen, Dennis, van de Wijdeven, Jeroen, Heertjes, Marcel, Oomen, Tom

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Physics-Guided Neural Networks for Feedforward Control: An Orthogonal Projection-Based Approach von Kon, Johan, Bruijnen, Dennis, van de Wijdeven, Jeroen, Heertjes, Marcel, Oomen, Tom

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A design approach for noncausal robust Iterative Learning Control using worst case disturbance optimisation von Donkers, T., van de Wijdeven, J., Bosgra, O.

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Extremum Seeking With Enhanced Convergence Speed for Optimization of Time-Varying Steady-State Behavior of Industrial Motion Stages von Hazeleger, Leroy, van de Wijdeven, Jeroen, Haring, Mark A. M, van de Wouw, Nathan

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Unconstrained Parameterization of Stable LPV Input-Output Models: with Application to System Identification von Kon, Johan, van de Wijdeven, Jeroen, Bruijnen, Dennis, Tóth, Roland, Heertjes, Marcel, Oomen, Tom

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Direct Learning for Parameter-Varying Feedforward Control: A Neural-Network Approach von Kon, Johan, van de Wijdeven, Jeroen, Bruijnen, Dennis, Tóth, Roland, Heertjes, Marcel, Oomen, Tom

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