Control-relevant neural networks for feedforward control with preview: Applied to an industrial flatbed printer

Cross-coupled iterative learning control: A computationally efficient approach applied to an industrial flatbed printer

Feedforward Control in the Presence of Input Nonlinearities: With Application to a Wirebonder

How to use participatory design to develop an eHealth intervention to reduce preprocedural stress and anxiety among children visiting the hospital: The Hospital Hero app multi-study and pilot report

Evaluating the Targeting of a Staphylococcus-aureus-Infected Implant with a Radiolabeled Antibody In Vivo

Rational Basis Functions in Iterative Learning Control for Multivariable Systems

White matter changes measured by multi-component MR Fingerprinting in multiple sclerosis

Multi-echo gradient echo pulse sequences: which is best for PRFS MR thermometry guided hyperthermia?

Het effect van wrijvingsreductie methoden in de Triaxiale Cyclische Drukproef op Asfalt (weerstand tegen permanente vervorming): EN 12697-25:2005 versus EN 12697-25:2016, Method B: triaxial Cyclic Compression

The Design of a Persuasive Game to Motivate People with Asthma in Adherence to Their Maintenance Medication

Developing a Digital Medication Adherence Intervention for and With Patients With Asthma and Low Health Literacy: Protocol for a Participatory Design Approach

MR Vascular Fingerprinting with Hybrid Gradient–Spin Echo Dynamic Susceptibility Contrast MRI for Characterization of Microvasculature in Gliomas

Skeleton curve and phantom node method for the Thick Level Set approach to fracture

Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder

Cross-Coupled Iterative Learning Control for Complex Systems: A Monotonically Convergent and Computationally Efficient Approach

Position-Dependent Snap Feedforward: A Gaussian Process Framework

Gaussian Processes for Advanced Motion Control

Gaussian Processes for Advanced Motion Control

Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting

Feedforward Control in the Presence of Input Nonlinearities: A Learning-based Approach