Generalization of ILC for fixed order reference trajectories using interpolation. - Max Bolderman; Gerben Erens; Mircea Lazar; Hans Butler (AMC, 2021)

Physics-Guided Neural Networks for Inversion-based Feedforward Control applied to Linear Motors. - Max Bolderman; Mircea Lazar; Hans Butler (CCTA, 2021)

Physics-Guided Neural Networks for Feedforward Control: From Consistent Identification to Feedforward Controller Design*. - Max Bolderman; Mircea Lazar; Hans Butler (CDC, 2022)

On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization. - Max Bolderman; Mircea Lazar; Hans Butler (ECC, 2022)

Physics-guided neural networks for feedforward control: From consistent identification to feedforward controller design. - Max Bolderman; Mircea Lazar; Hans Butler (CoRR, 2022)

Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors*. - Daiwei Fan; Max Bolderman; Sjirk H. Koekebakker; Hans Butler; Mircea Lazar (CCTA, 2023)

Data-Driven Feedforward Control Design for Nonlinear Systems: A Control-Oriented System Identification Approach. - Max Bolderman; Mircea Lazar; Hans Butler (CDC, 2023)

Physics-guided neural networks for feedforward control with input-to-state stability guarantees. - Max Bolderman; Hans Butler; Sjirk H. Koekebakker; Eelco van Horssen; Ramidin Kamidi; Theresa Spaan-Burke; Nard Strijbosch; Mircea Lazar (CoRR, 2023)

Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors. - Daiwei Fan; Max Bolderman; Sjirk H. Koekebakker; Hans Butler; Mircea Lazar (CoRR, 2023)

Structured physics-guided neural networks for electromagnetic commutation applied to industrial linear motors. - Max Bolderman; Mircea Lazar; Hans Butler (CoRR, 2024)

Physics-guided gated recurrent units for inversion-based feedforward control. - Mingdao Lin; Max Bolderman; Mircea Lazar (CoRR, 2025)