Control analysis and synthesis of data-driven learning for uncertain linear systems
D Meng - Automatica, 2023 - Elsevier
This paper aims to deal with the control analysis and synthesis problem of data-driven
learning, regardless of unknown plant models and iteration-varying uncertainties. For the …
learning, regardless of unknown plant models and iteration-varying uncertainties. For the …
Research of the Manipulator Vibration Mode Under Variable Joint Impedance
H Feng, X Wang, X Hu, D Xu - 2024 IEEE 19th Conference on …, 2024 - ieeexplore.ieee.org
Manipulators are providing increasing convenience to human society due to their
advantages in loading and endurance. However, vibration restricts their further application …
advantages in loading and endurance. However, vibration restricts their further application …
Frequency-Domain Modeling-Free Iterative Learning Control for Point-To-Point Motion
Y Maeda, M Iwasaki - 2023 IEEE 32nd International …, 2023 - ieeexplore.ieee.org
The data-driven autonomous feedforward (FF) control design technique known as frequency-
domain modelling-free iterative learning control (MFILC) has gained attention for its ability to …
domain modelling-free iterative learning control (MFILC) has gained attention for its ability to …
Control analysis and synthesis of data-driven learning: A Kalman state-space approach
D Meng - arXiv preprint arXiv:2012.05643, 2020 - arxiv.org
This paper aims to deal with the control analysis and synthesis problem of data-driven
learning, regardless of unknown plant models and iteration-varying uncertainties. For the …
learning, regardless of unknown plant models and iteration-varying uncertainties. For the …
Model-free Multi-variable Learning Control of a Five Axis Nanopositioning Stage
T Sieswerda, AJ Fleming… - 2021 IEEE/ASME …, 2021 - ieeexplore.ieee.org
This article compares the performance of recently introduced learning control methods on a
5-axis nanopositioning stage. Of these methods, the Smoothed Model-Free Inversion-based …
5-axis nanopositioning stage. Of these methods, the Smoothed Model-Free Inversion-based …