On interval tracking performance evaluation and practical varying sampling ILC
DOI10.1080/00207721.2016.1277409zbMath1362.93099OpenAlexW2568224194MaRDI QIDQ5347380
Dong Shen, Yun Xu, Youqing Wang
Publication date: 23 May 2017
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2016.1277409
sampled-data controliterative learning controlinter-sample error boundpractical varying samplingtolerant tracking performance
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Sampled-data control/observation systems (93C57) Control/observation systems governed by ordinary differential equations (93C15)
Cites Work
- A global robust iterative learning position control for current-fed permanent magnet step motors
- On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths
- Suppressing intersample behavior in iterative learning control
- Convergence and robustness of discrete time nonlinear systems with iterative learning control
- Linear and nonlinear iterative learning control
- ILC for networked nonlinear systems with unknown control direction through random lossy channel
- Sampled-data iterative learning control with well-defined relative degree
- A sampled-data iterative learning control using fuzzy network design
- System Identification and Low-Order Optimal Control of Intersample Behavior in ILC
- Varying-Order Sampled-Data Iterative Learning Control for MIMO Nonlinear Systems
- Design framework for high-performance optimal sampled-data control with application to a wafer stage
- Sampled-data iterative learning control for nonlinear systems with arbitrary relative degree
This page was built for publication: On interval tracking performance evaluation and practical varying sampling ILC
