Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems-Reference-Cited by-同舟云学术

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Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems

Published:2022-12-11 Issue: Volume: Page:
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Container-title:2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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Author:

Patan Maciej¹,Klimkowicz Kamil²,Patan Krzysztof¹

Affiliation:

1. Institute of Control and Computation Engineering, University of Zielona,Góra,Poland

2. Institute of Control Electronic and Electric Engineering, University of Zielona,Góra,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004370.pdf?arnumber=10004370

Reference31 articles.

1. Robust Iterative Learning Control Design: Application to a Robot Manipulator

2. Iterative Learning Control: Brief Survey and Categorization

3. Iterative learning control in health care: electrical stimulation and robotic-assisted upper-limb stroke rehabilitation;freeman;Control Systems IEEE,2012

4. An adaptive output feedback motion tracking controller for robot manipulators: Uniform global asymptotic stability and experimentation

5. OPTIMAL LOCATION OF DISCRETE SCANNING SENSORS FOR PARAMETER ESTIMATION OF DISTRIBUTED SYSTEMS

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Echo-state-network-based iterative learning control of distributed systems;IFAC-PapersOnLine;2023

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