Improving Disturbance Estimation and Suppression via Learning Among Systems With Mismatched Dynamics-Reference-Cited by-同舟云学术

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Improving Disturbance Estimation and Suppression via Learning Among Systems With Mismatched Dynamics

Published:2024-06 Issue:6 Volume:9 Page:5238-5245
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Modi Harsh¹^ORCID,Chen Zhu²^ORCID,Liang Xiao³^ORCID,Zheng Minghui¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

2. Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, USA

3. Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/7083369/10504377/10504985-aam.pdf

Reference25 articles.

1. An overview of various kinds of wind effects on unmanned aerial vehicle

2. Unmanned aerial vehicles in construction and worker safety

3. Iterative Learning Control: Brief Survey and Categorization

4. An Optimization-Based Iterative Learning Control Design Method for UAV’s Trajectory Tracking

5. An intelligent parameter determination approach in iterative learning control

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. Grasping Force Control and Adaptation for a Cable-Driven Robotic Hand;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

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