LMI-based robust adaptive neural network control for Euler–Bernoulli beam with uncertain parameters and disturbances-Reference-Cited by-同舟云学术

LMI-based robust adaptive neural network control for Euler–Bernoulli beam with uncertain parameters and disturbances

Published:2020-06-16 Issue:1 Volume:95 Page:1-10
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Xing Xueyan¹,Yang Hongjun²,Liu Jinkun¹^ORCID,Wang Shuquan³

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, People's Republic of China

2. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, People's Republic of China

3. Technology and Engineering Center for Space Utilization, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2020.1775306

Reference43 articles.

1. STABILITY ANALYSIS AND VIBRATION CONTROL OF A CLASS OF NEGATIVE IMAGINARY SYSTEMS

2. Chaotic Vibrations of Beams: Numerical Solution of Partial Differential Equations

3. Flutter Suppression Using Micro-Trailing Edge Effectors

4. Coordinated Control of Underwater Biomimetic Vehicle–Manipulator System for Free Floating Autonomous Manipulation

5. Adaptive neural network control of an arm-string system with actuator fault based on a PDE model

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