Event-Triggered Fractional-Order Tracking Control for an Uncertain Nonlinear System With Output Saturation and Disturbances-Reference-Cited by-同舟云学术

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Event-Triggered Fractional-Order Tracking Control for an Uncertain Nonlinear System With Output Saturation and Disturbances

Published:2022 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Shao Shuyi¹^ORCID,Chen Mou²^ORCID,Zheng Sijia²,Lu Shumin²^ORCID,Zhao Qijun³

Affiliation:

1. College of Automation Engineering and the College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Jiangsu Province Science Foundation for Youths

China Postdoctoral Science Foundation

Jiangsu Province Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09940233.pdf?arnumber=9940233

Cited by 5 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. Adaptive finite‐time fuzzy secure control for nonlinear MASs under deception attacks;International Journal of Robust and Nonlinear Control;2024-03-07

2. Event-Triggered Robust Constrained Control of Uncertain Nonlinear Systems With Input Saturation Based on Self-Learning Disturbance Observer;IEEE Transactions on Instrumentation and Measurement;2024

3. Event-Triggered Predefined-Time Output Feedback Control for Fractional-Order Nonlinear Systems With Input Saturation;IEEE Transactions on Fuzzy Systems;2023-12

4. Approximate Optimal Tracking Control for Partially Unknown Nonlinear Systems via an Adaptive Fixed-Time Observer;Symmetry;2023-05-23

5. A Deep Learning Framework for Start–End Frame Pair-Driven Motion Synthesis;IEEE Transactions on Neural Networks and Learning Systems;2022

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