Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties-Reference-Cited by-同舟云学术

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Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties

Published:2024-06-25 Issue: Volume:2 Page:3777-3782
ISSN:
Container-title:2024 European Control Conference (ECC)
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Author:

Santoso Fendy¹,Garratt Matthew A.²,Anavatti Sreenatha G.²,Wang Jiefei²,Tran Phi Vu²,Ferdaus M. Meftahul³

Affiliation:

1. Artificial Intelligence and Cyber Futures Institute, Charles Sturt University,Canberra,ACT,Australia,2600

2. School of Engineering and Technology, University of New South Wales Canberra,Campbell,ACT,Australia,2612

3. University of New Orleans,Department of Computer Science,New Orleans,LA,United States,70148

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590709/10590710/10591274.pdf?arnumber=10591274

Reference21 articles.

1. State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles

2. Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone

3. Progress in adaptive control systems: past, present, and future

4. Autonomous Flight Control for Multi-Rotor UAVs Flying at Low Altitude

5. Trajectory tracking control of quadrotor UAV;Lee

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