Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing-Reference-Cited by-同舟云学术

Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing

Published:2021-10 Issue:10 Volume:68 Page:10258-10268
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Tran Vu Phi^ORCID,Santoso Fendy^ORCID,Garrat Matthew A.^ORCID,Anavatti Sreenatha G.^ORCID

Funder

Internal Research Grant

UNSW Canberra, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9469512/09209053.pdf?arnumber=9209053

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