Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
NEURAL-NETWORK ADAPTIVE DECENTRALIZED FORMATION CONTROL
- Issue Date
- Sep-2022
- Publisher
- International Council of the Aeronautical Sciences
- Keywords
- adaptive control; decentralized formation control; Neural-networks
- Citation
- 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022, v.7, pp 5251 - 5262
- Pages
- 12
- Indexed
- SCOPUS
- Journal Title
- 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
- Volume
- 7
- Start Page
- 5251
- End Page
- 5262
- ISSN
- 0000-0000
- Abstract
- In this work, an adaptive decentralized formation control is proposed to cancel the effect of time-varying disturbances that enter the control input. A neural-network adaptive element is added to the input of the collective dynamics, maintaining the original structure of the decentralized formation control. In this way, the formation is controlled linearly, and the adaptive element provides disturbance rejection capabilities. © (2022) by International Council of Aeronautical Sciences (ICAS) All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 공학계열 > 기계항공우주공학부 > Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.