A neural network approach to a cooperative balancing problem in Duadroto-Unmanned Aerial Vehicles (QUAVs)

Authors

Argel A. Bandala, De La Salle University, Manila
Reiichiro Christian S. Nakano, De La Salle University, Manila
Jose Martin Z. Maningo, De La Salle University, Manila
Gerald Ely U. Faelden, De La Salle University, Manila
Elmer Jose P. Dadios, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Article

Source Title

Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM))

First Page

1

Last Page

5

Publication Date

12-2015

Place of Publication

Cebu: The Institute of Electrical and Electronics Engineers Inc. (IEEE) - Philippine Section

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Recommended Citation

Bandala, A. A., Nakano, R. S., Maningo, J. Z., Faelden, G. U., & Dadios, E. P. (2015). A neural network approach to a cooperative balancing problem in Duadroto-Unmanned Aerial Vehicles (QUAVs). Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM)), 1-5. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/10256

Keywords

Drone aircraft; Neural networks (Computer science)

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

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