TY  - BOOK
AU  - Fu,Song
ED  - SpringerLink (Online service)
TI  - 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings: Volume II 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9789819740109
AV  - TL1-4050 
U1  - 629.1 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Aerospace engineering
KW  - Astronautics
KW  - Mechanics
KW  - Aerospace Technology and Astronautics
KW  - Classical Mechanics
N1  - Adaptive backstepping Control of Morphing Aircraft Based on RBF Neural Networks -- Investigation of Flow Field and Performance of a Tandem Flapping Wing Micro Air Vehicle -- Rendering Involved and Machine Learning based Environment Interpretation Integrated Geometry and Image
N2  - This book is a compilation of peer-reviewed papers from the 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT2023). The symposium is a common endeavour among the four national aerospace societies in China, Australia, Korea and Japan, namely, Chinese Society of Aeronautics and Astronautics (CSAA), Royal Aeronautical Society Australian Division (RAeS Australian Division), Japan Society for Aeronautical and Space Sciences (JSASS) and Korean Society for Aeronautical and Space Sciences (KSAS). APISAT is an annual event initiated in 2009. It aims to provide the opportunity to Asia-Pacific nations for the researchers of universities and academic institutes, and for the industry engineers to discuss the current and future advanced topics in aeronautical and space engineering. This is the volume II of the proceedings
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-4010-9
ER  -