Volume II Fu, Song. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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electronic resource

access XIX, 1971 p. 1599 illus., 1357 illus. in color. online resource. 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. 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. edited by Song Fu. Aerospace engineering Astronautics Mechanics Aerospace Technology and Astronautics Classical Mechanics TL1-4050 9789819740109 https://doi.org/10.1007/978-981-97-4010-9 https://doi.org/10.1007/978-981-97-4010-9 240705 20251030112616.0 978-981-97-4010-9