2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings [electronic resource] : Volume II / edited by Song Fu.

Colaborador(es): Fu, Song [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Electrical Engineering ; 1051Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XIX, 1971 p. 1599 illus., 1357 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819740109Tema(s): Aerospace engineering | Astronautics | Mechanics | Aerospace Technology and Astronautics | Classical MechanicsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.1 Clasificación LoC:TL1-4050Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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.

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