Aerospace technology is among the most forward-looking, highly integrated, and innovative fields in modern science and technology. It finds wide applications in the field of interplanetary exploration and communications, with navigation, guidance, and control technology playing a critical role in the safe and stable flight of aircraft. At the same time, the aerospace industry represents a country's economic and technological prowess and serves as a significant indicator of its comprehensive national dynamics and research capabilities, making it a top priority for development across the globe. The primary areas of aerospace industrialization comprise aircraft structures, materials, and dynamics design, coupled with various scientific technologies and theories. Development in intelligent manufacturing technology, advanced equipment, and autonomous intelligent control technology will further the process of aerospace industrialization and guide the aerospace industry towards intelligence, safety, efficiency, and sustainability.
With the rapid development of artificial intelligence (AI) technology, the civil and commercial aerospace industry is facing many challenges and problems, for example:
• how can data security be ensured and information shared?
• how can digital process design and intelligent production be achieved?
• how can AI be applied to achieve low energy usage and high-efficiency control?
This Research Topic is focused on highlighting current and future directions in aerospace industrialization, with advancements in different techniques, methods, and products specific to the field being of particular interest. The aim is to showcase academic developments whilst including direct applications to the industry, and it is hoped that this collection will bring together forward-thinking experts from interdisciplinary fields to highlight recent advancements and identify future objectives.
Topics of particular interest include, but are not limited to, the following:
• Intelligent design and manufacturing technologies
• Data security and information sharing technologies
• Fault diagnosis and fault tolerant control of aerospace vehicles
• Cooperative control of aerospace vehicles
• Data fusion
• Learning-based technologies in the aerospace industry
All manuscript types are welcome and new articles will be added to this collection as they are published.
Keywords:
#CollectionSeries, Aviation, Aircraft, Aerospace Engineering, Industrialization, Artificial Intelligence, Data Security, Digital Process Design, Intelligent Manufacturing Technologies, Data Fusion
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Aerospace technology is among the most forward-looking, highly integrated, and innovative fields in modern science and technology. It finds wide applications in the field of interplanetary exploration and communications, with navigation, guidance, and control technology playing a critical role in the safe and stable flight of aircraft. At the same time, the aerospace industry represents a country's economic and technological prowess and serves as a significant indicator of its comprehensive national dynamics and research capabilities, making it a top priority for development across the globe. The primary areas of aerospace industrialization comprise aircraft structures, materials, and dynamics design, coupled with various scientific technologies and theories. Development in intelligent manufacturing technology, advanced equipment, and autonomous intelligent control technology will further the process of aerospace industrialization and guide the aerospace industry towards intelligence, safety, efficiency, and sustainability.
With the rapid development of artificial intelligence (AI) technology, the civil and commercial aerospace industry is facing many challenges and problems, for example:
• how can data security be ensured and information shared?
• how can digital process design and intelligent production be achieved?
• how can AI be applied to achieve low energy usage and high-efficiency control?
This Research Topic is focused on highlighting current and future directions in aerospace industrialization, with advancements in different techniques, methods, and products specific to the field being of particular interest. The aim is to showcase academic developments whilst including direct applications to the industry, and it is hoped that this collection will bring together forward-thinking experts from interdisciplinary fields to highlight recent advancements and identify future objectives.
Topics of particular interest include, but are not limited to, the following:
• Intelligent design and manufacturing technologies
• Data security and information sharing technologies
• Fault diagnosis and fault tolerant control of aerospace vehicles
• Cooperative control of aerospace vehicles
• Data fusion
• Learning-based technologies in the aerospace industry
All manuscript types are welcome and new articles will be added to this collection as they are published.
Keywords:
#CollectionSeries, Aviation, Aircraft, Aerospace Engineering, Industrialization, Artificial Intelligence, Data Security, Digital Process Design, Intelligent Manufacturing Technologies, Data Fusion
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.