{"product_id":"highreliability-autonomous-management-systems-for-spacecraft-9780443132834","title":"High-Reliability Autonomous Management Systems for Spacecraft","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book explores the use of modern control technologies, such as artificial intelligence, to enable spacecraft to manage themselves autonomously, perceiving their state and environment without external input or control. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 200 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 01 August 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Elsevier - Health Sciences Division\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis captivating book delves into the realm of autonomous spacecraft management, employing cutting-edge control technologies like artificial intelligence to create a remote intelligent entity on board. Its primary objective is to enable the spacecraft to autonomously execute its flight tasks without the need for external information injection or control, minimizing reliance on external assistance as much as possible. By accurately perceiving its internal state and external environment, the spacecraft is able to make informed decisions based on this data and user-defined tasks. This empowers it to independently control its movements and perform a wide range of complex operations, showcasing the remarkable capabilities of autonomous systems in space exploration.\u003cbr\u003e\u003cbr\u003eThe book explores the theoretical foundations and practical implementations of autonomous spacecraft management. It discusses the challenges and opportunities associated with developing self-sufficient and intelligent spacecraft, including the need for robust perception systems, decision-making algorithms, and control strategies. It also highlights the importance of integrating artificial intelligence and machine learning techniques to enhance the spacecraft's autonomy and adaptability.\u003cbr\u003e\u003cbr\u003eThroughout the book, real-world case studies and examples are provided to illustrate the practical applications of autonomous spacecraft management. These case studies cover a diverse range of space missions, such as planetary exploration, satellite deployment, and space debris removal, showcasing the versatility and effectiveness of autonomous systems in space operations.\u003cbr\u003e\u003cbr\u003eIn conclusion, this book provides a comprehensive and insightful exploration of autonomous spacecraft management, offering valuable insights into the future of space exploration. It is a must-read for researchers, engineers, and space enthusiasts alike, as it sheds light on the potential of autonomous systems to revolutionize the way we explore and utilize the vastness of space.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 450g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 229 x 152 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780443132834\u003c\/p\u003e","brand":"JianjunZhang,JingLi","offers":[{"title":"Paperback \/ softback","offer_id":44526023082234,"sku":"9780443132834","price":142.8,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1692378873087_book.jpg?v=1693392724","url":"https:\/\/shulphink.com\/products\/highreliability-autonomous-management-systems-for-spacecraft-9780443132834","provider":"Shulph Ink","version":"1.0","type":"link"}