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Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles : Methods and Applications / / by Runqi Chai, Kaiyuan Chen, Lingguo Cui, Senchun Chai, Gokhan Inalhan, Antonios Tsourdos



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Autore: Chai Runqi Visualizza persona
Titolo: Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles : Methods and Applications / / by Runqi Chai, Kaiyuan Chen, Lingguo Cui, Senchun Chai, Gokhan Inalhan, Antonios Tsourdos Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (272 pages)
Disciplina: 629.12
Soggetto topico: Control engineering
Aerospace engineering
Astronautics
Computational intelligence
Mathematical optimization
Control and Systems Theory
Aerospace Technology and Astronautics
Computational Intelligence
Optimization
Altri autori: ChenKaiyuan  
CuiLingguo  
ChaiSenchun  
InalhanGokhan  
TsourdosAntonios  
Nota di contenuto: Part I Advanced trajectory optimization methods -- Chapter 1 Review of advanced trajectory optimization methods -- Chapter 2 Heurestic optimization-based trajectory optimization -- Chapter 3 Highly fidelity trajectory optimization -- Chapter 4 Fast trajectory optimization with chance constraints -- Chapter 5 Fast generation of chance-constrained flight trajectory for unmanned vehicles -- Part II Advanced guidance and control methods for aerospace vehicles -- Chapter 6 Review of advanced guidance and control methods -- Chapter 7 Optimization-based predictive G&C method -- Chapter 8 Robust model predictive control for attitude control tracking.
Sommario/riassunto: This book focuses on the design and application of advanced trajectory optimization and guidance and control (G&C) techniques for aerospace vehicles. Part I of the book focuses on the introduction of constrained aerospace vehicle trajectory optimization problems, with particular emphasis on the design of high-fidelity trajectory optimization methods, heuristic optimization-based strategies, and fast convexification-based algorithms. In Part II, various optimization theory/artificial intelligence (AI)-based methods are constructed and presented, including dynamic programming-based methods, model predictive control-based methods, and deep neural network-based algorithms. Key aspects of the application of these approaches, such as their main advantages and inherent challenges, are detailed and discussed. Some practical implementation considerations are then summarized, together with a number of future research topics. The comprehensive and systematic treatment of practical issues in aerospace trajectory optimization and guidance and control problems is one of the main features of the book, which is particularly suitable for readers interested in learning practical solutions in aerospace trajectory optimization and guidance and control. The book is useful to researchers, engineers, and graduate students in the fields of G&C systems, engineering optimization, applied optimal control theory, etc.
Titolo autorizzato: Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles  Visualizza cluster
ISBN: 981-9943-11-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910746962803321
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Serie: Springer Aerospace Technology, . 1869-1749