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Titlebook: Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles; Methods and Applicat Runqi Chai,Kaiyuan Chen,Anto

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發(fā)表于 2025-3-21 19:23:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles
期刊簡(jiǎn)稱Methods and Applicat
影響因子2023Runqi Chai,Kaiyuan Chen,Antonios Tsourdos
視頻videohttp://file.papertrans.cn/147/146388/146388.mp4
發(fā)行地址Introduces different optimization and guidance and control approaches to aerospace vehicle trajectory-related problems.Presents new optimization-based approaches for constrained aerospace vehicle guid
學(xué)科分類Springer Aerospace Technology
圖書(shū)封面Titlebook: Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles; Methods and Applicat Runqi Chai,Kaiyuan Chen,Anto
影響因子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 aerospa
Pindex Book 2023
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Bias in Studies on Diagnostic Performance,e constraints to settle the problem of unmanned vehicle path planning. A path-length-optimal trajectory optimization model is developed for unmanned vehicles, taking into account pitch angle constraints, curvature radius constraints, probabilistic control actuation constraints, and probabilistic col
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Analysis of Categorical Variables,tions. A dual-loop cascaded tracking control framework is established by designing a new nonlinear tube-based robust model predictive control (TRMPC) algorithm. The proposed TRMPC algorithm explicitly considers the effect of disturbances and applies tightened system constraints to predict the motion
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Runqi Chai,Kaiyuan Chen,Antonios TsourdosIntroduces different optimization and guidance and control approaches to aerospace vehicle trajectory-related problems.Presents new optimization-based approaches for constrained aerospace vehicle guid
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Springer Aerospace Technologyhttp://image.papertrans.cn/a/image/146388.jpg
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https://doi.org/10.1007/978-981-99-4311-1Aerospace vehicle; Trajectory optimization; Guidance and Control; Optimal control; Optimal guidance; AI-b
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