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Modeling and Optimization in Space Engineering

State of the Art and New Challenges

János D. Pintér (Hrsg.), Giorgio Fasano (Hrsg.)

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Sonstiges

Beschreibung

This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic and numerical solution aspects. The model development and optimization approaches discussed in the book can be extended also towards other application areas.

The topics discussed illustrate current research trends and challenges in space engineering as summarized by the following list:

 

•       Next Generation Gravity Missions

•       Continuous-Thrust Trajectories by Evolutionary Neurocontrol

•       Nonparametric Importance Sampling for Launcher Stage Fallout

•       Dynamic System Control Dispatch

•       OptimalLaunch Date of Interplanetary Missions

•       Optimal Topological Design

•       Evidence-Based Robust Optimization

•       Interplanetary Trajectory Design by Machine Learning

•       Real-Time Optimal Control

•       Optimal Finite Thrust Orbital Transfers

•       Planning and Scheduling of Multiple Satellite Missions

•       Trajectory Performance Analysis

•       Ascent Trajectory and Guidance Optimization

•        Small Satellite Attitude Determination and Control

•       Optimized Packings in Space Engineering

•       Time-Optimal Transfers of All-Electric GEO Satellites

 

Researchers working on space engineering applications will find this work a valuable, practical source of information. Academics, graduate and post-graduate students working in aerospace, engineering, applied mathematics, operations research, and optimal control will find useful information regarding model development and solution techniques, in conjunction with real-world applications.            

 


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Schlagwörter

Continuous-Thrust Trajectories, Multi-objective optimization and robust design, constellation optimization, space logistics, flexible systems in space, Hybrid propulsion transfers, Direct and indirect control applications, interplanetary exploration bases, mixed epistemic-aleatory uncertainties, TransWORHP, Dynamic System Control Dispatch, Sampling Techniques, space engineering, Monopropellant Space Thruster, trajectory optimization, Control Propellant Minimization, Global Optimization, WORHP Zen, Optimal Topological Design, lunar rover path optimization