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{ "item_title" : "Space Engineering", "item_author" : [" Giorgio Fasano", "János D. Pintér "], "item_description" : "This book presents a selection of advanced case studies that cover a substantial range of issues and real-world challenges and applications in space engineering. Vital mathematical modeling, optimization methodologies and numerical solution aspects of each application case study are presented in detail, with discussions of a range of advanced model development and solution techniques and tools.Space engineering challenges are discussed in the following contexts:-Advanced Space Vehicle Design-Computation of Optimal Low Thrust Transfers-Indirect Optimization of Spacecraft Trajectories-Resource-Constrained Scheduling,-Packing Problems in Space-Design of Complex Interplanetary Trajectories-Satellite Constellation Image Acquisition-Re-entry Test Vehicle Configuration Selection-Collision Risk Assessment on Perturbed Orbits-Optimal Robust Design of Hybrid Rocket Engines-Nonlinear Regression Analysis in Space Engineering-Regression-Based Sensitivity Analysis and Robust Design-Low-Thrust Multi-Revolution Orbit Transfers-Modeling and Optimization of Balance Layout Problems-Pilot-Induced Oscillations Alleviation-Modeling and Optimization of Hybrid Transfers to Near-Earth Objects-Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite-Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity OperationsThe contributing authors are expert researchers and practitioners in either the space engineering and/or in the applied optimization fields. Researchers and practitioners working in various applied aspects of space engineering will find this book practical and informative. Academics, graduate and post-graduate students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control, will find this book useful.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/982/370/3319823701_b.jpg", "price_data" : { "retail_price" : "129.99", "online_price" : "129.99", "our_price" : "129.99", "club_price" : "129.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Space Engineering|Giorgio Fasano

Space Engineering : Modeling and Optimization with Case Studies

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Overview

This book presents a selection of advanced case studies that cover a substantial range of issues and real-world challenges and applications in space engineering. Vital mathematical modeling, optimization methodologies and numerical solution aspects of each application case study are presented in detail, with discussions of a range of advanced model development and solution techniques and tools.

Space engineering challenges are discussed in the following contexts:

-Advanced Space Vehicle Design

-Computation of Optimal Low Thrust Transfers

-Indirect Optimization of Spacecraft Trajectories

-Resource-Constrained Scheduling,

-Packing Problems in Space

-Design of Complex Interplanetary Trajectories

-Satellite Constellation Image Acquisition

-Re-entry Test Vehicle Configuration Selection

-Collision Risk Assessment on Perturbed Orbits

-Optimal Robust Design of Hybrid Rocket Engines

-Nonlinear Regression Analysis in Space Engineering

-Regression-Based Sensitivity Analysis and Robust Design

-Low-Thrust Multi-Revolution Orbit Transfers

-Modeling and Optimization of Balance Layout Problems

-Pilot-Induced Oscillations Alleviation

-Modeling and Optimization of Hybrid Transfers to Near-Earth Objects

-Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite

-Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations

The contributing authors are expert researchers and practitioners in either the space engineering and/or in the applied optimization fields. Researchers and practitioners working in various applied aspects of space engineering will find this book practical and informative. Academics, graduate and post-graduate students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control, will find this book useful.

This item is Non-Returnable

Details

  • ISBN-13: 9783319823706
  • ISBN-10: 3319823701
  • Publisher: Springer
  • Publish Date: July 2018
  • Dimensions: 9.21 x 6.14 x 1.01 inches
  • Shipping Weight: 1.54 pounds
  • Page Count: 487

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