Deep networks as approximators of optimal low-thrust and multi-impulse cost in multitarget missions
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Dario Izzo | Hexi Baoyin | Haiyang Li | Shiyu Chen | D. Izzo | H. Baoyin | Shiyu Chen | Haiyang Li
[1] Marc D. Rayman,et al. MISSION DESIGN FOR DEEP SPACE 1 : A LOW-THRUST TECHNOLOGY VALIDATION MISSION , 1999 .
[2] Jonathan P. How,et al. Spacecraft Formation Flying: Dynamics, Control and Navigation , 2009 .
[3] Dario Izzo,et al. Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects , 2017, HAIS.
[4] Christopher T. Russell,et al. The Dawn Mission to Minor Planets 4 Vesta and 1 Ceres , 2012 .
[5] Dario Izzo,et al. Evolving Solutions to TSP Variants for Active Space Debris Removal , 2015, GECCO.
[6] Dario Izzo,et al. Designing Complex Interplanetary Trajectories for the Global Trajectory Optimization Competitions , 2015, 1511.00821.
[7] Gerald R. Hintz,et al. Survey of Orbit Element Sets , 2008 .
[8] N. Johnson,et al. Instability of the Present LEO Satellite Populations , 2008 .
[9] Hongwei Yang,et al. Fast Homotopy Method for Asteroid Landing Trajectory Optimization Using Approximate Initial Costates , 2019 .
[10] Yoshua Bengio,et al. Practical Recommendations for Gradient-Based Training of Deep Architectures , 2012, Neural Networks: Tricks of the Trade.
[11] K. Alfriend,et al. Solar Sail Body-Fixed Hovering over Elongated Asteroids , 2016 .
[12] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[13] Bruce A. Conway,et al. Particle Swarm Optimization Applied to Space Trajectories , 2010 .
[14] Francesco Topputo,et al. Deep neural networks of Optimal Low-Thrust Orbit Raising , 2019 .
[15] Yoshua Bengio,et al. Algorithms for Hyper-Parameter Optimization , 2011, NIPS.
[16] Hao Peng,et al. Artificial Neural Network–Based Machine Learning Approach to Improve Orbit Prediction Accuracy , 2018 .
[17] N. Johnson,et al. THE KESSLER SYNDROME: IMPLICATIONS TO FUTURE SPACE OPERATIONS , 2010 .
[18] Hexi Baoyin,et al. Finite-time control for asteroid hovering and landing via terminal sliding-mode guidance , 2017 .
[19] Hexi Baoyin,et al. J2-Perturbed Multitarget Rendezvous Optimization with Low Thrust , 2017 .
[20] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[21] Hao Sun,et al. Problem A of the 9th China trajectory optimization competition: Results found at Tsinghua University , 2018 .
[22] Lorenzo Casalino. Approximate Optimization of Low-Thrust Transfers Between Low-Eccentricity Close Orbits , 2014 .
[23] Johannes Benkhoff,et al. BepiColombo—Comprehensive exploration of Mercury: Mission overview and science goals , 2010 .
[24] Jingyang Li,et al. Dynamics and control for contactless interaction between spacecraft and tumbling debris , 2018 .
[25] Daniel J. Scheeres,et al. Leveraging Artificial Neural Networks to Systematically Explore Solar Gravity Driven Transfers in the Martian System , 2019, The Journal of the Astronautical Sciences.
[26] Dario Izzo,et al. The Kessler Run: On the Design of the GTOC9 Challenge , 2018 .
[27] Robert W. Farquhar,et al. Extended-mission opportunities for a Discovery-class asteroid rendezvous mission , 1993 .
[28] Dario Izzo,et al. Machine learning and evolutionary techniques in interplanetary trajectory design , 2018, Springer Optimization and Its Applications.
[29] B. Conway,et al. Particle swarm optimization applied to impulsive orbital transfers , 2012 .
[30] Guo-Jin Tang,et al. Optimal multi-objective linearized impulsive rendezvous under uncertainty , 2010 .
[31] Hexi Baoyin,et al. Practical Techniques for Low-Thrust Trajectory Optimization with Homotopic Approach , 2012 .
[32] Xiangyuan Zeng,et al. Fast solar sail rendezvous mission to near Earth asteroids , 2014 .
[33] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[34] Dario Izzo,et al. 1st ACT global trajectory optimisation competition: Problem description and summary of the results , 2007 .
[35] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[36] Damon Landau,et al. GTOC9: Methods and Results from the Jet Propulsion Laboratory Team , 2017 .
[37] Bong Wie,et al. Planetary defense mission concepts for disrupting/pulverizing hazardous asteroids with short warning time , 2017 .
[38] L. Casalino,et al. Fast Evaluation and Optimization of Low-Thrust Transfers to Multiple Targets , 2015 .
[39] Theodore N. Edelbaum,et al. Propulsion Requirements for Controllable Satellites , 1961 .
[40] Lin Cheng,et al. Real-Time Optimal Control for Spacecraft Orbit Transfer via Multiscale Deep Neural Networks , 2019, IEEE Transactions on Aerospace and Electronic Systems.
[41] H. Baoyin,et al. Multi-rendezvous low-thrust trajectory optimization using costate transforming and homotopic approach , 2018 .
[42] Akira Fujiwara,et al. Hayabusa—Its technology and science accomplishment summary and Hayabusa-2 , 2006 .
[43] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[44] Fanghua Jiang,et al. Improving Low-Thrust Trajectory Optimization by Adjoint Estimation with Shape-Based Path , 2017 .
[45] Y. Lei,et al. Optimal Multi-Objective Linearized Impulsive Rendezvous , 2007 .
[46] Francesco Topputo,et al. Low-Thrust Minimum-Fuel Optimization in the Circular Restricted Three-Body Problem , 2015 .
[47] Andrew F. Cheng,et al. The NEAR shoemaker mission to asteroid 433 eros , 2002 .
[48] Dario Izzo,et al. Fast approximators for optimal low-thrust hops between main belt asteroids , 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).
[49] Fanghua Jiang,et al. Optimization of observing sequence based on nominal trajectories of symmetric observing configuration , 2017 .
[50] Dario Izzo,et al. Real-time optimal control via Deep Neural Networks: study on landing problems , 2016, ArXiv.
[51] Hexi Baoyin,et al. Asteroid surface impact sampling: dependence of the cavity morphology and collected mass on projectile shape , 2017, Scientific Reports.
[52] Fanghua Jiang,et al. Power-limited low-thrust trajectory optimization with operation point detection , 2018 .
[53] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[54] Craig Kluever,et al. Low-Thrust Interplanetary Orbit Transfers Using Hybrid Trajectory Optimization Method with Multiple Shooting , 2004 .
[55] Francesco Topputo,et al. AAS 18-363 DEEP LEARNING FOR AUTONOMOUS LUNAR LANDING , 2018 .
[56] R. Epenoy,et al. New smoothing techniques for solving bang–bang optimal control problems—numerical results and statistical interpretation , 2002 .
[57] Xiaoli Bai,et al. Rapid Trajectory Planning for Asteroid Landing with Thrust Magnitude Constraint , 2017 .