Résumé / Publication List

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It would be best if your organization has subscribed from the publishers. However, in such a world of creative minds, there are always multiple alternatives to accomplish a goal. Instead of request through emails, I believe using sci-hub which is a magic website is much easier (see my tutoral).

Journals

  1. Hao Peng, and Shijie Xu, “Stability of Two Groups of Multi-Revolution Elliptic Halo Orbits in the Elliptic Restricted Three-Body Problem”, Celestial Mechanics & Dynamical Astronomy, vol. 123, Nov. 2015, pp. 279–303. [Link]
  2. Hao Peng, and Shijie Xu, “Transfer to a Multi-Revolution Elliptic Halo Orbit in Earth-Moon Elliptic Restricted Three-Body Problem Using Stable Manifold”, Advances in Space Research, vol. 55, Nov. 2015, pp. 1015–1027. [Link]
  3. Hao Peng, and Shijie Xu, “Low-Energy Transfers to a Lunar Multi-Revolution Elliptic Halo Orbit”, Astrophysics and Space Science, vol. 357, May 2015, p. 87. [Link]
  4. Hao Peng, Duokui Yan, Shijie Xu, and Tiancheng Ouyang, “Linear Stability of Double–Double Orbits in the Parallelogram Four-Body Problem”, Journal of Mathematical Analysis and Applications, vol. 433, Jan. 2016, pp. 785–802. [Link]
  5. Hao Peng, Xiaoli Bai, and Shijie Xu, “Continuation of periodic orbits in the Sun-Mercury elliptic restricted three-body problem”, Communications in Nonlinear Science and Numerical Simulation, vol. 47, Jun. 2017, pp. 1–15. [Link]
  6. Hao Peng, Yuxin Liao, Xiaoli Bai, and Shijie Xu, “Maintenance of Libration Point Orbit in Elliptic Sun-Mercury Model”, IEEE Transactions on Aerospace and Electronic Systems, vol. PP, 2017, pp. 1–15. [Link]
  7. Hao Peng, and Xiaoli Bai, “Recovering Area-to-Mass Ratio of Resident Space Objects through Data Mining”, Acta Astronautica, vol. 142, Jan. 2018, pp. 75–86. [Link]
  8. Hao Peng, and Xiaoli Bai, “Natural Deep Space Satellite Constellation in the Earth-Moon Elliptic System”, Acta Astronautica, vol. 153, Dec. 2018, pp. 240–258. [Link]
  9. Hao Peng, Xiaoli Bai, Josep J. Masdemont, Gerard Gómez, and Shijie Xu, “Libration Transfer Design Using Patched Elliptic Three-Body Models and Graphics Processing Units”, Journal of Guidance, Control, and Dynamics, vol. 40, Dec. 2017, pp. 3155–3166. [Link]
  10. Hao Peng, and Xiaoli Bai, “Comparative Evaluation of Three Machine Learning Algorithms on Improving Orbit Prediction Accuracy”, Astrodynamics, vol. 3, Dec. 2019, pp. 325–343. [Link]
  11. Hao Peng, and Xiaoli Bai, “Exploring Capability of Support Vector Machine for Improving Satellite Orbit Prediction Accuracy”, Journal of Aerospace Information Systems, vol. 15, Jun. 2018, pp. 366–381. [Link]
  12. Hao Peng, and Xiaoli Bai, “Artificial Neural Network–Based Machine Learning Approach to Improve Orbit Prediction Accuracy”, Journal of Spacecraft and Rockets, vol. 55, Sep. 2018, pp. 1248–1260. [Link]
  13. Hao Peng, and Xiaoli Bai, “Improving Orbit Prediction Accuracy Through Supervised Machine Learning”, Advances in Space Research, vol. 61, May 2018, pp. 2628–2646. [Link]
  14. Hao Peng, and Xiaoli Bai, “Gaussian Processes for improving orbit prediction accuracy”, Acta Astronautica, vol. 161, Aug. 2019, pp. 44–56. [Link]
  15. Hao Peng, and Xiaoli Bai, “Machine Learning Approach to Improve Satellite Orbit Prediction Accuracy Using Publicly Available Data”, The Journal of the Astronautical Sciences, May 2019. [Link]
  16. Hao Peng, and Xiaoli Bai, “Fusion of a machine learning approach and classical orbit predictions”, Acta Astronautica, vol. 184, Jul. 2021, pp. 222–240. [Link]
  17. Hao Peng, and Xiaoli Bai, “Machine Learning Gyro Calibration Method Based on Attitude Estimation”, Journal of Spacecraft and Rockets, Jun. 2021, pp. 1–16. [Link]

Coauthered:

  1. Yu Shi, Hao Peng, Yue Wang, and Shijie Xu, “Optimal trajectory design for global exploration of an asteroid via bi-impulsive transfers”, International Journal of Space Science and Engineering, vol. 5, 2019, p. 205. [Link]
  2. Tianyu Gao, Hao Peng, and Xiaoli Bai, “Calibration of atmospheric density model based on Gaussian Processes”, Acta Astronautica, vol. 168, Mar. 2020, pp. 273–281. [Link]
  3. Josep J. Masdemont, Gerard Gómez, Liu Lei, and Hao Peng, “Global analysis of direct transfers from Lunar orbits to Sun-Earth libration point regimes”, Celestial Mechanics and Dynamical Astronomy, vol. 133, Mar. 2021, p. 15. [Link]
  4. Yiran Wang, Xiaoli Bai, Hao Peng, Genshe Chen, Dan Shen, Erik Blasch, and Carolyn B. Sheaff, “Gaussian-Binary classification for resident space object maneuver detection”, Acta Astronautica, vol. 187, Oct. 2021, pp. 438–446. [Link]

Conferences

  1. Hao Peng, Yuxin Liao, and Shiyuan Jia, “Maintain a libration point orbit in the Sun-Mercury elliptic restricted system”, AAS/AIAA Space Flight Mechanics Meeting 2016, Napa, CA: 2016, pp. 1–18.
  2. Hao Peng, and Shijie Xu, “Transfer to Multi-circle Elliptic Halo Orbit in Earth-Moon Elliptic Restricted Three-Body Problem”, 24th International Symposium on Space Flight Dynamics, Laurel: 2014, pp. 1–15.
  3. Hao Peng, Yi Qi, Shijie Xu, and Yanyan Li, “Numerical energy analysis of the escape motion in the elliptic restricted three-body problem”, AAS/AIAA Space Flight Mechanics Meeting 2015, Williamsburg, VA: 2015, pp. 1–19.
  4. Hao Peng, Shijie Xu, and Leizheng Shu, “Low-energy transfers to an earth-moon multi-revolution elliptic halo orbit”, AAS/AIAA Space Flight Mechanics Meeting 2015, Williamsburg, VA: 2015, pp. 1–19.
  5. Hao Peng, and Shijie Xu, “Numerical stability study of multi-circle elliptic halo orbit in the elliptic restricted three-body problem”, 24th International Symposium on Space Flight Dynamics, Laurel: 2014, pp. 1–20.
  6. Hao Peng, and Xiaoli Bai, “New Natural Formation Flying Configurations in the Earth-Moon Elliptic Three-Body System”, 9th International Workshop on Satellite Constellations and Formation Flying, University of Colorado Boulder: 2017
  7. Hao Peng, and Xiaoli Bai, “Limits of Machine Learning Approach on Improving Orbit Prediction Accuracy”, Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, Wailea Marriott: 2017. [Link]
  8. Hao Peng, and Xiaoli Bai, “Using Artificial Neural Network in Machine Learning Approach to Improve Orbit Prediction Accuracy”, AAS/AIAA Space Flight Mechanics Meeting 2018, American Institute of Aeronautics and Astronautics, 2018. [Link]
  9. Hao Peng, and Xiaoli Bai, “A Machine Learning Approach to Improve Satellite Orbit Prediction Accuracy: Validation Using Publicly Available Data”, John L. Junkins Dynamical Systems Symposium, College Station, TX: 2018
  10. Hao Peng, and Xiaoli Bai, “Generalization Capability of Machine Learning Approach Among Different Satellites: Validated Using TLE Data”, AAS/AIAA Astrodynamics Specialist Conference 2018, Snowbird, UT: 2018, pp. 1–17.
  11. Hao Peng, and Xiaoli Bai, “Obtain Confidence Interval for the Machine Learning Approach to Improve Orbit Prediction Accuracy”, AAS/AIAA Astrodynamics Specialist Conference 2018, Snowbird, UT: 2018, pp. 1–17.
  12. Hao Peng, and Xiaoli Bai, “Comparison of Effective Machine Learning Algorithms on Improving Orbit Prediction Accuracy”, 69th International Astronautical Congress (IAC), Bremen, Germany: 2018, pp. 1–12.
  13. Hao Peng, and Xiaoli Bai, “Covariance Fusion Method of Gaussian Processes Covariance and Orbital Prediction Uncertainty”, AAS/AIAA Astrodynamics Specialist Conference 2019, Portland, ME: 2019
  14. Hao Peng, Xiaoli Bai, Lesley A Weitz, and Scott C Kordella, “Enhance the TLE Catalog through Sharing Machine Learning Models”, 70th International Astronautical Congress, 2019, pp. 1–18.
  15. Hao Peng, and Xiaoli Bai, “Machine Learning Enhanced Gyro Calibrations Based on Extended Kalman Filter”, AAS/AIAA Astrodynamics Specialist Conference 2020, South Lake Tahoe, CA: 2020
  16. Hao Peng, and Xiaoli Bai, “Comparison of Different Machine Learning Methods for Gyro Calibrations”, AAS/AIAA Astrodynamics Specialist Conference 2020, South Lake Tahoe, CA: 2020
  17. Hao Peng, and Xiaoli Bai, “Intelligent Task Planning for an agile Ozone Observation Satellite”, 2021 AAS/AIAA Astrodynamics Specialist Conference Big Sky, Virtual: 2021
  18. Hao Peng, and Xiaoli Bai, “Improving Accuracy and Precision through Machine Learning Fusion using Two-Line Element Sets”, AIAA SCITECH 2022 Forum, American Institute of Aeronautics and Astronautics, 2021. [Link]
  19. Hao Peng, and Xiaoli Bai, “Satellite Constellation Task Planning for Intelligent Remote Sensing”, 2021 AAS/AIAA Astrodynamics Specialist Conference Big Sky, Virtual: 2021, p. 15.

Coauthered:

  1. Tianyu Gao, Hao Peng, and Xiaoli Bai, “Calibration of Atmospheric Density Model Based on Gaussian Process”, 2019 AAS/AIAA Astrodynamics Specialist Conference, Portland, ME: 2019, pp. 1–10.
  2. Chen Zhang, Chi-hang Yang, Zhang Hao, Ren-yong Zhang, Hao Peng, and Yang Gao, “Settler of the Galaxy: The CSU Solution to GTOCX”, 2019 AAS/AIAA Astrodynamics Specialist Conference, Portland, ME: 2019, pp. 1–18.
  3. Gaurav Misra, Hao Peng, and Xiaoli Bai, “Halo Orbit Station-keeping using Nonlinear MPC and Polynomial Optimization”, 2018 Space Flight Mechanics Meeting, Kissimmee, Florida: American Institute of Aeronautics and Astronautics, 2018. [Link]
  4. Yiran Wang, Hao Peng, Xiaoli Bai, Genshe Chen, Dan Shen, and Erik Blasch, “Data-driven Anomaly Detection for Resident Space Objects Using Autoencoder with Binary Classification”, AAS/AIAA Astrodynamics Specialist Conference 2020, South Lake Tahoe, CA: 2020