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Publication List (chronological)

Journals

  1. 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].
  2. 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].
  3. 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].
  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, 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].
  6. 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].
  7. 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].
  8. 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].
  9. 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].
  10. 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].
  11. 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].
  12. 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].
  13. Hao Peng, and Xiaoli Bai, “Comparative Evaluation of Three Machine Learning Algorithms on Improving Orbit Prediction Accuracy (accepted),” Astrodynamics, vol. 0, 2019, p. 0.
  14. Hao Peng, and Xiaoli Bai, “Gaussian Processes for Improving Orbit Prediction Accuracy,” Acta Astronautica, May 2019, p. S0094576518320344. [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].

Conferences

  1. Hao Peng, and Shijie Xu, “Numerical stability study of multi-circle elliptic halo orbit in the elliptic restricted three-body problem,” AAS/AIAA Spaceflight Mechanics Conference 2015, Laurel: 2014, pp. 1–20.
  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 - 24th ISSFD, 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 Spaceflight Mechanics Conference 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 Spaceflight Mechanics Conference 2015, Williamsburg, VA: 2015, pp. 1–19.
  5. Hao Peng, Yuxin Liao, and Shiyuan Jia, “Maintain a libration point orbit in the Sun-Mercury elliptic restricted system,” 26th AAS/AIAA Space Flight Mechanics Meeting, Napa, CA: 2016, pp. 1–18.
  6. 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].
  7. 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.
  8. 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.
  9. 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.
  10. Hao Peng, and Xiaoli Bai, “Generalization Capability of Machine Learning Approach Among Different Satellites: Validated Using TLE Data,” 2018 AAS/AIAA Astrodynamics Specialist Conference, 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,” 2018 AAS/AIAA Astrodynamics Specialist Conference, Snowbird, UT: 2018, pp. 1–17.
  12. Hao Peng, and Xiaoli Bai, “Using Artificial Neural Network in Machine Learning Approach to Improve Orbit Prediction Accuracy,” 2018 Space Flight Mechanics Meeting, AIAA SciTech Forum, American Institute of Aeronautics and Astronautics, 2018. [Link].
  13. Hao Peng, and Xiaoli Bai, “Covariance Fusion Method of Gaussian Processes Covariance and Orbital Prediction Uncertainty (accepted),” 2019 AAS/AIAA Astrodynamics Specialist Conference, Portland, ME: 2019.

Resources

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