1. I. Askari*, B. Badnava*, T. Woodruff*, S. Zeng  and H. Fang, "Sampling-based nonlinear MPC of neural network dynamics with application to autonomous vehicle motion planning," in Proceedings of American Control Conference, 2022.
  2. A. Farakhor* and H. Fang, "A novel modular, reconfigurable battery energy storage system design," in Proceedings of the 47th Annual Conference of the IEEE Industrial Electronics Society, Oct. 13-16, 2021.
  3. A. Farakhor* and H. Fang, "Dynamic modeling and online parameter identification of a coupled-inductor-based DC-DC converter with leakage inductance effect consideration," in Proceedings of the 47th Annual Conference of the IEEE Industrial Electronics Society, Oct. 13-16, 2021.
  4. Y. Hu, R. A. de Callafon, N. Tian* and H. Fang, "Modeling of lithium-ion batteries via tensor-network-based Volterra model," in Proceedings of the Modeling, Estimation and Control Conference, pp. 509-515, Oct. 24-27, 2021.
  5. T. Woodruff*, I. Askari*, G. Wang and H. Fang, "Model predictive control of nonlinear latent force models: A scenario-based approach," in Proceedings of IEEE International Conference on Robotics and Automation, pp. 7365-7371, Xi'an, China, May 30-Jun. 5, 2021.
  6. I. Askari*, S. Zeng and H. Fang, "Nonlinear model predictive control based on constraint-aware particle filtering/smoothing," in Proceedings of American Control Conference, pp. 3532-3537, May 25-28, 2021.
  7. H. Tu*, S. Moura and H. Fang, "Integrating electrochemical modeling with machine learning for lithium-ion batteries," in Proceedings of American Control Conference, pp. 4401-4407, May 25-28, 2021.
  8. H. Movahedi, N. Tian*, H. Fang and R. Rajamani, "Hysteresis compensation and nonlinear observer design for state-of-charge estimation using a nonlinear double-capacitor Li-ion battery model," in Proceedings of American Control Conference, pp. 3108-3113, May 25-28, 2021.
  9. S. Taher, J. Li and H. Fang, "Online input, state, and response estimation for building structures under earthquakes using limited acceleration measurements," in Proceedings of SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, pp. 42-50, Denver, CO, USA, Apr. 27-May 8, 2020.
  10. M. Vu, S. Zeng and H. Fang, "Health-aware battery charging via iterative nonlinear optimal control syntheses," in Proceedings of the 21st IFAC World Congress, vol. 53, no. 2, pp. 12485-12490, Berlin, Germany, Jul. 12-17, 2020.
  11. M. Proctor*, N. Tian* and H. Fang, "Battery state-of-charge estimation based on the nonlinear double-capacitor model and extended Kalman filter," in Proceedings of the 12th IEEE Annual Green Technologies Conference, pp. 10-15, Oklahoma City, OK, USA, ​Apr. 1-3, 2020.
  12. C. Yan* and H. Fang, "Observer-based leader-follower tracking control for high-order multi-agent systems with limited measurement information," in Proceedings of the 58th IEEE Conference on Decision & Control, pp. 3904-3909, Nice, France, Dec. 11-13, 2019.
  13. N. Tian*, H. Fang and Y. Wang, "Parameter identification of the nonlinear double-capacitor model for Lithium-ion batteries: From the Wiener perspective," in Proceedings of American Control Conference, pp. 897-902, Philadelphia, PA, USA, Jul. 10-12, 2019.
  14. C. Yan* and H. Fang, "Distributed leader-follower tracking control for multi-agent systems subject to disturbances,"  in Proceedings of American Control Conference, pp. 1848-1853, Philadelphia, PA, USA, Jul. 10-12, 2019.
  15. N. Tian*, H. Fang and Y. Wang, "Real-time optimal lithium-ion battery charging via explicit model predictive control," in Proceedings of the 28th International Symposium on Industrial Electronics, pp. 2001-2006, Vancouver, Canada, Jun. 12-14, 2019.
  16. N. Tian*, H. Fang and J. Chen, "A new nonlinear double-capacitor model for rechargeable batteries," in Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, Washington DC, USA, Oct. 21-23, 2018.
  17. H. Fang, M. A. Haile and Y. Wang, "Robustifying the Kalman filter against measurement outliers: An innovation saturation mechanism," in Proceedings of the 57th IEEE Conference on Decision & Control, pp. 6390-6395, Miami, FL, USA, Dec. 17-19, 2018.
  18. C. Yan* and H. Fang, "Leader-follower tracking control for multi-agent systems based on input observer design," in Proceedings of American Control Conference, pp. 478-483, Milwaukee, WI, USA, Jun. 27-29, 2018.
  19. C. Yan*, H. Fang and H. Chao, "Battery-aware time/range-extended leader-follower tracking for a multi-agent system," in Proceedings of American Control Conference, pp. 3887-3893, Milwaukee, WI, USA, Jun. 27-29, 2018.
  20. S. Taher, J. Li and H. Fang, "Input and state estimation for earthquake-excited building structures using acceleration measurements," Proceedings of SPIE Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, Denver, CO, USA, Mar. 4-8, 2018.
  21. N. Tian*, Y. Wang, J. Chen and H. Fang, "On parameter identification of an equivalent circuit model for lithium-Ion batteries," in Proceedings of IEEE Conference on Control Technology and Applications, pp. 187-192, Kohala Coast, HI, USA, Aug. 27-30, 2017.
  22. N. Tian* and H. Fang, "Distributed Kalman filtering-based three-dimensional temperature field reconstruction for a lithium-ion battery pack," in Proceedings of American Control Conference, pp. 905-910, Seattle, WA, USA, May. 24-26, 2017.
  23. H. Fang, D. Wu and T. Yang, "Cooperative management of a lithium-ion battery energy storage network: A distributed MPC approach," in Proceedings of the 55th IEEE Conference on Decision & Control, pp. 4226-4232, Las Vegas, NV, USA, Dec. 12-14, 2016.
  24. Q. Ouyang, J. Chen, H. Liu and H. Fang, "Improved cell equalizing topology for serially connected lithium-ion battery packs," in Proceedings of the 55th IEEE Conference on Decision & Control, pp. 6715-6720, Las Vegas, NV, USA, Dec. 12-14, 2016.
  25. H. Fang and R. A. de Callafon, "Simultaneous input and state filtering: An ensemble approach," in Proceedings of the 54th IEEE Conference on Decision & Control, pp.437-442, Osaka, Japan, Dec. 15-18, 2015.
  26. H. Fang and Y. Wang, "Health-aware and user-involved battery charging management for electric vehicles using linear quadratic control," in Proceedings of ASME Dynamics Systems & Control Conference, Columbus, OH, Oct. 28-30, 2015.
  27. A. T. Hodes, C. P. Weiner, H. Fang, S. K. Kieweg and S. E. Wilson, "Filtering techniques for accurate identification of clinician hand posture," in Proceedings of ASME International Mechanical Engineering Congress & Exposition, Huston, TX, Nov. 13-19, 2015.
  28. H. Fang, X. Zhao, Y. Wang, Z. Sahinoglu, T. Wada, S. Hara, R.A. de Callafon, "State-of-charge estimation for batteries: A multi-model approach," in Proceedings of American Control Conference, pp. 2779-2785, Portland, OR, USA, Jun. 4-6, 2014.
  29. H. Fang, R. Sharma and R. Patil, "Optimal sensor and actuator deployment for HVAC control system design," in Proceedings of American Control Conference, pp. 2240-2246, Portland, OR, USA, Jun. 4-6, 2014.
  30. H. Fang, X. Zhao and R. A. de Callafon, "Agile Bayesian filtering," in Proceedings of the 52nd IEEE Conference on Decision & Control, pp. 7690-7695, Florence, Italy, Dec. 10-13, 2013.
  31. Y. Wang, H. Fang, Z. Sahinoglu, T. Wada and S. Hara, "Nonlinear adaptive estimation of the state of charge for Lithium-ion batteries," in Proceedings of IEEE Conference on Decision & Control, pp. 4405-4410, Florence, Italy, Dec. 10-13, 2013.
  32. H. Fang and R. A. de Callafon, "Adaptive regulation of time varying disturbances via weighted robust estimation and automatic controller tuning," in Proceedings of European Control Conference, pp. 2891-2896, Zurich, Switzerland, Jul. 17-19, 2013.
  33. H. Fang and R. A. de Callafon, "Simultaneous input and state smoothing and its application to oceanographic flow field reconstruction," in Proceedings of American Control Conference, pp. 4712-4717, Washington, DC, USA, Jun. 17-19, 2013.
  34. H. Fang, Y. Wang, Z. Sahinoglu, T. Wada and S. Hara, "Adaptive estimation of state of charge for Lithium-ion batteries," in Proceedings of American Control Conference, pp. 3491-3497, Washington, DC, USA, Jun. 17-19, 2013.
  35. H. Fang, J. Wang and R. A. de Callafon, "Nonlinear Gaussian filtering via Gaussian radial basis function approximation," in Proceedings of the 51st IEEE Conference on Decision & Control, pp. 6042-6047, Maui, HI, USA, Dec. 10-13, 2012.
  36. H. Fang and R. A. de Callafon, "Stability analysis and application of Kalman filtering with irregularly sampled measurements," in Proceedings of American Control Conference, pp. 4795-4800, Montreal, Canada, Jun. 27-29, 2012.
  37. H. Fang and R. A. de Callafon, "Nonlinear simultaneous input and state estimation with application to flow field estimation," in Proceedings of the 50th IEEE Conference on Decision & Control, pp. 6013-6018, Orlando, FL, USA, Dec. 12-15, 2011.
  38. C.E. Kinney, H. Fang and R. A. de Callafon, "Robust estimation and automatic controller tuning in vibration control of time varying harmonic disturbances," in Proceedings of IFAC World Congress, pp. 5401-5406, Milan, Italy, Aug. 28-Sep. 2, 2011.
  39. H. Fang and Y. Shi, "Parameter estimation with missing input/output data," in Proceedings of American Control Conference, pp. 5061-5066, St. Louis, MO, USA, Jun. 10-12, 2009.
  40. Y. Shi and H. Fang, "Parameter estimation for systems with randomly missing output under network environment," in Proceedings of ASME Dynamic Systems and Control Conference, pp. 795-800, Ann Arbor, MI, USA, Oct., 2008.
  41. H. Fang, Y. Shi, and J. Yi, "A new algorithm for simultaneous input and state estimation," in Proceedings of American Control Conference, pp. 2421-2426, Seattle, WA, USA, Jun. 11-13, 2008.
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