Publications
Journal Articles
[J1] A. S. Chen, Z. Li, W. Pan, K. G. Vamvoudakis, J. Hu, “In-situ learning for optimal quadrotor control on SE(3),” submitted, 2025.
[J2] G. Yang, A. S. Chen, A. Parisio, G. Herrmann, “MBE-MPPI: Multi-Barrier-Enhanced Model Predictive Path Integral for Safe and Efficient Vehicle Navigation,” submitted, 2025.
[J3] O. F. Argin, E. J. Lopez Pulgarin, A. S. Chen, G. Herrmann, “Safe shared control in manipulator teleoperation through control barrier functions,” submitted, 2025.
[J4] G. Yang, A. S. Chen, A. Parisio, G. Herrmann, “PIP-CN: Prediction-integrated planning for crowd navigation,” submitted, 2025.
[J5] A. Islam, A. S. Chen, “A game theoretic approach for handling uncertainties in quantum control,” submitted, 2025.
[J6] A. S. Chen, E. J. Lopez Pulgarin, O. F. Argin, L. Li, J. Carrasco, G. Herrmann, A. Weightman, “A safe-exploration scheme for glovebox robot learning,” submitted, 2025.
[J7] A. S. Chen, G. Herrmann, K. G. Vamvoudakis, “Safe optimal observer design via Q-learning,” submitted, 2025.
[J8] A. S. Chen, E. J. Lopez Pulgarin, G. Herrmann, A. Lanzon, J. Carrasco, B. Lennox, J. Brotherhood, T. Sakaue, K. Zhang, “Self-attenuating real-time vibration control of a flexible long-reach robot,” IEEE/ASME Transactions on Mechatronics, early access, pp. 1–13, 2025.
[J9] A. S. Chen, G. Herrmann, R. Islam, C. Brace, J. W. Turner, S. Burgess, “Q-learning-based optimal control via adaptive critic network for a Wankel rotary engine,” IEEE Transactions on Control Systems Technology, vol. 33, no. 3, pp. 1101–1109, 2025.
[J10] A. S. Chen, G. Herrmann, R. Islam, M. Turner, C. Brace, G. Vorraro, J. W. Turner, S. Burgess, N. Bailey, “Effective emission control of aero-engines via nonlinear dual-estimators for uncertain states and parameters,” Aerospace Science and Technology, vol. 142, p. 110210, 2025.
[J11] A. S. Chen, G. Herrmann, K. G. Vamvoudakis, J. Vijayan, “Learning-based quantum control for optimal pure state manipulation,” IEEE Control Systems Letters, vol. 8, pp. 1319–1324, 2024. (Invited paper, presented at the 63rd IEEE Conference on Decision and Control (CDC), Milan, Italy, 2024.)
[J12] L. Li, D. Crosby, M. Shuttleworth, O. F. Argin, A. S. Chen, G. Herrmann, R. Kay, A. Weightman, “A comparative analysis of soft-rigid and industrial parallel rigid grippers,” Advanced Intelligent Systems, vol. 6, no. 3, p. 2300329, 2024.
[J13] A. Islam, A. S. Chen, G. Herrmann, “A Q-learning algorithm to solve the two-player zero-sum game problem for nonlinear systems,” International Journal of Adaptive Control and Signal Processing, vol. 39, no. 3, pp. 566–581, 2023.
[J14] J. Na, A. S. Chen, Y. Huang, A. Agarwal, A. Lewis, G. Herrmann, R. Burke, C. Brace, “Air-fuel ratio control of spark ignition engines with unknown system dynamics estimator,” IEEE Transactions on Control Systems Technology, vol. 29, no. 2, pp. 786–793, 2019.
[J15] J. Na, A. S. Chen, G. Herrmann, R. Burke, C. Brace, “Vehicle engine torque estimation via unknown input observer and adaptive parameter estimation,” IEEE Transactions on Vehicular Technology, vol. 67, no. 1, pp. 409–422, 2017.
Conference Papers
[C1] A. S. Chen, Z. Li, W. Pan, K. G. Vamvoudakis, J. Hu, “Optimal adaptive geometric control of unmanned aerial vehicles via single-critic policy distillation,” submitted, 2025.
[C2] A. S. Chen, K. G. Vamvoudakis, “Continuous-time quantum reservoirs,” Proceedings of the American Control Conference (ACC), New Orleans, LA, 2026.(Accepted)
[C3] A. S. Chen, S. Meng, Z. Li, “In-situ learning in drones: Rethinking embodied intelligence without sim-to-real,” Proceedings of the Embodied Intelligence Conference (EI), Cambridge, UK, 2025. (Accepted)
[C4] A. S. Chen, K. G. Vamvoudakis, “Robot learning optimal control via an adaptive critic reservoir,” Proceedings of the 64th IEEE Conference on Decision and Control (CDC), pp. 3842-3847, Rio de Janeiro, Brazil, 2025. (Invited)
[C5] A. S. Chen, E. J. Lopez Pulgarin, G. Herrmann, A. Lanzon, J. Carrasco, B. Lennox, B. Carrera-Knowles, J. Brotherhood, T. Sakaue, K. Zhang, “Dynamics-based trajectory planning for vibration suppression of a flexible long-reach robotic manipulator system,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, 2024.
[C6] S. Li, Y. Zhang, A. S. Chen, Z. Zhang, P. Liu, “Research on multi-robot collaborative SLAM algorithm based on factor graph optimization,” Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC), pp. 584–598, Datong, China, 2024.
[C7] A. S. Chen, G. Herrmann, “An adaptive critic learning approach for nonlinear optimal control subject to excitation and weight constraints,” Proceedings of the 62nd IEEE Conference on Decision and Control (CDC), pp. 2497–2502, Marina Bay Sands, Singapore, 2023.
[C8] A. S. Chen, G. Herrmann, S. Burgess, C. Brace, “Output feedback speed control for a Wankel rotary engine via Q-learning,” IFAC-PapersOnLine, 22nd IFAC World Congress 2023, vol. 56, no. 2, pp. 8278–8283, Yokohama, Japan, 2023.
[C9] A. S. Chen, G. Herrmann, “Adaptive optimal control via continuous-time Q-learning for unknown nonlinear affine systems,” Proceedings of the 58th IEEE Conference on Decision and Control (CDC), pp. 1007–1012, Nice, France, 2019.
[C10] A. S. Chen, J. Na, G. Herrmann, M. Turner, G. Vorraro, C. Brace, “Nonlinear observer-based air-fuel ratio control for port fuel injected Wankel engines,” Proceedings of the UKACC 12th International Conference on Control (CONTROL), pp. 224–229, Sheffield, UK, 2018.
[C11] A. S. Chen, J. Na, G. Herrmann, R. Burke, C. Brace, “Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation,” Proceedings of the IEEE International Conference on Modelling, Identification and Control (ICMIC), pp. 1074–1079, Kunming, China, 2017. (Best Student Paper)
[C12] T. Harding, C. Rames, H. Y. Teh, T. Mill, J. Na, A. S. Chen, G. Herrmann, “Engine torque estimation with integrated unknown input observer and adaptive parameter estimator,” IFAC-PapersOnLine, 20nd IFAC World Congress 2017, vol. 50, no. 1, pp. 11058–11063, Toulouse, France, 2017.
Book Chapters
[B1] A. S. Chen, T. Su, G. Herrmann, “Control theory for sampled-data control,” in Encyclopedia of Systems and Control Engineering, Elsevier, 2025.
Theses
[T1] A. S. Chen, “Adaptive optimal control via reinforcement learning: Theory and its application to automotive engine systems,” Ph.D. thesis, University of Bristol, 2021.
[T2] A. S. Chen, “Torque estimation and air-fuel ratio control for internal combustion engines,” M.Sc. thesis, University of Bristol, 2016.