Publications
Book Chapters
[B1] A. S. Chen, T. Su, and G. Herrmann, “Control theory for sampled-data control,” in Encyclopedia of Systems and Control Engineering, S. K. Spurgeon, Ed., Elsevier, 2025.
Journal Articles
[J1] O. F. Argin, A. S. Chen, E. J. Lopez Pulgarin, J. Carrasco, A. Weightman, and G. Herrmann, “A haptic shared control framework for safe human-guided robot manipulation,” submitted, 2026.
[J2] A. S. Chen, E. J. Lopez Pulgarin, O. F. Argin, L. Li, G. Herrmann, and A. Weightman, “Safe-set morphing for online learning of robotic glovebox manipulation,” submitted, 2026.
[J3] D. Maqbool, Y. H. Su, A. S. Chen, F. Arvin, and J. Hu, “A hierarchical deep reinforcement learning framework for efficient multi-UAV swarm exploration,” submitted, 2026.
[J4] Z. Li, Y. Qin, C. Jiang, Z. Zhang, A. S. Chen, and Y. Tang, “Learning contact and impact-aware policies for nonprehensile manipulation with dynamic measurements,” submitted, 2026.
[J5] L. Hu, P. Jia, and A. S. Chen, “Game-based safe output-feedback dynamic event-triggered optimal control for morphing hypersonic vehicles,” submitted, 2026.
[J6] D. Li, Y. Zhao, A. S. Chen, and T. Yang, “A digital-twin-oriented closed-loop co-simulation platform for electric-propulsion aircraft design,” submitted, 2026.
[J7] A. S. Chen and K. G. Vamvoudakis, “Reward hacking in adaptive optimal control,” submitted, 2026.
[J8] X. Xia, Y. Tang, A. S. Chen, and L. Cheng, “Online reservoir-iterative learning control for user-adaptive elbow exoskeleton assistance,” submitted, 2026.
[J9] Y. Tang, X. Xia, G. Li, L. Cheng, and A. S. Chen, “Multi-horizon temporal information reservoir for model-free iterative learning control,” submitted, 2026.
[J10] P. Jia, J. Lian, W. Wang, A. S. Chen, and K. Liu, “Physics-informed cross-layer energy allocation for networked switched systems under denial-of-service attacks,” submitted, 2026.
[J11] A. S. Chen, Z. Li, W. Pan, K. G. Vamvoudakis, and J. Hu, “In-situ learning for optimal quadrotor control on SE(3),” submitted, 2025.
[J12] B. Jia, J. Zhao, J. Na, A. S. Chen, and Q. Zeng, “Model-free output-feedback optimal control of nonlinear systems,” submitted, 2025.
[J13] G. Yang, A. S. Chen, A. Parisio, and G. Herrmann, “MBE-MPPI: Multi-barrier-enhanced model predictive path integral control for safe and efficient vehicle navigation,” submitted, 2025.
[J14] O. F. Argin, E. J. Lopez Pulgarin, A. S. Chen, and G. Herrmann, “Safe shared control in manipulator teleoperation through control barrier functions,” submitted, 2025.
[J15] A. S. Chen, G. Herrmann, and K. G. Vamvoudakis, “Safe optimal observer design via Q-learning,” IEEE Transactions on Automatic Control, submitted, 2026.
[J16] B. Jia, J. Zhao, A. S. Chen, S. Song, and Q. Zeng, “Adaptive optimal output-feedback control for valve-pump electro-hydraulic systems,” IEEE Transactions on Industrial Electronics, accepted, 2026.
[J17] A. Islam and A. S. Chen, “Universal post-measurement quantum control under adversarial hamiltonian uncertainty via Isaacs differential games,” IEEE Control Systems Letters, early access, 2026. (Also presented at the 65th IEEE Conference on Decision and Control (CDC), Honolulu, Hawaii, United States, 2026.) (Invited paper)
[J18] A. S. Chen, E. J. Lopez Pulgarin, G. Herrmann, A. Lanzon, J. Carrasco, B. Lennox, J. Brotherhood, T. Sakaue, and K. Zhang, “Self-attenuating real-time vibration control of a flexible long-reach robot,” IEEE/ASME Transactions on Mechatronics, vol. 31, no. 2, pp. 2221–2233, 2026.
[J19] A. S. Chen, G. Herrmann, R. Islam, C. Brace, J. W. Turner, and 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.
[J20] A. S. Chen, G. Herrmann, R. Islam, M. Turner, C. Brace, G. Vorraro, J. W. Turner, S. Burgess, and N. Bailey, “Effective emission control of aero-engines via nonlinear dual-estimators for uncertain states and parameters,” Aerospace Science and Technology, vol. 163, article 110210, 2025.
[J21] A. Islam, A. S. Chen, and 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, 2025.
[J22] L. Li, D. Crosby, M. Shuttleworth, O. F. Argin, A. S. Chen, G. Herrmann, R. Kay, and A. Weightman, “A comparative analysis and scoping review of soft-rigid and industrial parallel rigid grippers,” Advanced Intelligent Systems, vol. 7, no. 5, article 2400503, 2025.
[J23] A. S. Chen, G. Herrmann, K. G. Vamvoudakis, and J. Vijayan, “Learning-based quantum control for optimal pure state manipulation,” IEEE Control Systems Letters, vol. 8, pp. 1319–1324, 2024. (Also presented at the 63rd IEEE Conference on Decision and Control (CDC), Milan, Italy, 2024.) (Invited paper)
[J24] J. Na, A. S. Chen, Y. Huang, A. Agarwal, A. Lewis, G. Herrmann, R. Burke, and 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, 2021.
[J25] A. S. Chen, G. Vorraro, M. Turner, R. Islam, G. Herrmann, S. Burgess, C. Brace, J. Turner, and N. Bailey, “Control-oriented modelling of a Wankel rotary engine: A synthesis approach of state space and neural networks,” SAE Technical Paper 2020-01-0253, 2020. (Also presented at the SAE World Congress Experience (WCX) 2020).
[J26] J. Na, A. S. Chen, G. Herrmann, R. Burke, and 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, 2018.
Conference Papers
[C1] Y. Wang and A. S. Chen, “Continuous-time adaptive reservoir learning for safe robot control,” submitted, 2026.
[C2] Y. Wang, N. Pushparaj, C. Cappelletti, and A. S. Chen, “Safe release control for small-body landing via attitude-dependent invariant sets,” submitted, 2026.
[C3] S. S. Meng and A. S. Chen, “Fading-memory reservoir adaptive control of partially observed FitzHugh-Nagumo networks,” submitted, 2026.
[C4] S. S. Meng and A. S. Chen, “Adaptive spike-based control for wall-probing aerial robots,” submitted, 2026.
[C5] W. K. Bulica and A. S. Chen, “Is it possible to detect supersonic aircraft using passive radars?,” AIAA SciTech Forum, accepted, 2027.
[C6] S. Rout and A. S. Chen, “Cross-dataset free-run validation of data-driven dynamic models for small turbojet digital twins,” AIAA SciTech Forum, accepted, 2027.
[C7] Y. Zhao, A. S. Chen, M. Jabbal, and T. Yang, “Flight-log-driven physics-structured reservoir computing for drift-resilient UAV digital twins,” AIAA SciTech Forum, accepted, 2027.
[C8] Y. Zhao, A. S. Chen, M. Jabbal, D. Li, and T. Yang, “A Crazyflie digital twin for synchronisation, actuator health monitoring, and short-horizon prediction,” 16th EASN International Conference on Innovation in Aviation & Space towards Sustainability Today and Tomorrow, Toulouse, France, accepted, 2026.
[C9] O. F. Argin, T. Piercy, E. J. Lopez Pulgarin, A. S. Chen, Z. Ji, J. Carrasco, L. Li, A. Weightman, J. Wilkinson, S. Pacheco-Gutierrez, and G. Herrmann, “A semi-autonomous telemanipulation platform for glovebox-inspired constrained environments,” IEEE Conference on Telepresence, accepted, 2026.
[C10] A. S. Chen, K. Nakajima, and K. G. Vamvoudakis, “Reservoir computing for adaptive control under matched uncertainty,” 65th IEEE Conference on Decision and Control, accepted, 2026.
[C11] A. S. Chen and K. G. Vamvoudakis, “Certifiable safe quantum control against reward hacking,” 65th IEEE Conference on Decision and Control, accepted, 2026.
[C12] G. Yang, A. S. Chen, A. Parisio, and G. Herrmann, “A safety framework for uncertainty-aware model predictive path integral control in shared-space navigation,” 65th IEEE Conference on Decision and Control, accepted, 2026.
[C13] A. S. Chen, Z. Li, W. Pan, K. G. Vamvoudakis, and J. Hu, “Optimal adaptive geometric control of unmanned aerial vehicles via single-critic policy distillation,” 65th IEEE Conference on Decision and Control, accepted, 2026.
[C14] G. Yang, A. S. Chen, A. Parisio, and G. Herrmann, “PIP-CN: Prediction-integrated planning for crowd navigation,” IEEE/RSJ International Conference on Intelligent Robots and Systems, accepted, 2026.
[C15] G. Yang, A. S. Chen, A. Parisio, and G. Herrmann, “Risk-bounded predictive control for automated vehicles in shared-space areas,” 17th International Symposium on Advanced Vehicle Control, Tsukuba, Japan, accepted, 2026.
[C16] A. S. Chen and K. G. Vamvoudakis, “Continuous-time quantum reservoirs,” American Control Conference, New Orleans, Louisiana, U.S.A., accepted, 2026.
[C17] A. S. Chen, S. Meng, Z. Li, “In-situ learning in drones: Rethinking embodied intelligence without sim-to-real,” Proceedings of 5th International Conference on Embodied Intelligence (EI 2025), Vol. 1343, 012015, Cambridge (Online), United Kingdom, 2025.
[C18] 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 paper)
[C19] 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, United Arab Emirates, 2024.
[C20] 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.
[C21] 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.
[C22] 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.
[C23] 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.
[C24] 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, United Kingdom, 2018.
[C25] 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)
[C26] 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, 20th IFAC World Congress 2017, vol. 50, no. 1, pp. 11058–11063, Toulouse, France, 2017.
Theses
[T1] A. S. Chen, “Adaptive optimal control via reinforcement learning: Theory and its application to automotive engine systems,” Ph.D. dissertation, University of Bristol, 2021.
[T2] A. S. Chen, “Torque estimation and air-fuel ratio control for internal combustion engines,” M.Sc. dissertation, University of Bristol, 2016.