Home Research Publications CV

Robust Distribued Optimization

  1. Tong Liu and Zhong-Ping Jiang, "Distributed Optimization of Nonlinear Multi-Agent Systems with Disturbance Rejection," IEEE Transactions on Automatic Control, Under Review, 2025.
  2. Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini and Zhong-Ping Jiang, "Robust Distributed Optimization for Multi-Agent Systems with General Linear Models," IEEE Transactions on Automatic Control, Second-Round Review, 2024.
  3. Tong Liu, Miroslav Krstic and Zhong-Ping Jiang, "Adaptive Dynamic Programming-Regulated Extremum Seeking for Distributed Feedback Optimization," IEEE Transactions on Automatic Control, In Press, 2025, DOI: 10.1109/TAC.2025.3577956.
  4. Tong Liu, Tengfei Liu and Zhong-Ping Jiang, "Feedback Optimization of Nonlinear Strict-Feedback Systems," Journal of Systems Science & Complexity, 38.2 (2025): 717-738.
  5. Tong Liu, Xiaoming Hu and Zhong-Ping Jiang, "Distributed Feedback Optimization for Linear Uncertain Multiagent Systems with Unknown Exosystems," 13th IFAC Symposium on Nonlinear Control Systems, Accepted, 2025.
  6. Tong Liu, Miroslav Krstic and Zhong-Ping Jiang, "Extremum Seeking and Adaptive Dynamic Programming for Distributed Feedback Optimization," 2024 IEEE Conference on Decision and Control (CDC), pp. 7662-7667, 2024.
  7. Tong Liu, Michelangelo Bin, Ivano Notarnicola, Thomas Parisini and Zhong-Ping Jiang, "Discrete-Time Distributed Optimization for Linear Uncertain Multi-Agent Systems," 2023 IEEE Conference on Decision and Control (CDC), pp. 7439-7444, 2023.

Data-Driven Traffic Signal Optimization

  1. Tong Liu, Qichao Wang, Hong Wang and Zhong-Ping Jiang, "Model Predictive Control for Urban Traffic Signals with Stability Guarantees," SIAM Conference on Control and Its Application, pp. 64-71, 2023.
  2. Tong Liu, Hong Wang and Zhong-Ping Jiang, "Data-Driven Optimal Control of Traffic Signals for Urban Road Networks," 2022 IEEE 61st Conference on Decision and Control (CDC), pp. 844-849, 2022.
  3. Zhun Yin, Tong Liu, Chieh Wang, Hong Wang and Zhong-Ping Jiang, "Reducing Urban Traffic Congestion Using Deep Learning and Model Predictive Control," IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 9, pp. 12760 - 12771, 2023.
  4. Zhun Yin, Tong Liu, Guohuai Zhang, Hong Wang and Zhong-Ping Jiang, "Distributed Deep Learning and Adaptive Control for Large-Scale Traffic Signal Networks," Transportation Research Part B: Emerging Technologies, Under review, 2024.
  5. Jiho Park, Tong Liu, Chieh Wang, Andy Berres, Joseph Severino, Juliette Ugirumurera, Airton G. Kohls, Hong Wang, Jibonananda Sanyal and Zhong-Ping Jiang, "Adaptive Urban Traffic Signal Control: A Case Study with Real-World Experiments," Journal of Intelligent Transportation Systems, vol. 151, no. 2, 04024113, 2025.
  6. Jiho Park, Tong Liu, Chieh Wang, Hong Wang, Qichao Wang and Zhong-Ping Jiang, "Traffic Signal Control for Large-Scale Urban Traffic Networks: Real-World Experiments using Vision-based Sensors," 2024 IEEE 18th International Conference on Control & Automation (ICCA), pp. 282-287, 2024.
  7. Jiho Park, Tong Liu, Chieh Wang, Andy Berres, Joseph Severino, Juliette Ugirumurera, Airton G. Kohls, Hong Wang, Jibonananda Sanyal and Zhong-Ping Jiang, "Adaptive Urban Traffic Signal Control for Multiple Intersections: An LQR Approach," 2022 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 2240-2245, 2022.

Reinforcement Learning for Autonomous Driving

  1. Tong Liu and Zhong-Ping Jiang, "Learning-Based Control of Autonomous Vehicles in Mixed Vehicular Platoons," in Smarter Cyber Physical Systems: Enabling Methodologies and Applications, Y. Wan, K. G. Vamvoudakis, Y. Chen, and F. L. Lewis, Eds. CRC Press, 2024.
  2. Tong Liu, Leilei Cui, Bo Pang and Zhong-Ping Jiang, "A Unified Framework for Data-Driven Optimal Control of Connected Vehicles in Mixed Traffic," IEEE Transactions on Intelligent Vehicles, vol. 8, no. 8, pp. 4131 - 4145, 2023.
  3. Tong Liu, Leilei Cui, Bo Pang and Zhong-Ping Jiang, "Data-Driven Adaptive Optimal Control of Mixed-Traffic Connected Vehicles in a Ring Road," 2021 IEEE Conference on Decision and Control (CDC), pp. 77-82, 2021.
  4. Tong Liu, Leilei Cui, Bo Pang and Zhong-Ping Jiang, "Learning-Based Control of Multiple Connected Vehicles in the Mixed Traffic by Adaptive Dynamic Programming," 2021 IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), pp. 370-375, 2021.

Reinforcement Learning for Engergy-Efficient Train Operation

  1. Tong Liu, Jing Xun and Yafei Liu, "Analysis of Optimal Train Control Problem on a Non-Steep Track with Speed Limit," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 2533-2538, 2019.
  2. Tong Liu, Jing Xun, Jiateng Yin and Xiao Xiao, "Optimal Train Control by Approximate Dynamic Programming: Comparison of Three Value Function Approximation Methods," 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 2741-2746, 2018.
  3. Tong Liu, Jing Xun, Bin Ning, Wei Wang and Lanfang Zhang, "An Energy-Efficient Control Method for Train’s Operation by Q-Learning and Historical Data," Chinese Automation Congress (CAC), in Chinese, 2018.
  4. Jing Xun, Tong Liu, Bin Ning and Yafei Liu, "Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro," IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 9, pp. 3650-3662, 2020.

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