Weinan Gao received the B.Sc. degree in Automation from Northeastern University, Shenyang, China, in 2011, the M.Sc. degree in Control Theory and Control Engineering from Northeastern University, Shenyang, China, in 2013, and the Ph.D. degree in Electrical Engineering from New York University, Brooklyn, NY, USA in 2017. He is currently a Professor with the State Key Laboratory of Synthetical Automation for Process Industries at Northeastern University, Shenyang, China. Previously, he was an Assistant Professor of Mechanical and Civil Engineering at Florida Institute of Technology, Melbourne, FL, USA in 2020-2022, an Assistant Professor of Electrical and Computer Engineering at Georgia Southern University, Statesboro, GA, USA in 2017-2020, and a Visiting Professor of Mitsubishi Electric Research Laboratory (MERL), Cambridge, MA, USA in 2018.

         His research interests include reinforcement learning, adaptive dynamic programming (ADP), optimal control, cooperative adaptive cruise control (CACC), intelligent transportation systems, sampled-data control systems, and output regulation theory. He is the recipient of the best paper award in IEEE International Conference on Real-time Computing and Robotics (RCAR) in 2018, and the David Goodman Research Award at New York University in 2019.       

         Dr. Gao is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE/CAA Journal of Automatica Sinica, Control Engineering Practice, Neurocomputing and IEEE Transactions on Circuits and Systems II: Express Briefs, a member of Editorial Board of Neural Computing and Applications, and a Technical Committee member in IEEE Control Systems Society on Nonlinear Systems and Control and in IFAC TC 1.2 Adaptive and Learning Systems.

Selected Publications:

1.J. Zhao, C. Yang, W. Gao, H. Modares, X. Chen, and W. Dai. Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method, Automatica, vol. 148, article 110761,2023.

2.Y. Jiang, W. Gao, J. Wu, T. Chai, and F. L. Lewis. Reinforcement Learning and Cooperative H infinity Output Regulation of Linear Continuous-Time Multi-Agent Systems, Automatica, vol. 148, article 110768, 2023.

3.W. Gao, C. Deng, Y. Jiang, and Z. P. Jiang. Resilient Reinforcement Learning and Robust Output Regulation Under Denial-of-Service Attacks, Automatica, vol. 142, article 110366, 2022.

4.F. Zhao, W. Gao, T. Liu, and Z. P. Jiang. Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback, Automatica, vol. 137, article 110103, 2022.

5. Weinan Gao, Mohammed Mynuddin**, Donald Wunsch, and Zhong-Ping Jiang. Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model, IEEE Transactions on Neural Network and Learning Systems, in press, 2021, doi: 10.1109/TNNLS.2021.3069728.

6.Y. Jiang, J. Fan, W. Gao, T. Chai, F. L. Lewis. Cooperative Adaptive Optimal Output Regulation of Nonlinear Discrete-Time Multi-Agent Systems, Automatica, vol. 121, article 109149, 2020.

7.A. Odekunle, W. Gao, M. Davari, and Z. P. Jiang. Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems, Automatica, vol. 112, article 108672, 2020.

8.W. Gao, Z. P. Jiang, F. L. Lewis, and Y. Wang. Leader-to-formation stability of multi-agent systems: An adaptive optimal control approach, IEEE Transactions on Automatic Control, vol. 63, no. 10, pp. 3581-3587, 2018.

9.W. Gao, Y. Jiang, Z. P. Jiang, and T. Chai. Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming. Automatica, vol. 72, pp. 37-45, 2016.

10.W. Gao and Z. P. Jiang. Adaptive dynamic programming and adaptive optimal output regulation of linear systems. IEEE Transactions on Automatic Control, vol. 61, no. 12, pp. 4164-4169, 2016.

[1] 2013.9 -- 2017.5
New York University       Electrical Engineering       Postgraduate (Doctoral)

[2] 2011.9 -- 2013.7
Northeastern University       Control Theory and Control Engineering       Postgraduate (Master's Degree)

[3] 2007.9 -- 2011.7
Northeastern University       Automation       Undergraduate (Bachelor’s degree)

[1] 2018.5 -- 2018.7
Mitsubishi Electric Research Laboratory      Visiting Professor

[2] 2020.8 -- 2022.7
Florida Institute of Technology, USA      Department of Mechanical and Civil Engineering      Assistant Professor

[3] 2017.8 -- 2020.7
Georgia Southern University, USA      Department of Electrical and Computing Engineering      Assistant Professor

[1] Associate Editor, IEEE Transactions on Neural Networks and Learning Systems
Associate Editor, Control Engineering Practice
Associate Editor, IEEE/CAA Journal of Automatica Sinica
Associate Editor, Neurocomputing
Technical Program Committee Member, American Control Conference