Weinan Gao. Data-driven Adaptive Optimal Tracking and its Applications to Intelligent Transportation Systems. New York University, 2017.
Book Chapters
Weinan Gao, and Zhong-Ping Jiang. Data-driven Nonlinear Adaptive Optimal Control of Connected Vehicles. Neural Information Processing, Lecture Notes in Computer Science series , Springer, 2017.
Zhong-Ping Jiang, Tao Bian, and Weinan Gao. Learning-Based Control: A Tutorial and Some Recent Results, Foundations and Trends in Systems and Control: vol. 8, no. 3, pp 176–284, 2020. doi: 10.1561/2600000023.
Patents
Ankush Chakrabarty, Rien Quirynen, Claus Danielson, and Weinan Gao. System and Method for Data-Driven Control of Constrained System, 2020. United States Patent Application 20200285209.
Yebin Wang, and Weinan Gao. Data-Driven Nonlinear Output-Feedback Control of Power Generators , 2020. United States Patent Application United States Patent Application 20200310372.
Journal Articles
Jianguo Zhao, Chunyu Yang, Weinan Gao, Ju H. Park. Incremental reinforcement learning and optimal output regulation under unmeasurable disturbances, Automatica, regular paper, vol. 160, article 111468, 2024.
Jianguo Zhao, Chunyu Yang, Weinan Gao, Ju H. Park. Optimal Dynamic Controller Design for Linear Quadratic Tracking Problems, IEEE Transactions on Automatic Control, in press, 2024, doi: 10.1109/TAC.2023.3342057.
Yuchen Dong**, Weinan Gao* and Zhong-Ping Jiang. New Results in Coopeartive Adaptive Optimal Output Regulation, Journal of Systems Science & Complexity, vol. 37, no. 1, 253-272, 2024.
Jun Chen, Lei Zhang and Weinan Gao, Reconfigurable Model Predictive Control for Large Scale Distributed Systems, IEEE Systems Journal, in press, 2024, doi: 10.1109/JSYST.2024.3366911.
Hongliang Guo, Zhi He, Wenda Sheng, Zhiguang Cao, Yingjie Zhou and Weinan Gao, SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem, IEEE Transactions on Intelligent Transportation Systems, in press, 2024, doi: 10.1109/TITS.2024.3361445.
Omar Qasem**, Hector Gutierrez and Weinan Gao*. Experimental Validation of Data-Driven Adaptive Optimal Control for Continuous-Time Systems via Hybrid Iteration: An Application to Rotary Inverted Pendulum, IEEE Transactions on Industrial Electronics, vol. 71, no. 6, 6210-6220, 2024. doi: 10.1109/TIE.2023.3292873.
Masoud Davari, Weinan Gao*, Amir Aghazadeh, Frede Blaabjerg and Frank L. Lewis. An Optimal Synchronization Control Method of PLL Utilizing Adaptive Dynamic Programming to Synchronize Inverter-Based Resources With Unbalanced, Low-Inertia, and Very Weak Grids, IEEE Transactions on Automation Science and Engineering, in press, 2024.
Masoud Davari, Jianguo Zhao, Chunyu Yang, Weinan Gao* and Tianyou Chai. Reinforcement Learning to Stabilize Singularly Perturbed DC-Side Dynamics of Grid-Connected Voltage-Source Converters in Modern AC/DC Grids Using Singular Perturbation Theory and Adaptive Dynamics Programming, IEEE Transactions on Industrial Electronics, in press, 2024.
Omar Qasem**, Weinan Gao* and Kyriakos G. Vamvoudakis. Adaptive Optimal Control of Continuous-Time Nonlinear Affine Systems via Hybrid Iteration, Automatica, vol. 157, article 111261, 2023.
Yi Jiang, Weinan Gao, Ci Chen, Tianyou Chai and Frank L. Lewis. Adaptive Optimal Control of Linear Discrete-Time Networked Control Systems with Two-Channel Stochastic Dropouts, SIAM Journal on Control and Optimization, vol. 61, no. 5, 3183-3208, 2023.
Omar Qasem**, Weinan Gao*. Robust Policy Iteration of Uncertain Interconnected Systems With Imperfect Data, IEEE Transactions on Automation Science and Engineering, in acceptance, 2023, doi: 10.1109/TASE.2023.3276369.
Chao Deng, Weinan Gao*, Changyun Wen, Zhiyong Chen and Wei Wang. Data-Driven Practical Cooperative Output Regulation Under Actuator Faults and DoS Attacks, IEEE Transactions on Cybernetics, vol. 53, no. 11, 7417-7428, 2023. doi: 10.1109/TCYB.2023.3263480.
Jianguo Zhao, Chunyu Yang, Weinan Gao and Ju H. Park. ADP-Based Optimal Control of Linear Singularly Perturbed Systems with Uncertain Dynamics: A Two-Stage Value Iteration Method, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 12, 4399-4403, 2023. doi: 10.1109/TCSII.2023.3277528.
Amir Afshari, Masoud Davari*, Mehdi Karrari, Weinan Gao*, and Frede Blaabjerg. A Multivariable, Adaptive, Robust, Primary Control Enforcing Predetermined Dynamics of Interest in Islanded Microgrids Based on Grid-Forming Inverter-Based Resources, IEEE Transactions on Automation Science and Engineering, in press, 2023. doi: 10.1109/TASE.2023.3262852.
Jianguo Zhao, Chunyu Yang, Weinan Gao, Linna Zhou, and Xiaomin Liu. Adpative Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems, IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 3, pp. 1–13, 2024.
Omar Qasem**, Masoud Davari, Weinan Gao*, Daniel Kirk and Tianyou Chai. Hybrid Iteration ADP Algorithm to Solve Cooperative, Optimal Output Regulation Problem for Continuous-Time, Linear, Multi-Agent Systems: Theory and Application in Islanded Modern Microgrids with IBRs, IEEE Transactions on Industrial Electronics, vol. 71, no. 1, pp. 834-845, 2024. doi: 10.1109/TIE.2023.3247734.
Weinan Gao and Zhong-Ping Jiang. Data-Driven Cooperative Output Regulation of Multi-Agent Systems under Distributed Denial of Service Attacks, SCIENCE CHINA Information Sciences, vol. 66, article 190201, 2023. doi: 10.1007/s11432-022-3702-4.
Jianguo Zhao, Chunyu Yang, Weinan Gao and Linna Zhou. Reinforcement Learning and Optimal Control of PMSM Speed Servo System, IEEE Transactions on Industrial Electronics, vol. 70, no. 8, 8305-8313, 2023, doi: 10.1109/TIE.2022.3220886.
Jianguo Zhao, Chunyu Yang, Weinan Gao, Hamidreaz Modares, Xinkai Chen, and Wei Dai. Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method, Automatica, vol. 148, article 110761, 2023.
Yi Jiang, Weinan Gao, Jin Wu, Tianyou Chai, and Frank L. Lewis. Reinforcement Learning and Cooperative H_\infty Output Regulation of Linear Continuous-Time Multi-Agent Systems, Automatica, vol. 148, article 110768, 2023.
Fuyu Zhao, Weinan Gao*, Tengfei Liu, and Zhong-Ping Jiang. Event-Triggered Robust Adaptive Dynamic Programming with Output-Feedback for Large-Scale Systems, IEEE Transactions on Control of Network Systems, vol. 10, no. 1, 63-74, 2023, doi: 10.1109/TCNS.2022.3186623.
Yang Yang, Xin Fan, Weinan Gao, Wenbin Yue, Aaron Liu, Shuocong Geng, and Jinran Wu. Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming. IEEE Transactions on Fuzzy Systems, in press, 2023. doi: 10.1109/TFUZZ.2023.3245294.
Jingfan Zhang, Zhaoxiang Li, Shuai Wang, Yuan Dai, Ruirui Zhang, Jie Lai, Dongsheng Zhang, Ke Chen, Jie Hu, Weinan Gao, Jianshi Tang, Yu Zheng. Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach. Frontiers in Neurorobotics, in press, 2023. doi: 10.3389/fnbot.2022.1102259
Weinan Gao, Chao Deng, Yi Jiang, and Zhong-Ping Jiang. Resilient Reinforcement Learning and Robust Output Regulation Under Denial-of-Service Attacks, Automatica, vol. 142, article 110366, 2022.
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, vol. 3, no. 10, 5229-5240, 2022, doi: 10.1109/TNNLS.2021.3069728.
Hongyue Wu, Yunfeng Chen, Weinan Gao, Osahon Iroghama, and Junan Shen. Impacts of Countermeasures on Driving Performance through Drivers Attention in Rural Curves: A Driving Simulation Study, International Journal of Modelling, Identification and Control, in acceptance, 2022.
Weinan Gao and Zhong-Ping Jiang. Learning-based adaptive optimal output regulation of linear and nonlinear systems: An overview, Control Theory and Technology, vol. 20, 1-19, 2022, doi: 10.1007/s11768-022-00081-3.
Jianguo Zhao, Chunyu Yang, Weinan Gao and Linna Zhou. Reinforcement learning and optimal setpoint tracking control of linear systems with external disturbances, IEEE Transactions on Industrial Informatics, vol. 18, no. 11, 7770-7779, 2022, doi: 10.1109/TII.2022.3151797.
Fuyu Zhao, Weinan Gao*, Tengfei Liu, and Zhong-Ping Jiang. Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback, Automatica, vol. 137, article 110103, 2022, doi: 10.1016/j.automatica.2021.110103.
Yi Jiang , Weinan Gao*, Jing Na , Di Zhang, Timo T Hamalainen, Vladimir Stojanovic and Frank L. Lewis. Value iteration and adaptive optimal output regulation with assured convergence rate, Control Engineering Practice, vol. 121, article 105042, 2022, doi: /j.conengprac.2021.105042, Highly Cited Paper.
Jianguo Zhao, Chunyu Yang, and Weinan Gao. Reinforcement Learning Based Optimal Control of Linear Singularly Perturbed Systems, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 3, 1362-1366, 2022, doi: 10.1109/TCSII.2021.3105652.
Yongliang Yang, Weinan Gao, Hamidreza Modares, and Cheng-Zhong Xu. Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems with Unmodeled Dynamics, IEEE Transactions on Fuzzy Systems, vol. 30, no. 6, 2101-2112, 2022, doi: 10.1109/TFUZZ.2021.3075501, Hot Paper.
Zhongyang Wang, Yunjun Yu*, Weinan Gao*, Masoud Davari* and Chao Deng. Adaptive, optimal, virtual synchronous generator control of three-phase grid-connected inverters under different grid conditions---An adaptive dynamic programming approach. IEEE Transactions on Industrial Informatics, vol. 18, no. 11, 7388-7399, 2022, doi: 10.1109/TII.2021.3138893.
Jianguo Zhao, Chunyu Yang, Wei Dai and Weinan Gao. Reinforcement learning-based composite optimal operational control of industrial systems with multiple unit devices, IEEE Transactions on Industrial Informatics, vol. 18, no. 2, 1091-1101, 2022, doi: 10.1109/TII.2021.3076471.
Vladimir Djordjevic, Vladimir Stojanovic, Hongfeng Tao, Xiaona Song, Shuping He and Weinan Gao. Data driven control of hydraulic servo actuator based on adaptive dynamic programming, in press, Discrete and Continuous Dynamical Systems, American Institute of Mathematic Sciences, 2021, doi: 10.3934/dcdss.2021145, Highly Cited Paper.
Fuyu Zhao, Weinan Gao, Zhong-Ping Jiang and Tengfei Liu. Event-Triggered Adaptive Optimal Control Using Output Feedback: An Adaptive Dynamic Programming Approach, IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 11, 5208-5221, 2021. doi: 10.1109/TNNLS.2020.3027301.
Masoud Davari, Amir Aghazadeh, Weinan Gao, and Frede Blaabjerg. Detailed Dynamic DC Models of VSC considering Controls for DC-Fault Simulation in Modernized Microgrids, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 9, no. 4, 4514-4532, 2021, doi: 10.1109/JESTPE.2020.3036409.
Masoud Davari, Weinan Gao*, Zhong-Ping Jiang, Frank L. Lewis. An Adaptive Optimal Control Approach to the Primary Frequency Control of Islanded Modernized Microgrids Using Engine-Generators, IEEE Transactions on Automation Science and Engineering, vol. 18, no. 3, 1109-1121, 2021, doi: 10.1109/TASE.2020.2996160.
Yi Jiang, Jialu Fan, Weinan Gao, Tianyou Chai, Frank L. Lewis. Cooperative Adaptive Optimal Output Regulation of Nonlinear Discrete-Time Multi-Agent Systems, Automatica, vol. 121, article 109149, 2020.
Chao Deng, Weinan Gao*, Weiwei Che. Distributed Adaptive Fault-Tolerant Output Regulation of Heterogeneous Multi-Agent Systems with Coupling Uncertainties and Actuator Faults, IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 4, pp. 1098-1106, 2020.
Sherwin Davoud, Weinan Gao*, and Efrain Riveros-Perez. Adaptive optimal target controlled infusion algorithm to prevent hypotension associated with labour epidural: An adaptive dynamic programming approach, ISA Transactions, vol. 100, pp.74-81, 2020, doi: 10.1016/j.isatra.2019.11.017.
Masoud Davari, Weinan Gao*, and Frede Blaabjerg. A Fault-Tolerant, Passivity-Based Controller Enhanced by the Equilibrium-to-Equilibrium Maneuver Capability for the DC-Voltage Power Port VSC in Multi-Infeed AC/DC Modernized Grids, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 8, no. 3, 2484-2507, 2020, doi: 10.1109/JESTPE.2019.2917650.
Mohammed Mynuddin**, and Weinan Gao*. Distributed Predictive Cruise Control Based on Reinforcement Learning and Validation on Microscopic Traffic Simulation , IET Intelligent Transportation Systems, vol. 14, no. 5, pp. 270-277, 2020, doi: 10.1049/iet-its.2019.0404.
Jiaxin Teng, Weinan Gao, Dariusz Czarkowski, and Zhong-Ping Jiang. Optimal Tracking with Disturbance Rejection of Voltage Source Inverters, IEEE Transactions on Industrial Electronics, vol. 67. no. 6, 2020, pp. 4957 - 4968, 2020, doi: 10.1109/TIE.2019.2927177.
Adedapo Odekunle**, Weinan Gao*, Masoud Davari, and Zhong-Ping Jiang. Reinforcement learning and non-zero-sum game output regulation for multi-player linear uncertain systems, Automatica, vol. 112, article 108672, 2020, doi: 10.1016/j.automatica.2019.108672.
Masoud Davari, Weinan Gao*, and Frede Blaabjerg. Analysing Dynamics and Synthesizing a Robust Vector Control for the DC-Voltage Power Port Based on the Modular Multilevel Converter in Multi-Infeed AC/DC Smart Grids, IET Smart Grid, vol. 2. no. 4, 2019, pp. 645-658, doi: 10.1049/iet-stg.2019.0017.
Adedapo Odekunle**, Weinan Gao*, and Yebin Wang. Data-Driven Global Robust Optimal Output Regulation of Uncertain Partially Linear Systems, IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 5, pp. 1108-1115, 2019.
Xiangdong Liu, Haikuo Liu, Changkun Du, Pingli Lu, and Weinan Gao. Event-Triggered Output Consensus for Heterogeneous Multi-agent Systems with Fixed and Switching Directed Topologies , International Journal of Robust and Nonlinear Control, vol. 29, no. 14, pp. 4681-4699, 2019, doi: 10.1002/rnc.4647.
Weinan Gao, Jingqin Gao, Kaan Ozbay, and Zhong-Ping Jiang. Reinforcement-Learning-Based Cooperative Adaptive Cruise Control of Buses in the Lincoln Tunnel Corridor with Time-Varying Topology, IEEE Transactions on Intelligent Transportation Systems, vol. 20, no, 10, pp. 3796-3805, 2019, doi: 10.1109/TITS.2019.2895285.
Mengzhe Huang, Weinan Gao, Zhong-Ping Jiang and Yebin Wang. Data-Driven Shared Steering Control of Semi-Autonomous Vehicles. IEEE Transactions on Human-Machine Systems, vol. 49, no. 4, pp. 350-361, 2019, doi: 10.1109/THMS.2019.2900409.
Weinan Gao, Zhong-Ping Jiang. Adaptive optimal output regulation of time-delay systems via measurement feedback, IEEE Transactions on Neural Network and Learning Systems, vol. 30, no. 3, 938-945, 2019. doi: 10.1109/TNNLS.2018.2850520.
Mengzhe Huang, Weinan Gao, and Zhong-Ping Jiang. Connected Cruise Control with Delayed Feedback and Disturbance: An Adaptive Dynamic Programming Approach, International Journal of Adaptive Control and Signal Processing, vol. 33, no. 2, pp. 356-370, 2019, doi.org/10.1002/acs.2834.
Weinan Gao, Yu Jiang, and Masoud Davari. Data-Driven Cooperative Output Regulation of Multi-Agent Systems via Robust Adaptive Dynamic Programming, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 3, pp. 447-451, 2019. doi: 10.1109/TCSII.2018.2849639.
Weinan Gao, Adedapo Odekunle**, Yunfeng Chen, and Zhong-Ping Jiang. Predictive Cruise Control of Connected and Autonomous Vehicles via Reinforcement Learning, IET Control Theory & Applications, vol. 13., no. 17, pp. 2849-2855, 2019. doi: 10.1049/iet-cta/2018/6031.
Weinan Gao, Zhong-Ping Jiang, Frank L. Lewis, and Yebin 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. doi: 10.1109/TAC.2018.2799526.
Weinan Gao and Zhong-Ping Jiang. Learning-based adaptive optimal tracking control of strict-feedback nonlinear systems, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2614-2624, 2018.
Weinan Gao, Yiyang Liu, Adedapo Odekunle**, Yunjun Yu and Pingli Lu. Adaptive Dynamic Programming and Cooperative Output Regulation of Discrete-time Multi-agent Systems, International Journal of Control, Automation and Systems, vol. 16, no. 5, 2018. doi: 10.1007/s12555-017-0635-8.
Weitian Tong, Lei Chen, Scott Buglass, Weinan Gao and Jeffrey Li. An Advanced Private Social Activity Invitation Framework with Friendship Protection, Wireless Communications and Mobile Computing, vol. 2017, Article ID 1393026, 2017. doi.org/10.1155/2017/1393026.
Weinan Gao, Zhong-Ping Jiang, and Kaan Ozbay. Data-driven adaptive optimal control of connected vehicles, IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 5, pp. 1122-1133, 2017
Weinan Gao, and Zhong-Ping Jiang. Nonlinear and adaptive suboptimal control of connected vehicles: A global adaptive dynamic programming approach. Journal of Intelligent & Robotic Systems, vol. 85, no. 3, pp. 597-611, 2017
Weinan Gao, Yu Jiang, Zhong-Ping Jiang, and Tianyou Chai. Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming. Automatica, vol. 72, pp. 37-45, 2016
Weinan Gao, and Zhong-Ping 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, Highly Cited Paper.
Weinan Gao, Mengzhe Huang, Zhong-Ping Jiang, and Tianyou Chai. Sampled-data-based adaptive optimal output-feedback control of a 2-degree-of-freedom helicopter. IET Control Theory & Applications, vol. 10, pp. 1440-1447, 2016.
Zheng Fang, Weinan Gao, and Lei Zhang,.Robust adaptive integral backstepping control of a 3-DOF helicopter. International Journal of Advanced Robotic Systems, vol. 9, pp. 1-8, 2012.
Zheng Fang, and Weinan Gao. Adaptive backstepping control of an indoor micro-quadrotor. Research Journal of Applied Sciences, Engineering and Technology, vol. 4, no. 21, pp. 4216-4226, 2012.
(* Corresponding Author, ** My Student)
Conference Papers
Yuchenn Dong and Weinan Gao. Cooperative adaptive optimal output regulation of multi-agent systems with an application to connected and autonomous vehicles, IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), 2024.
Jianguo Zhao, Chunyu Yang, Linna Zhou and Weinan Gao. Adaptive Dynamic Programming and Decentralized Optimal Output Regulation of Two-Time-Scale Interconnected Systems, IEEE International Conference on Control, Automation and Information Sciences (ICCAIS), 2023, Best Paper Award.
Omar Qasem**, Weinan Gao and Hector Gutierrez. Adaptive Optimal Control for Discrete-Time Linear Systems via Hybrid Iteration, IEEE Data Driven Control and Learning Systems (DDCLS), 2023, Best Paper Award.
Weinan Gao and Zhong-Ping Jiang. Cooperative Output Regulation of Multi-Agent Systems under Distributed Denial of Service Attacks, Chinese Control Conference (CCC), 2023.
Sayn Chakraborty, Weinan Gao, Leilei Cui, Frank L. Lewis and Zhong-Ping Jiang. Learning-Based Adaptive Optimal Output Regulation of Discrete-Time Linear Systems, IFAC World Congress, 2023.
Liwei An, Weinan Gao, Chao Deng, Weiwei Che. Collision/Obstacle Avoidance Dynamic Formation Reconfiguration of High-Order Nonlinear Multi-Agent Systems, Chinese Control and Decision Conference, 2023, Zhang Siying Outstanding Youth Paper Award Finalist.
Omar Qasem**, Khalid Jebari** and Weinan Gao. Adaptive Dynamic Programming and Data-Driven Cooperative Optimal Output Regulation with Adaptive Observers, Conference on Decision and Control (CDC), 2022.
Yi Jiang and Weinan Gao. Value Iteration and Data-Driven Adaptive Optimal Output Regulation of Linear Continuous-Time Systems, Chinese Control and Decision Conference, 2022, Zhang Siying Outstanding Youth Paper Award Finalist.
Godwyll Aikins**, Sagar Jagtap** and Weinan Gao. Resilience Analysis of Deep Q-Learning Algorithms in Driving Simulations Against Cyberattacks, IEEE International Conference on AI in Cybersecurity, 2022.
Omar Qasem**, Weinan Gao and Tao Bian. Adaptive Optimal Control of Continuous-Time Linear Systems via Hybrid Iteration, IEEE Symposium Series on Computational Intelligence (SSCI), 2021.
Fuyu Zhao, Weinan Gao, Tengfei Liu, and Zhong-Ping Jiang. Policy Iteration and Event-Triggered Robust Adaptive Dynamic Programming for Large-Scale Systems, IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), 2021.
Jianguo Zhao, Chunyu Yang, Lina Zhou, and Weinan Gao. Model-Free Composite Control for a Class of Semi-Coupled Two-Time-Scale Systems: An Adaptive Dynamic Programming Approach, IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), 2021.
Fuyu Zhao, Weinan Gao, Tengfei Liu, and Zhong-Ping Jiang. Learning-based event-triggered adaptive optimal output regulation of linear discrete-time systems, IEEE Data Driven Control and Learning Systems Conference (IEEE DDCLS), 2021.
Tri Nguyen, Weinan Gao, Xiangnan Zhong, and Shaurya Agarwal Reinforcement Learning and Adaptive Optimal Control of Congestion Pricing, IFAC Symposium on Control in Transportation Systems, 2021.
Mohammed Mynuddin**, Weinan Gao, Zhong-Ping Jiang. Reinforcement Learning for Multi-Agent Systems with an Application to Distributed Predictive Cruise Control, American Control Conference, 2020.
Sherwin Davoud, Weinan Gao, and Efrain Riveros-Perez. Data-Driven Target Controlled Infusion Algorithm for Norepinephrine to Prevent Hypotension Associated with Labour Epidural: A Reinforcement Learning Approach, IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), 2019.
Ankush Chakabarty, Rien Quirynen, Claus Danielson, and Weinan Gao. Approximate Dynamic Programming For Linear Systems with State and Input Constraints, European Control Conference, 2019.
Yiyang Liu, Weinan Gao. Adaptive Optimal Output Regulation of Continuous-Time Linear Systems via Internal Model Principle, IEEE UEMCON, 2018.
Weinan Gao, Yiyang Liu, Adedapo Odekunle, Zhong-Ping Jiang, Yunjun Yu and Pingli Lu. Cooperative and Adaptive Optimal Output Regulation of Discrete-time Multi-agent Systems Using Reinforcement Learning, IEEE RCAR, 2018, Best Paper Award.
Adedapo Odekunle**, Weinan Gao, Chikamso Anayor**, Xi Wang** and Yunfeng Chen. Predictive Cruise Control of Connected and Autonomous Vehicles : An Adaptive Dynamic Programming Approach, IEEE SoutheastCon, 2018.
Chikamso Anayor**, Weinan Gao, Adedapo Odekunle**. Cooperative Adaptive Cruise Control of A Mixture of Human-driven and Autonomous Vehicles, IEEE SoutheastCon, 2018.
David Dylan John, Yunfeng Chen, Shahnam Navaee, and Weinan Gao. STEM Education from the Industry Practitioners’ Perspective, ASEE Annual Conference & Exposition, 2018.
Mengzhe Huang, Weinan Gao, Zhong-Ping Jiang, and Yebin Wang. Data-driven Shared Steering Control Design for Lane Keeping, IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), 2018.
Weinan Gao and Zhong-Ping Jiang, Adaptive Optimal Output Regulation of Discrete-time Linear Systems subject to Input Time-delay, American Control Conference, 2018.
Di Zhang, Zheng Chang, Timo Hämäläinen, and Weinan Gao, A Contract-based Resource Allocation Mechanism in Wireless Virtualized Network , IEEE INFOCOM, 2018
Weinan Gao, Zhong-Ping Jiang, Kaan Ozbay and Jingqin Gao, Data-driven Cooperative Adaptive Cruise Control of Buses on the Exclusive Bus Lane of the Lincoln Tunnel Corridor, TRB Annual Meeting, 2018.
Weinan Gao and Zhong-Ping Jiang, ADP and Adaptive Optimal Tracking of Strict-feedback Nonlinear Systems, IEEE Symposium Series on Computational Intelligence (SSCI), 2017.
Weinan Gao, Fernando Rios-Gutierrez, Weitian Tong, and Lei Chen, Cooperative adaptive cruise control of connected and autonomous vehicles subject to input saturation, IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), 2017, best paper award.
Mengzhe Huang, Weinan Gao, Zhong-Ping Jiang, Connected Cruise Control for a Platoon of Human-operated and Autonomous Vehicles Using Adaptive Dynamic Programming. Chinese Control Conference (CCC), 2017.
Weinan Gao, Zhong-Ping Jiang, Frank L. Lewis and Yebin Wang, Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming. American Control Conference (ACC), 2017.
Weinan Gao, and Zhong-Ping Jiang, Adaptive optimal output regulation via output-feedback: an adaptive dynamic programing approach. Conference on Decision and Control (CDC), 2016.
Mengzhe Huang, Weinan Gao, Zhong-Ping Jiang, A data-based lane-keeping steering control for autonomous vehicles: a Human-in-the-Loop approach. Chinese Control Conference (CCC), 2016.
Weinan Gao, and Zhong-Ping Jiang, Data-driven Adaptive Optimal Output-feedback Control of a 2-DOF Helicopter. American Control Conference (ACC), 2016.
Weinan Gao, Zhong-Ping Jiang, and Kaan Ozbay, Adaptive optimal control of connected vehicles, International Workshop on Robot Motion and Control (RoMoCo), 2015.
Weinan Gao, and Zhong-Ping Jiang, Linear optimal tracking control: an adaptive dynamic programming approach. American Control Conference (ACC), 2015.
Weinan Gao, and Zhong-Ping Jiang, Global optimal output regulation of partially linear systems via robust adaptive dynamic programming, IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), 2015.
Weinan Gao, Yu Jiang, Zhong-Ping Jiang and Tianyou Chai, Adaptive and optimal output feedback control of linear systems: an adaptive dynamic programming approach. World Congress on Intelligent Control and Automation (WCICA), 2014.
Weinan Gao, Jialu Fan and Yannong Li, Research on Neural Network PID Control Algorithm for a Quadrotor, International Conference on Control Engineering and Communication Technology, 2013.
Weinan Gao, Zheng Fang, Adaptive integral backstepping control for a 3-DOF helicopter. International Conference on Information and Automation (ICIA), 2012.
Zheng Fang, Weinan Gao, Adaptive integral backstepping control of a Micro-Quadrotor. International Conference on Intelligent Control and Information Processing (ICICIP), 2011.