发表论文
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Online adaptive dynamic programming for optimal self-learning control of VTOL aircraft systems with disturbances. Ieee Transactions on Automation Science and Engineering[J]. 2023, 第 1 作者[6] Wei, Qinglai, Li, Tao. Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, 第 1 作者http://dx.doi.org/10.1109/TNNLS.2023.3237586.[7] Wei, Qinglai, Li, Hongyang, Wang, FeiYue. A Novel Parallel Control Method for Continuous-Time Linear Output Regulation With Disturbances. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2023, 第 1 作者53(6): 3760-3770, http://dx.doi.org/10.1109/TCYB.2021.3128231.[8] Yang, Xiong, Xu, Mengmeng, Wei, Qinglai. Approximate Dynamic Programming for Event-Driven H 8 Constrained Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 第 3 作者53(9): 5922-5932, http://dx.doi.org/10.1109/TSMC.2023.3277737.[9] Wei, Qinglai, Liu, Yujia, Lu, Jingwei, Ling, Jun, Luan, Zhenhua, Chen, Mingliang. A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler-Turbine Systems. OPTIMAL CONTROL APPLICATIONS & METHODS[J]. 2023, 第 1 作者 通讯作者 44(2): 830-845, http://dx.doi.org/10.1002/oca.2792.[10] Yang, Xiong, Xu, Mengmeng, Wei, Qinglai. Adaptive Dynamic Programming for Nonlinear-Constrained H-8 Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 第 3 作者53(7): 4393-4403, http://dx.doi.org/10.1109/TSMC.2023.3247888.[11] 魏庆来. Robust optimal parallel tracking control based on adaptive dynamic programming. IEEE Transactions on Cybernetics[J]. 2023, 第 1 作者[12] 魏庆来. A self-attention based deep reinforcement learning approach for AGV dispatching systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, 第 1 作者[13] Wei, Qinglai, Song, Ruizhuo, Zhang, Pinjia, Wu, Zongze. Data-based learning control for optimization of nonlinear systems. OPTIMAL CONTROL APPLICATIONS & METHODS[J]. 2023, 第 1 作者 通讯作者 44(3): 1055-1057, http://dx.doi.org/10.1002/oca.2979.[14] Lu, Jingwei, Han, Liyuan, Wei, Qinglai, Wang, Xiao, Dai, Xingyuan, Wang, FeiYue. Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES[J]. 2023, 第 3 作者8(4): 2821-2831, http://dx.doi.org/10.1109/TIV.2023.3262132.[15] 魏庆来. VGN: Value decomposition with graph attention network for multi-agent reinforcement learning. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2023, 第 1 作者[16] Yang, Xiong, Xu, Mengmeng, Wei, Qinglai. Approximate Dynamic Programming for Event-Driven H-8 Constrained Control. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS. 2023, 第 3 作者http://dx.doi.org/10.1109/TSMC.2023.3277737.[17] Wei, Qinglai, Li, Hongyang, Li, Tao, Wang, FeiYue. A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2023, 第 1 作者53(5): 3176-3186, http://dx.doi.org/10.1109/TSMC.2022.3223910.[18] Su, Shuai, Zhu, Qingyang, Liu, Junqing, Tang, Tao, Wei, Qinglai, Cao, Yuan. A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS[J]. 2023, 第 5 作者19(7): 7885-7893, http://dx.doi.org/10.1109/TII.2022.3195888.[19] Li, Hongyang, Wei, Qinglai. Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2023, 第 2 作者 通讯作者 http://dx.doi.org/10.1109/TASE.2023.3289950.[20] HongyangLI, QinglaiWEI. Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game. Frontiers of Information Technology & Electronic Engineering[J]. 2022, 第 2 作者 通讯作者 23(7): 1010-1019, https://journal.hep.com.cn/ckcest/fitee/EN/10.1631/FITEE.2200010.[21] Yang, Dongsheng, Sun, Yunhe, Wei, Qinglai, Zhang, Huaguang, Li, Ting. Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 第 3 作者52(9): 6015-6027, [22] Lu, Jingwei, Wei, Qinglai, Zhou, Tianmin, Wang, Ziyang, Wang, FeiYue. Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2022, 第 2 作者http://dx.doi.org/10.1109/TCYB.2022.3164977.[23] Lu, Jingwei, Wei, Qinglai, Wang, Ziyang, Zhou, Tianmin, Wang, FeiYue. Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control. 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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2022, 第 4 作者52(7): 4187-4199, http://dx.doi.org/10.1109/TSMC.2021.3089944.[32] Wei, Qinglai, Yan, Yutian, Zhang, Jie, Xiao, Jun, Wang, Cong. A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems. IEEE Transactions on Neural Networks and Learning Systems[J]. 2022, 第 1 作者http://dx.doi.org/10.1109/TNNLS.2022.3222206.[33] Qinglai Wei. A novel parallel control method for continuous-time linear output regulation with disturbances. IEEE Transactions on Cybernetics[J]. 2022, 第 1 作者[34] Qinglai Wei. Event-triggered near-optimal control of discrete-time constrained nonlinear systems with application to a boiler-turbine system. IEEE Transactions on Industrial Informatics[J]. 2022, 第 1 作者[35] Wei, Qinglai, Yang, Zesheng, Su, Huaizhong, Wang, Lijian. Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems. 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