Book & Chapters
2021
Yongliang Yang. Reinforcement Learning-Based Data-Driven Optimization and Control Design, 2022, Science Press, (in Chinese).
Yongliang Yang, Donald C. Wunsch and Yixin Yin. Adaptive Dynamic Programming in the Hamiltonian-Driven Framework, in Handbook of Reinforcement Learning and Control, doi:10.1007/978-3-030-60990-0_7, 2021, Springer, (Invited Chapter).
Journal Papers
2024
Yongliang Yang, Hamidreza Modares*, Kyriakos G Vamvoudakis, Frank L Lewis. Cooperative Finitely Excited Learning for Dynamical Games, IEEE Transactions on Cybernetics (TCYB-24), vol. 54, no. 2, 2024, IEEE.
Yongliang Yang, Yongping Pan*, Cheng-Zhong Xu and Donald C. Wunsch. Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay, IEEE Transactions on Neural Networks and Learning Systems (TNNLS-24), vol. 35, no. 3, 2024, IEEE.
Yongliang Yang, Guilong Liu, Qing Li, Choon Ki Ahn*. Multiple Adaptive Fuzzy Nussbaum-Type Functions Design for Stochastic Nonlinear Systems with Fixed-Time Performance, Fuzzy Sets and Systems (FSS-24), vol. 476, 2024, Elsevier.
Guilong Liu, Yongliang Yang*, Xiaowei Zhao, Choon Ki Ahn*. Novel Nussbaum Design for Nonlinear Systems with Unknown Switching Control Directions, IEEE Transactions on Circuits and Systems II: Express Briefs (TCASII-24), vol. 71, no. 4, 2024, IEEE.
2023
Yongliang Yang, Bahare Kiumarsi, Hamidreza Modares and Cheng-Zhong Xu*. Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation, IEEE Transactions on Neural Networks and Learning Systems (TNNLS-23), vol. 34, no. 2, 2023, IEEE.
Yongliang Yang, Liqiang Tang, Wencheng Zou, Choon Ki Ahn. Novel command-filtered Nussbaum design for continuous-time nonlinear dynamical systems with multiple unknown high-frequency gains, Nonlinear Dynamics (ND-23), vol. 111, no. 5, 2023, Springer.
Rui Wang, Liqiang Tang, Yongliang Yang*, Shuo Wang, Min Tan, Cheng-Zhong Xu. Adaptive trajectory tracking control with novel heading angle and velocity compensation for autonomous underwater vehicles, IEEE Transactions on Intelligent Vehicles (TIV-23a), vol. 8, no. 3, 2023, IEEE.
Botao Dong, Yunfei Lu, Wei Xie, Longyang Huang, Weixing Chen*, Yongliang Yang, and Weidong Zhang*. Robust Performance-Prescribed Attitude Control of Foldable Wave-Energy Powered AUV Using Optimized Backstepping Technique, IEEE Transactions on Intelligent Vehicles (TIV-23b), vol. 8, no. 2, 2023, IEEE.
Guilong Liu, Yongliang Yang*, Da-Wei Ding, Qing Li. Adaptive event-based fixed-time tracking design for strict-feedback nonlinear systems with unknown control coefficients, Neurocomputing (NEUCOM-23a), vol. 541, 2023, Elsevier.
Liqiang Tang, Yongliang Yang, Xianzhong Chen, Qing Li.* Nussbaum‐based robust adaptive control for nonlinear switching systems with switching unknown control coefficients, International Journal of Robust and Nonlinear Control (RNC-23), vol. 33, no. 10, 2023, Wiley.
Zhaoyang Cuan, Da-Wei Ding*, Yongliang Yang, Yunxia Xia. Adaptive neural network finite-time control for nonlinear cyber-physical systems with external disturbances under malicious attacks, Neurocomputing (NEUCOM-23b), vol. 541, 2023, Elsevier.
Shaolun Sun, Zejun Yu, Sen Zhang*, Wendong Xiao, Yongliang Yang. Reconstruction and classification of 3D burden surfaces based on two model drived data fusion, Expert Systems with Applications (ESWA-23), vol. 215, 2023, Elsevier.
2022
Yongliang Yang, Hamidreza Modares, Kyriakos G Vamvoudakis, Wei He, Cheng-Zhong Xu*, and Donald C Wunsch. Hamiltonian-driven adaptive dynamic programming with approximation errors, IEEE Transactions on Cybernetics (TCYB-22), vol. 52, no. 12, 2022, IEEE.
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 (TFS-22a), vol. 30, no. 6, 2022, IEEE.
Yongliang Yang and Cheng-Zhong Xu*. Adaptive Fuzzy Leader-Follower Synchronization of Constrained Heterogeneous Multiagent Systems, IEEE Transactions on Fuzzy Systems (TFS-22b), vol. 30, no. 1, 2022, IEEE.
Yongliang Yang, Liqiang Tang, Wencheng Zou, Da-Wei Ding, and Choon Ki Ahn*. A Unified Fixed-time Framework of Adaptive Fuzzy Controller Design for Unmodeled Dynamical Systems with Intermittent Feedback, Information Sciences (INS-22), vol. 611, 2022, Elsevier.
Yongliang Yang, Zihao Ding, Rui Wang, Hamidreza Modares and Donald C. Wunsch, Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning. IEEE/CAA Journal of Automatica Sinica (JAS-22), vol. 9, no. 1, 2022, IEEE.
Yongliang Yang, Liqiang Tang, Wencheng Zou, Jian Guo, and Choon Ki Ahn*. Dynamic event-triggered design with fixed-time performance and input dead-zone, IEEE Transactions on Circuits and Systems II: Express Briefs (TCASII-22), vol. 69, no. 11, 2022, IEEE.
Yongliang Yang, Hufei Zhu, Qichao Zhang, Bo Zhao*, Zhenning Li and Donald C. Wunsch. Sparse Online Kernelized Actor-Critic Learning in Reproducing Kernel Hilbert Space, Articial Intelligence Review (AIR-22), vol. 55, 2022, Springer.
Liqiang Tang, Yongliang Yang*, Wencheng Zou, and Ruizhuo Song. Neuro-Adaptive Fixed-time Control with Novel Command Filter Design for Nonlinear Systems with Input Dead-Zone, Neurocomputing (NEURO-22), vol. 511, 2022, Elsevier.
Liqiang Tang, Zihao Ding, Wencheng Zou, Yongliang Yang*. Command filtered adaptive output feedback design with novel Lyapunov-based analysis for nonlinear systems with unmodeled dynamics, Journal of the Franklin Institute (JFI-22), vol. 359, no. 13, 2022, Elsevier.
Majid Mazouchi, Yongliang Yang, and Hamidreza Modares*. Data-driven dynamic multiobjective optimal control: An aspiration-satisfying reinforcement learning approach, IEEE Transactions on Neural Networks and Learning Systems (TNNLS-22), vol. 33, no. 11, 2022, IEEE.
Wencheng Zou, Jiantao Zhou*, Yongliang Yang, and Zhengrong Xiang. Fully distributed optimal consensus for a class of second-order nonlinear multiagent systems with switching topologies, IEEE Systems Journal (SJ-22), vol. 17, 2022, IEEE.
2021
Yongliang Yang*, Hamidreza Modares, Kyraikos Vamvoudakis, Yixin Yin and Donald C. Wunsch. Hamiltonian-Driven Hybrid Adaptive Dynamic Programming, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMC-21), vol.51, no. 10, 2021, IEEE.
Yongliang Yang*, Zhijie Liu, Qing Li and Donald C. Wunsch. Output constrained adaptive controller design for nonlinear saturation systems, IEEE/CAA Journal of Automatica Sinica (JAS-21), vol. 8, no. 2, 2021, IEEE.
Yongliang Yang, Liqiang Tang, Wencheng Zou* and Da-Wei Ding. Robust adaptive control of uncertain nonlinear systems with unmodeled dynamics using command filter. International Journal of Robust and Nonlinear Control (RNC-21b), vol. 31, no. 16, 2021, Wiley.
Yongliang Yang, Majid Mazouchi, Hamidreza Modares*. Hamiltonian-driven Adaptive Dynamic Programming for Mixed H2/H∞ Performance Using Sum-of-Squares, International Journal of Robust and Nonlinear Control (RNC-21a), vol. 31, no.6, 2021, Wiley.
2020
Yongliang Yang*, Kyraikos Vamvoudakis, Hamidreza Modares, Yixin Yin and Donald C. Wunsch. Safe Intermittent Reinforcement Learning with Static and Dynamic Event Generators, IEEE Transactions on Neural Networks and Learning Systems (TNNLS-20), vol. 31, no. 12, 2020, IEEE.
Yongliang Yang*, Kyraikos Vamvoudakis, Hamidreza Modares, Yixin Yin and Donald C. Wunsch. Dynamic Intermittent Feedback Design For H1 Containment Control On A Directed Graph, IEEE Transactions on Cybernetics (TCYB-20), vol. 50, no. 8, 2020, IEEE.
Yongliang Yang*, Kyraikos G. Vamvoudakis, Hamidreza Modares. Safe Reinforcement Learning For Dynamical Games, International Journal of Robust and Nonlinear Control (RNC-20), vol. 30, no. 9, 2020, Wiley, (Cover paper).
Yongliang Yang, Da-Wei Ding*, Haoyi Xiong, Yixin Yin and Donald C. Wunsch. Online Barrier-Actor-Critic Learning for H1 Control with Full-State Constraints and Input Saturation, Journal of the Franklin Institute (JFI-20), vol. 357, no. 6, 2020, Elsevier.
Yongliang Yang, Zhijie Liu*, Haoyi Xiong and Yixin Yin. Adaptive singularity-free controller design of constrained nonlinear systems with prescribed performance, Neurocomputing (NEUCOM-20), vol. 417, no. 5, 2020, Elsevier.
2019
Yongliang Yang, Zhishan Guo, Haoyi Xiong, Da-Wei Ding*, Yixin Yin, and Donald C. Wunsch. Data-driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS-19), vol. 30, no. 12, 2019, IEEE.
Yongliang Yang, Hamidreza Modares, Donald C.Wunsch and Yixin Yin*. Optimal Containment Control of Unknown Heterogeneous Systems With Active Leaders. IEEE Transactions on Control Systems Technology (TCST-19), vol. 27, no. 3, 2019, IEEE.
Yongliang Yang*, Kyriakos G. Vamvoudakis, Henrique Ferraz and Hamidreza Modares. Dynamic intermittent Q-learning-based model-free suboptimal co-design of L2-stabilization. International Journal of Robust and Nonlinear Control (RNC-19), vol. 29, no. 9, 2019, Wiley.
2018
Yongliang Yang*, Hamidreza Modares, Donald C. Wunsch and Yixin Yin. LeaderFollower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS-18), vol. 29, no. 6, 2018, IEEE.
2017
Yongliang Yang*, Donald C.Wunsch and Yixin Yin. Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems. IEEE Transactions on Neural Networks and Learning Systems (TNNLS-17), vol. 28, no. 8, 2017, IEEE.
Yongliang Yang, Yixin Yin*, Donald C. Wunsch, Sen Zhang, Xianzhong Chen, Xiaoli Li, Shusen Cheng, Min Wu, Kang-Zhi Liu. Development of blast furnace burden distribution process modeling and control. ISIJ International (ISIJ-17), vol. 57, no. 8, 2017, J-Stage.
Conference Papers
2022
Liqiang Tang, Yongliang Yang*, Da-Wei Ding, Chengzong Xu. Adaptive Constrained Control of Nonlinear Systems with Time-Varying Delays and Unknown Control Directions. 41st Chinese Control Conference (CCC'22), Beijing, China, 2022, IEEE.
2021
Liqiang Tang, Yongliang Yang*, Yixin Yin and Wencheng Zou. Command Filtered Control for Time-Delay Systems with Asymmetric Full State Constraints. 2021 China Automation Congress (CAC'2021), Beijing, China, 2021, IEEE.
Liqiang Tang, Hufei Zhu, Yongliang Yang*, Wencheng Zou, Cheng-Zhong Xu, Yixin Yin. Output Feedback Design with Dynamic Surface for Nonlinear Systems with Unmodeled Dynamics. 40th Chinese Control Conference (CCC'21), Shanghai, China, 2021, IEEE.
2020
Yongliang Yang*, Hamidreza Modares, Kyriakos G. Vamvoudakis and Cheng Zhong Xu. Optimal Recursive Backstepping for Nonlinear Systems in a Strict-Feedback Form with Continuous and Intermittent Updates. 59th IEEE Conference on Decision and Control (CDC'20), Jeju Island, Republic of Korea, 2020, IEEE. (Invited Paper)
Majid Mazouchi, Yongliang Yang*, Hamidreza Modares. Data-Driven Dynamic Multi-Objective Optimal Control: A Hamiltonian-Inequality Driven Satiscing Reinforcement Learning Approach. 21st IFAC World Congress (IFAC'20), Germany, 2020, Elsevier.
Yongliang Yang*, Majid Mazouchi and Hamidreza Modares. Data-Driven Solutions to Mixed H2/H1 Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach. 4th IEEE Conference on Control Technology and Applications (CCTA'20), Montreal, Canada, 2020, IEEE.
Ailiang Xing, Yongliang Yang*, Bo Zhao, Da-Wei Ding and Yixin Yin. Observer-Based Adaptive Controller Design for Nonlinear Saturation Systems with Output Constraints. 3rd IFACWorkshop on Cyber-Physical and Human Systems (CPHS'20), Beijing, China, 2020, Elsevier.
2019
Yongliang Yang*, Kyriakos G. Vamvoudakis, Hamidreza Modares, Wei He, Yixin Yin and Donald C.Wunsch. Intermittent Safe Reinforcement Learning for Nonlinear Systems. 57th IEEE Conference on Decision and Control (CDC'19), Nice, France, 2019, IEEE, (Invited Paper).
Yongliang Yang*, Kyriakos G. Vamvoudakis, Hamidreza Modares, Wei He, Yixin Yin and Donald C. Wunsch. Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure. 2019 Annual American Control Conference (ACC'19), Philadelphia, United States, 2019, IEEE, (Invited Paper).
Liming Wang, Yongliang Yang*, Dawei Ding Yixin Yin, Zhishan Guo and Donald Wunsch. Yixin Yin, Zhishan Guo and Donald Wunsch. 2019 International Joint Conference on Neural Networks (IJCNN'19), Budapest, Hungary, 2019, IEEE.
Lu Li, Liming Wang, Yongliang Yang*, Jie Dong, Yixin Yin and Shusen Cheng. Model-Free Solution to the Discrete-Time Coupled Riccati Equation Using Off-Policy Reinforcement Learning. 38th Chinese Control Conference (CCC'19), Guangdong, China, 2019, IEEE.
2018
Yongliang Yang*, Kyriakos G. Vamvoudakis, Henrique Ferraz and Hamidreza Modares. Dynamic Intermittent Q-Learning for Systems with Reduced Bandwidth. 57th IEEE Conference on Decision and Control (CDC'18), Miami Beach, United States, 2018, IEEE, (Invited Paper).
Yongliang Yang*, Hamidreza Modares, Kyriakos G. Vamvoudakis, Yi-Xin Yin and Donald C. Wunsch. Model-Free Event-Triggered Containment Control of Multi-Agent Systems. 2018 Annual American Control Conference (ACC'18), Milwaukee, United States, 2018, IEEE.
Yongliang Yang*, Xianzhong Chen, Yixin Yin and Donald C. Wunsch. Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Reg-ulation of Continuous-Time Linear Systems. 2019 International Joint Conference on Neural Networks (IJCNN'18), Rio de Janeiro, Brazil, 2018, IEEE.
Yongliang Yang*, Kyriakos G. Vamvoudakis, Hamidreza Modares, Dawei Ding, Yixin Yin and Donald C. Wunsch. Dynamic Intermittent Suboptimal Control: Performance Quantication and Comparisons. 37th Chinese Control Conference (CCC'18), Wuhan, China, 2018, IEEE.
Yongliang Yang*, Dawei Ding, Yixin Yin and Donald C. Wunsch. Model-Free Semi-Global Output Regulation for Discrete-Time Linear Systems Subject To Input Amplitude Saturation. 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC'18), Nanjing, China, 2018, IEEE.
2017
Yongliang Yang*, Ruizhuo Song, Yixin Yin, Donald C. Wunsch and Hamidreza Modares. Containment Control of Heterogeneous Systems with Active Leaders of Bounded Unknown Control using Reinforcement Learning. 2017 IEEE Symposium Series on Computational Intelligence (SSCI'17), Hawaii, United States, 2017, IEEE.
Yongliang Yang*, Donald C. Wunsch and Yixin Yin. Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems. 2017 International Joint Conference on Neural Networks (IJCNN'17), Anchorage, Uniteed States, 2017, IEEE.
Yongliang Yang*, Donald Wunsch, Zhishan Guo and Yixin Yin. Hamiltonian Driven Adaptive Dynamic Programming Based on Extreme Learning Machine. 14th International Symposium on Neural Networks (ISNN'17), Sapporo, Japan, 2017, Springer.
Yongliang Yang*, Zhishan Guo, Donald C. Wunsch and Yixin Yin. Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems. 36th Chinese Control Conference (CCC'17), Dalian, China, 2017, IEEE.