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ORCIDMin Wang 0003
Person information
- affiliation: South China University of Technology, School of Automation Science and Engineering, Guangzhou Key Laboratory of Brain Computer Interaction and Applications, China
- affiliation (PhD 2009): Qingdao University, Institute of Complexity Science, China
Other persons with the same name
- Min Wang — disambiguation page
- Min Wang 0001 — Google Research, Mountain View, CA, USA (and 3 more)
- Min Wang 0002 — Huazhong University of Science and Technology, Department of Control Science and Engineering, Intelligent Control and Robotics Laboratory, Wuhan, China (and 1 more)
- Min Wang 0004
![[0000-0002-9233-7844]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-9233-7844")
— Texas Tech University, Department of Mathematics and Statistics, Lubbock, TX, USA (and 2 more) - Min Wang 0005 — Nanjing University of Posts and Telecommunications, College of Computer Science and Technology, China
- Min Wang 0006 — National Institute of Metrology, Division of Mechanics and Acoustics, Beijing, China (and 1 more)
- Min Wang 0007 — Xidian University, Department of Electrical Engineering, Institute of Intelligent Information Processing, Xi'an, China
- Min Wang 0008 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Ministerial Key Laboratory of JGMT, China
- Min Wang 0009 — University of New South Wales, School of Engineering and Information Technology, Campbell, ACT, Australia
- Min Wang 0010 — University of Bayreuth, Germany
- Min Wang 0011 — Beihang University, Institute of Robotics, School of Mechanical Engineering and Automation, Beijing, China
- Min Wang 0012 — Southeast University, School of Economics and Management, Nanjing, China
- Min Wang 0013 — Shanghai University, Institute of Biomedical Engineering, School of Communication and information Engineering, China
- Min Wang 0014 — Shanghai Jiao Tong University, Department of Micro/Nano Electronics, China
- Min Wang 0015 — Hunan Agricultural University, College of Science, Changsha, China
- Min Wang 0016 — Sichuan University, Chengdu, College of Electronics and Information Engineering, China (and 1 more)
- Min Wang 0017 — Wuhan University, School of Computer Science, China
- Min Wang 0018 — Daqing Oilfield Limited Company, Logging and Testing Services Company, China
- Min Wang 0019 — Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, China (and 1 more)
- Min Wang 0020 — Gannan Normal University, School of Mathematics and Computer Science, Ganzhou, China (and 1 more)
- Min Wang 0021 — Hefei University of Technology, China
- Min Wang 0022 — University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China
- Min Wang 0023 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Min Wang 0024 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Min Wang 0025 — Kennesaw State University, Department of Mathematics, Marietta, GA, USA (and 4 more)
- Min Wang 0026 — China University of Petroleum, College of Control Science and Engineering, Qingdao, China
- Min Wang 0027 — National University of Defense Technology, College of Meteorology and Oceanography, Nanjing, China (and 1 more)
- Min Wang 0028 — Chongqing University of Posts and Telecommunications, School of Optoelectronics Engineering, China (and 1 more)
- Min Wang 0029 — East China Jiaotong University, School of Information Engineering, Nanchang, China
- Min Wang 0030 — Northeastern University at Qinhuangdao, School of Economics, China
- Min Wang 0031 — Southwest Petroleum University, Chengdu, China
- Min Wang 0032 — City University of Hong Kong, Department of Mechanical Engineering, China
- Min Wang 0033 — Beihang University, Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, China
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2020 – today
- 2023
[j46]Kai-Xin Gao, Zheng-Hai Huang, Xiaolei Liu, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu:
Eigenvalue-Corrected Natural Gradient Based on a New Approximation. Asia Pac. J. Oper. Res. 40(1): 2340005:1-2340005:18 (2023)- [j45]Min Wang, Lixue Wang, Chenguang Yang:
Sliding mode differentiator-based event-triggered control for state-constrained nonlinear systems with unknown virtual control coefficients. Int. J. Control 96(3): 599-613 (2023) - [j44]Haotian Shi, Min Wang, Cong Wang:
Neural Learning Control for Discrete-Time Strict-Feedback Systems: An Error Estimate Method. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3439-3443 (2023) - [j43]Haotian Shi, Min Wang, Cong Wang:
Leader-Follower Formation Learning Control of Discrete-Time Nonlinear Multiagent Systems. IEEE Trans. Cybern. 53(2): 1184-1194 (2023) - [j42]Lixue Wang, Min Wang, Wenchao Meng:
System Transformation-Based Event-Triggered Fuzzy Control for State Constrained Nonlinear Systems With Unknown Control Directions. IEEE Trans. Fuzzy Syst. 31(7): 2331-2344 (2023) - [j41]Min Wang, Kunning Wang, Longwang Huang, Haotian Shi:
Observer-Based Event-Triggered Tracking Control for Discrete-Time Nonlinear Systems Using Adaptive Critic Design. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5393-5403 (2023) - 2022
- [j40]Min Wang, Haotian Shi, Cong Wang, Jun Fu:
Neural learning control for discrete-time nonlinear systems in pure-feedback form. Sci. China Inf. Sci. 65(2) (2022) - [j39]Min Wang, Haotian Shi, Cong Wang:
Distributed Cooperative Learning for Discrete-Time Strict-Feedback Multi Agent Systems Over Directed Graphs. IEEE CAA J. Autom. Sinica 9(10): 1831-1844 (2022) - [j38]Haotian Shi, Min Wang, Cong Wang:
Pattern-based autonomous smooth switching control for constrained flexible joint manipulator. Neurocomputing 492: 162-173 (2022) - [j37]Min Wang, Lixue Wang:
Finite-time performance guaranteed event-triggered adaptive control for nonlinear systems with unknown control direction. J. Frankl. Inst. 359(6): 2463-2486 (2022) - [j36]Min Wang, Yongtao Zou, Chenguang Yang:
System Transformation-Based Neural Control for Full-State-Constrained Pure-Feedback Systems via Disturbance Observer. IEEE Trans. Cybern. 52(3): 1479-1489 (2022) - [j35]Longwang Huang, Min Wang:
Filter-Based Event-Triggered Adaptive Fuzzy Control for Discrete-Time MIMO Nonlinear Systems With Unknown Control Gains. IEEE Trans. Fuzzy Syst. 30(9): 3673-3684 (2022) - [j34]Min Wang, Haotian Shi, Cong Wang, Jun Fu:
Dynamic Learning From Adaptive Neural Control for Discrete-Time Strict-Feedback Systems. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3700-3712 (2022) - [j33]Min Wang, Fenghua Ou, Haotian Shi, Chenguang Yang, Xiaoping Liu:
Model-Based Adaptive Event-Triggered Tracking Control of Discrete-Time Nonlinear Systems Subject to Strict-Feedback Form. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4557-4568 (2022) - 2021
- [j32]Min Wang, Lixue Wang, Ruipeng Huang, Chenguang Yang:
Event-based disturbance compensation control for discrete-time SPMSM with mismatched disturbances. Int. J. Syst. Sci. 52(4): 785-804 (2021) - [j31]Min Wang, Zidong Wang, Hongli Dong, Qing-Long Han:
A Novel Framework for Backstepping-Based Control of Discrete-Time Strict-Feedback Nonlinear Systems With Multiplicative Noises. IEEE Trans. Autom. Control. 66(4): 1484-1496 (2021) - [j30]Min Wang, Longwang Huang, Chenguang Yang:
NN-Based Adaptive Tracking Control of Discrete-Time Nonlinear Systems With Actuator Saturation and Event-Triggering Protocol. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7613-7621 (2021) - [c8]Mengyun Chen, Kai-Xin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zheng-Hai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu:
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation. AAAI 2021: 7046-7054 - [c7]Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu:
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient. AAAI 2021: 7519-7527 - [c6]Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang:
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. CVPR 2021: 13479-13487 - 2020
- [j29]Min Wang, Yanwen Zhang, Cong Wang:
Learning from neural control for non-affine systems with full state constraints using command filtering. Int. J. Control 93(10): 2392-2406 (2020) - [j28]Min Wang, Zidong Wang, Yun Chen, Weiguo Sheng:
Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems. IEEE Trans. Cybern. 50(7): 2946-2958 (2020) - [j27]Min Wang, Zidong Wang, Yun Chen, Weiguo Sheng:
Observer-Based Fuzzy Output-Feedback Control for Discrete-Time Strict-Feedback Nonlinear Systems With Stochastic Noises. IEEE Trans. Cybern. 50(8): 3766-3777 (2020) - [j26]Min Wang, Zidong Wang, Yun Chen, Weiguo Sheng:
Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1968-1981 (2020) - [i3]Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu:
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient. CoRR abs/2011.10741 (2020) - [i2]Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu:
Eigenvalue-corrected Natural Gradient Based on a New Approximation. CoRR abs/2011.13609 (2020) - [i1]Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang:
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy. CoRR abs/2012.13077 (2020)
2010 – 2019
- 2019
- [j25]Jing Luo, Chenguang Yang, Qiang Li, Min Wang:
A Task Learning Mechanism for the Telerobots. Int. J. Humanoid Robotics 16(2): 1950009:1-1950009:19 (2019) - [j24]Peng Lin, Min Wang, Cong Wang, Jun Fu:
Abrupt stall detection for axial compressors with non-uniform inflow via deterministic learning. Neurocomputing 338: 163-171 (2019) - [j23]Jing Luo, Chenguang Yang, Ning Wang, Min Wang:
Enhanced teleoperation performance using hybrid control and virtual fixture. Int. J. Syst. Sci. 50(3): 451-462 (2019) - [j22]Jun Xia, Yujia Zhang, Chenguang Yang, Min Wang, Andy S. K. Annamalai:
An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions. Int. J. Syst. Sci. 50(3): 638-651 (2019) - [j21]Chenguang Yang, Chuize Chen, Ning Wang, Zhaojie Ju, Jian Fu, Min Wang:
Biologically Inspired Motion Modeling and Neural Control for Robot Learning From Demonstrations. IEEE Trans. Cogn. Dev. Syst. 11(2): 281-291 (2019) - [j20]Shude He, Min Wang, Shi-Lu Dai, Fei Luo:
Leader-Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance. IEEE Trans. Ind. Informatics 15(1): 572-581 (2019) - [j19]Chenguang Yang, Chao Zeng, Yang Cong, Ning Wang, Min Wang:
A Learning Framework of Adaptive Manipulative Skills From Human to Robot. IEEE Trans. Ind. Informatics 15(2): 1153-1161 (2019) - [j18]Shi-Lu Dai, Shude He, Min Wang, Chengzhi Yuan:
Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3686-3698 (2019) - 2018
- [j17]Xin Liu, Chenguang Yang, Zhiguang Chen, Min Wang, Chun-Yi Su:
Neuro-adaptive observer based control of flexible joint robot. Neurocomputing 275: 73-82 (2018) - 2017
- [j16]Min Wang, Yanwen Zhang, Huiping Ye:
Dynamic Learning from Adaptive Neural Control of Uncertain Robots with Guaranteed Full-State Tracking Precision. Complex. 2017: 5860649:1-5860649:14 (2017) - [j15]Min Wang, Huiping Ye, Zhiguang Chen:
Neural Learning Control of Flexible Joint Manipulator with Predefined Tracking Performance and Application to Baxter Robot. Complex. 2017: 7683785:1-7683785:14 (2017) - [j14]Peng Lin, Cong Wang, Min Wang:
Bifurcation Predication in Axial Compressors with Nonuniform Inflow via Deterministic Learning. Int. J. Bifurc. Chaos 27(10): 1750159:1-1750159:10 (2017) - [j13]Min Wang, Anle Yang:
Dynamic Learning From Adaptive Neural Control of Robot Manipulators With Prescribed Performance. IEEE Trans. Syst. Man Cybern. Syst. 47(8): 2244-2255 (2017) - [c5]Xin Liu, Chenguang Yang, Min Wang, Wei He:
A PD Controller of Flexible Joint Manipulator Based on Neuro-Adaptive Observer. ICONIP (6) 2017: 355-364 - [c4]Min Wang, Yanwen Zhang:
Guaranteeing Predefined Full State Constraints for Non-Affine Nonlinear Systems Using Neural Networks. ICONIP (6) 2017: 376-383 - [c3]Huifeng Lin, Chenguang Yang, Silu Chen, Ning Wang, Min Wang, Zhaojie Ju:
Structure modelling of the human body using FGMM. CIS/RAM 2017: 809-814 - 2016
- [j12]Shi-Lu Dai, Min Wang, Cong Wang:
Neural Learning Control of Marine Surface Vessels With Guaranteed Transient Tracking Performance. IEEE Trans. Ind. Electron. 63(3): 1717-1727 (2016) - [j11]Min Wang, Cong Wang, Peng Shi, Xiaoping Liu:
Dynamic Learning From Neural Control for Strict-Feedback Systems With Guaranteed Predefined Performance. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2564-2576 (2016) - 2015
- [j10]Ying-Jiu Liang, Ruicheng Ma, Min Wang, Jun Fu:
Global finite-time stabilisation of a class of switched nonlinear systems. Int. J. Syst. Sci. 46(16): 2897-2904 (2015) - [j9]Min Wang, Cong Wang:
Learning From Adaptive Neural Dynamic Surface Control of Strict-Feedback Systems. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1247-1259 (2015) - 2014
- [j8]Min Wang, Cong Wang, Xiaoping Liu:
Dynamic learning from adaptive neural control with predefined performance for a class of nonlinear systems. Inf. Sci. 279: 874-888 (2014) - [j7]Shi-Lu Dai, Cong Wang, Min Wang:
Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 25(1): 111-123 (2014) - 2013
- [c2]Shi-Lu Dai, Min Wang, Cong Wang, Liejun Li:
Learning from Adaptive Neural Output Feedback Control of Robot Manipulators. ICONS 2013: 737-742 - 2012
- [j6]Cong Wang, Min Wang, Tengfei Liu, David J. Hill:
Learning From ISS-Modular Adaptive NN Control of Nonlinear Strict-Feedback Systems. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1539-1550 (2012) - [c1]Min Wang, Cong Wang:
Learning from adaptive neural control for a class of pure-feedback systems. ICARCV 2012: 76-81 - 2010
- [j5]Min Wang, Siying Zhang, Bing Chen, Fei Luo:
Direct adaptive neural control for stabilization of nonlinear time-delay systems. Sci. China Inf. Sci. 53(4): 800-812 (2010)
2000 – 2009
- 2008
- [j4]Min Wang, Bing Chen, Xiaoping Liu, Peng Shi:
Adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear time-delay systems. Fuzzy Sets Syst. 159(8): 949-967 (2008) - [j3]Min Wang, Bing Chen, Kefu Liu, Xiaoping Liu, Siying Zhang:
Adaptive fuzzy tracking control of nonlinear time-delay systems with unknown virtual control coefficients. Inf. Sci. 178(22): 4326-4340 (2008) - [j2]Min Wang, Bing Chen, Peng Shi:
Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems. IEEE Trans. Syst. Man Cybern. Part B 38(3): 721-730 (2008) - 2007
- [j1]Min Wang, Bing Chen, Shi-Lu Dai:
Direct adaptive fuzzy tracking control for a class of perturbed strict-feedback nonlinear systems. Fuzzy Sets Syst. 158(24): 2655-2670 (2007)
Coauthor Index
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