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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.org/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 — Yangzhou University, College of Information Engineering, Yangzhou, China (and 1 more)
- 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
- Min Wang 0034 — National University of Defense Technology, China
- Min Wang 0035 — Hunan University of Science and Technology, School of Chemistry and Chemical Engineering, Xiangtan, China
- Min Wang 0036 — Tiangong University, College of Life Sciences, Tianjin, China
Other persons with a similar name
- Chien-Min Wang
- Hsin-Min Wang — Academia Sinica, Taipei, Taiwan (and 1 more)
- Jiamin Wang (aka: JiaMin Wang, Jia-min Wang, Jia-Min Wang) — disambiguation page
- Jun-Min Wang
- Yi-Min Wang
- Zhongmin Wang (aka: Zhong-Min Wang) — disambiguation page
- Zongmin Wang (aka: Zong-Min Wang)
- Jianmin Wang 0001 (aka: Jian-min Wang 0001) — Tsinghua University, School of Software, Beijing, China
- Liangmin Wang 0001 (aka: Liang-Min Wang 0001) — Southeast University, School of Cyber Science and Engineering, Nanjing, China (and 2 more)
- Zhongmin Wang 0001 (aka: Zhong-Min Wang 0002) — Xi'an University of Posts and Telecommunications, School of Computer Science and Technology, Xi'an, China (and 2 more)
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2020 – today
- 2024
[j50]Min Wang, Penghai Wen, Xiangpeng Xie, Cong Wang:
A New Neural Dynamic Learning Framework for Discrete-Time Strict-Feedback Systems: Internal Interaction-Based Weight Adaptive Laws. IEEE Trans. Cybern. 54(7): 4216-4228 (2024)- [j49]Min Wang, Hongjing Liang, Yingnan Pan, Xiangpeng Xie:
A New Privacy Preservation Mechanism and a Gain Iterative Disturbance Observer for Multiagent Systems. IEEE Trans. Netw. Sci. Eng. 11(1): 392-403 (2024) - 2023
- [j48]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) - [j47]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) - [j46]Min Wang, Liang Cao, Hongjing Liang, Wenbin Xiao:
Simplified reinforcement learning control algorithm for p-norm multiagent systems with full-state constraints. Neurocomputing 551: 126504 (2023) - [j45]Min Wang, Hongjing Liang, Liang Cao, Hongru Ren:
Simplified optimised prescribed performance control for high-order multiagent systems with privacy preservation. Int. J. Syst. Sci. 54(9): 2004-2020 (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) - [c10]Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen:
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. IJCAI 2022: 3839-3846 - [c9]Xiang Huang, Zhanhong Ye, Hongsheng Liu, Shi Ji, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. NeurIPS 2022 - [i7]Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, Yuan Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao:
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction. CoRR abs/2206.12240 (2022) - [i6]Jun Zhang, Sirui Liu, Mengyun Chen, Haotian Chu, Min Wang, Zidong Wang, Jialiang Yu, Ningxi Ni, Fan Yu, Diqing Chen, Yi Isaac Yang, Boxin Xue, Lijiang Yang, Yuan Liu, Yi Qin Gao:
Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction. CoRR abs/2208.09652 (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 - [i5]Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. CoRR abs/2111.01394 (2021) - [i4]Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. CoRR abs/2111.08823 (2021) - 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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