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ORCIDCong Wang 0007
Person information
- affiliation: Shandong University, School of Control Science and Engineering, Jinan, China
- affiliation: South China University of Technology, School of Automation, Guangzhou, China
- affiliation (2001 - 2004): City University of Hong Kong, Hong Kong
- affiliation (PhD 2002): National University of Singapore, Singapore
Other persons with the same name
- Cong Wang — disambiguation page
- Cong Wang 0001
![[0000-0003-0547-315X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0547-315X")
— City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more) - Cong Wang 0002 — Simon Fraser University, Burnaby, Canada
- Cong Wang 0003 — Beijing University of Posts and Telecommunications, School of Software Engineering, China
- Cong Wang 0004 — Tianjin University of Science and Technology, College of Computer Science and Information Engineering, China (and 1 more)
- Cong Wang 0005 — Harbin Institute of Technology, School of Electronics and Information Engineering, China (and 1 more)
- Cong Wang 0006 — George Mason University, USA (and 2 more)
- Cong Wang 0008 — Army Engineering University of PLA, College of Communications Engineering, Nanjing, China
- Cong Wang 0009 — Northeastern University at Qinhuangdao, School of Computer and Communication Engineering, China
- Cong Wang 0010 — École Polytechnique Fédérale de Lausanne, Switzerland
- Cong Wang 0011 — Southeast University, National Mobile Commutation Research Laboratory, Nanjing, China (and 1 more)
- Cong Wang 0012 — University of California Santa Cruz, CA, USA (and 2 more)
- Cong Wang 0013 — Northwestern Polytechnical University, School of Computer Science, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Xi'an, China
- Cong Wang 0014 — University of North Carolina at Chapel Hill, NC, USA (and 1 more)
- Cong Wang 0015 — New Jersey Institute of Technology, Newark, NJ, USA (and 1 more)
- Cong Wang 0016 — Wright State University, Dayton, OH, USA
- Cong Wang 0017 — Tianjin University, College of Intelligence and Computing, China
- Cong Wang 0018 — Hong Kong Polytechnic University, Department of Computing, Hong Kong (and 1 more)
- Cong Wang 0019 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Cong Wang 0020 — Tsinghua University, School of Software, KLISS, BNRist, Beijing, China
- Cong Wang 0021 — University of Queensland, Queensland Brain Institute, Saint Lucia, QLD, Australia (and 1 more)
- Cong Wang 0022 — Macquarie University, Department of Economics, Sydney, NSW, Australia
- Cong Wang 0023 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Cong Wang 0024 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
- Cong Wang 0025 — Singapore-MIT Alliance for Research and Technology, Singapore (and 1 more)
- Cong Wang 0026 — Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
- Cong Wang 0027 — Chinese Academy of Sciences, Shenyang Institute of Automation, China (and 1 more)
- Cong Wang 0028 — Nanjing University of Aeronautics and Astronautics, Department of Biomedical Engineering, China
- Cong Wang 0029 — Capital Normal University, School of Mathematical Sciences, Beijing, China (and 1 more)
- Cong Wang 0030 — China University of Mining and Technology, School of Mechanical, Electronic and Information Engineering, Beijing, China
- Cong Wang 0031 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Jiangsu Key Laboratory of Medical Optics, China (and 1 more)
- Cong Wang 0032 (aka: Cherry Cong Wang) — University of Washington, Information School, Seattle, WA, USA
- Cong Wang 0033 — Northwestern Polytechnical University, School of Artificial Intelligence, OPtics and ElectroNics, iOPEN, Xi'an, China (and 2 more)
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Journal Articles
- 2024
[j94]Qinchen Yang, Fukai Zhang, Cong Wang:
Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems. IEEE CAA J. Autom. Sinica 11(5): 1227-1238 (2024)- [j93]Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, Juanjuan Xu, Cong Wang:
Deterministic learning-based neural identification and knowledge fusion. Neural Networks 169: 165-180 (2024) - [j92]Qinghua Sun, Jiali Li, Chunmiao Liang, Rugang Liu, Jiaojiao Pang, Yuguo Chen, Cong Wang:
Multiscale Joint Recurrence Quantification Analysis Integrating ECG Spatiotemporal and Dynamic Information for Cardiopathy Detection. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j91]Bing Ji, Qihang Dai, Xinyu Ji, Weiming Wu, Qinghua Sun, Hecheng Ma, Menglin Cong, Lei Cheng, Cong Wang, Meng Si, Wei Zeng:
Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning. Artif. Intell. Rev. 56(9): 9157-9173 (2023) - [j90]Fukai Zhang, Weiming Wu, Cong Wang:
Pattern-based learning and control of nonlinear pure-feedback systems with prescribed performance. Sci. China Inf. Sci. 66(1) (2023) - [j89]Zejian Zhu, Weiming Wu, Tianrui Chen, Jingtao Hu, Cong Wang:
Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems. Neurocomputing 562: 126847 (2023) - [j88]Fukai Zhang, Weiming Wu, Rui Song, Cong Wang:
Dynamic learning-based fault tolerant control for robotic manipulators with actuator faults. J. Frankl. Inst. 360(2): 862-886 (2023) - [j87]Yu Zeng, Tianrui Chen, Cong Wang:
Fault diagnosis for a class of nonlinear uncertain systems using deterministic learning approach. J. Frankl. Inst. 360(8): 5609-5633 (2023) - [j86]Jingtao Hu, Weiming Wu, Fukai Zhang, Tianrui Chen, Cong Wang:
Observer-based dynamical pattern recognition via deterministic learning. Neural Networks 159: 161-174 (2023) - [j85]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) - [j84]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) - [j83]Zhijia Zhao, Weitian He, Fukai Zhang, Cong Wang, Keum-Shik Hong:
Deterministic Learning From Adaptive Neural Network Control for a 2-DOF Helicopter System With Unknown Backlash and Model Uncertainty. IEEE Trans. Ind. Electron. 70(9): 9379-9389 (2023) - [j82]Hao Zhang, Ran Song, Liping Wang, Lin Zhang, Dawei Wang, Cong Wang, Wei Zhang:
Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks. IEEE Trans. Medical Imaging 42(2): 444-455 (2023) - [j81]Tianrui Chen, Yu Zeng, Zejian Zhu, Cong Wang:
Actuator Fault Diagnosis for a Class of Nonlinear Uncertain Systems via Deterministic Learning. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1335-1346 (2023) - [j80]Jingtao Hu, Weiming Wu, Fukai Zhang, Cong Wang:
Observer-Based Learning and Non-High-Gain Recognition of Univariate Time Series. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6633-6644 (2023) - 2022
- [j79]Liyu Liu, Meng Si, Hecheng Ma, Menglin Cong, Quanzheng Xu, Qinghua Sun, Weiming Wu, Cong Wang, Michael J. Fagan, Luis A. J. Mur, Qing Yang, Bing Ji:
A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images. BMC Bioinform. 23(1): 63 (2022) - [j78]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) - [j77]Qinghua Sun, Chunmiao Liang, Tianrui Chen, Bing Ji, Rugang Liu, Lei Wang, Min Tang, Yuguo Chen, Cong Wang:
Early detection of myocardial ischemia in 12-lead ECG using deterministic learning and ensemble learning. Comput. Methods Programs Biomed. 226: 107124 (2022) - [j76]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) - [j75]Haotian Shi, Min Wang, Cong Wang:
Pattern-based autonomous smooth switching control for constrained flexible joint manipulator. Neurocomputing 492: 162-173 (2022) - [j74]Fukai Zhang, Weiming Wu, Jingtao Hu, Cong Wang:
Deterministic learning from neural control for a class of sampled-data nonlinear systems. Inf. Sci. 595: 159-178 (2022) - [j73]Tianrui Chen, Chujian Zeng, Cong Wang:
Fault Identification for a Class of Nonlinear Systems of Canonical Form via Deterministic Learning. IEEE Trans. Cybern. 52(10): 10957-10968 (2022) - [j72]Jingtao Hu, Weiming Wu, Bing Ji, Cong Wang:
Observer Design for Sampled-Data Systems via Deterministic Learning. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2931-2939 (2022) - [j71]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) - [j70]Tianrui Chen, Zejian Zhu, Cong Wang, ZhaoYang Dong:
Rapid Sensor Fault Diagnosis for a Class of Nonlinear Systems via Deterministic Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7743-7754 (2022) - 2021
- [j69]Weiming Wu, Qian Wang, Chengzhi Yuan, Cong Wang:
Rapid dynamical pattern recognition for sampling sequences. Sci. China Inf. Sci. 64(3) (2021) - [j68]Jingting Zhang, Chengzhi Yuan, Wei Zeng, Paolo Stegagno, Cong Wang:
Fault Detection of a Class of Nonlinear Uncertain Parabolic PDE Systems. IEEE Control. Syst. Lett. 5(4): 1459-1464 (2021) - [j67]Xunde Dong, Cong Wang:
Identification of the Gray-Scott Model via Deterministic Learning. Int. J. Bifurc. Chaos 31(4): 2150051:1-2150051:10 (2021) - [j66]Weiming Wu, Fukai Zhang, Cong Wang, Chengzhi Yuan:
Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability. Neurocomputing 458: 376-389 (2021) - [j65]Jingting Zhang, Chengzhi Yuan, Cong Wang, Wei Zeng, Shi-Lu Dai:
Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments. Neurocomputing 462: 31-45 (2021) - [j64]Jingting Zhang, Chengzhi Yuan, Paolo Stegagno, Haibo He, Cong Wang:
Small Fault Detection of Discrete-Time Nonlinear Uncertain Systems. IEEE Trans. Cybern. 51(2): 750-764 (2021) - [j63]Tianrui Chen, Cong Wang, David J. Hill:
Fault Detection for a Class of Uncertain Sampled-Data Systems Using Deterministic Learning. IEEE Trans. Cybern. 51(12): 5930-5940 (2021) - 2020
- [j62]Jingting Zhang, Qingbin Gao, Chengzhi Yuan, Wei Zeng, Shi-Lu Dai, Cong Wang:
Similar Fault Isolation of Discrete-Time Nonlinear Uncertain Systems: An Adaptive Threshold Based Approach. IEEE Access 8: 80755-80770 (2020) - [j61]Qinghua Sun, Qian Wang, Bing Ji, Weiming Wu, Weiyi Huang, Cong Wang:
The Cardiodynamicsgram Based Early Detection of Myocardial Ischemia Using the Lempel-Ziv Complexity. IEEE Access 8: 207894-207904 (2020) - [j60]Chen Song, Xunde Dong, Cong Wang:
Spiral Tip Recognition via Deterministic Learning. Int. J. Bifurc. Chaos 30(6): 2050093:1-2050093:10 (2020) - [j59]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) - [j58]Jingting Zhang, Chengzhi Yuan, Cong Wang, Paolo Stegagno, Wei Zeng:
Composite adaptive NN learning and control for discrete-time nonlinear uncertain systems in normal form. Neurocomputing 390: 168-184 (2020) - [j57]Qian Wang, Cong Wang, Qinghua Sun:
A model-based time-to-failure prediction scheme for nonlinear systems via deterministic learning. J. Frankl. Inst. 357(6): 3771-3791 (2020) - [j56]Tianrui Chen, David John Hill, Cong Wang:
Distributed Fast Fault Diagnosis for Multimachine Power Systems via Deterministic Learning. IEEE Trans. Ind. Electron. 67(5): 4152-4162 (2020) - 2019
- [j55]Xunde Dong, Wenjie Si, Cong Wang:
Global Identification of FitzHugh-Nagumo Equation via Deterministic Learning and Interpolation. IEEE Access 7: 107334-107345 (2019) - [j54]Xunde Dong, Chen Song, Cong Wang:
Spiral Tip Identification via Deterministic Learning. Int. J. Bifurc. Chaos 29(3): 1950040:1-1950040:15 (2019) - [j53]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) - [j52]Weiming Wu, Cong Wang, Chengzhi Yuan:
Deterministic learning from sampling data. Neurocomputing 358: 456-466 (2019) - [j51]Jingting Zhang, Chengzhi Yuan, Paolo Stegagno, Wei Zeng, Cong Wang:
Small fault detection from discrete-time closed-loop control using fault dynamics residuals. Neurocomputing 365: 239-248 (2019) - [j50]Fukai Zhang, Cong Wang, Feifei Yang:
Pattern-based NN control for uncertain pure-feedback nonlinear systems. J. Frankl. Inst. 356(5): 2530-2558 (2019) - [j49]Xiaonan Dong, Chengzhi Yuan, Paolo Stegagno, Wei Zeng, Cong Wang:
Composite cooperative synchronization and decentralized learning of multi-robot manipulators with heterogeneous nonlinear uncertain dynamics. J. Frankl. Inst. 356(10): 5049-5072 (2019) - [j48]Muqing Deng, Cong Wang:
Human Gait Recognition Based on Deterministic Learning and Data Stream of Microsoft Kinect. IEEE Trans. Circuits Syst. Video Technol. 29(12): 3636-3645 (2019) - [j47]Tianrui Chen, Cong Wang, Guo Chen, Zhaoyang Dong, David J. Hill:
Small Fault Detection for a Class of Closed-Loop Systems via Deterministic Learning. IEEE Trans. Cybern. 49(3): 897-906 (2019) - [j46]Chengzhi Yuan, Haibo He, Cong Wang:
Cooperative Deterministic Learning-Based Formation Control for a Group of Nonlinear Uncertain Mechanical Systems. IEEE Trans. Ind. Informatics 15(1): 319-333 (2019) - 2018
- [j45]Marwan F. Abdelatti, Chengzhi Yuan, Wei Zeng, Cong Wang:
Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators. Sci. China Inf. Sci. 61(11): 112201:1-112201:19 (2018) - [j44]Qian Wang, Cong Wang:
Incipient fault detection of nonlinear dynamical systems via deterministic learning. Neurocomputing 313: 125-134 (2018) - [j43]Wei Zeng, Cong Wang, Qinghui Wang:
Hand gesture recognition using Leap Motion via deterministic learning. Multim. Tools Appl. 77(21): 28185-28206 (2018) - [j42]Muqing Deng, Cong Wang, Min Tang, Tongjia Zheng:
Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification. Neural Networks 100: 70-83 (2018) - [j41]Muqing Deng, Cong Wang, Tongjia Zheng:
Individual identification using a gait dynamics graph. Pattern Recognit. 83: 287-298 (2018) - [j40]Peng Lin, Cong Wang, Tianrui Chen:
A Stall Warning Scheme for Aircraft Engines With Inlet Distortion via Deterministic Learning. IEEE Trans. Control. Syst. Technol. 26(4): 1468-1474 (2018) - [j39]Shi-Lu Dai, Shude He, Hai Lin, Cong Wang:
Platoon Formation Control With Prescribed Performance Guarantees for USVs. IEEE Trans. Ind. Electron. 65(5): 4237-4246 (2018) - [j38]Feifei Yang, Cong Wang:
Pattern-Based NN Control of a Class of Uncertain Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1108-1119 (2018) - 2017
- [j37]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) - [j36]Xunde Dong, Cong Wang, Wenjie Si:
ECG beat classification via deterministic learning. Neurocomputing 240: 1-12 (2017) - [j35]Muqing Deng, Cong Wang, Fengjiang Cheng, Wei Zeng:
Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning. Pattern Recognit. 67: 186-200 (2017) - [j34]Tongjia Zheng, Cong Wang:
Relationship Between Persistent Excitation Levels and RBF Network Structures, With Application to Performance Analysis of Deterministic Learning. IEEE Trans. Cybern. 47(10): 3380-3392 (2017) - 2016
- [j33]Cong Wang, Xunde Dong, Shanxing Ou, Wei Wang, Junmin Hu, Feifei Yang:
A new method for early detection of myocardial ischemia: cardiodynamicsgram (CDG). Sci. China Inf. Sci. 59(1): 1-11 (2016) - [j32]Danfeng Chen, Cong Wang, Xunde Dong:
Modeling of nonlinear dynamical systems based on deterministic learning and structural stability. Sci. China Inf. Sci. 59(9): 92202 (2016) - [j31]Wei Zeng, Cong Wang:
View-invariant gait recognition via deterministic learning. Neurocomputing 175: 324-335 (2016) - [j30]Muqing Deng, Cong Wang, Qingfeng Chen:
Human gait recognition based on deterministic learning through multiple views fusion. Pattern Recognit. Lett. 78: 56-63 (2016) - [j29]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) - [j28]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
- [j27]Xunde Dong, Cong Wang:
Identification of the FitzHugh-Nagumo Model Dynamics via Deterministic Learning. Int. J. Bifurc. Chaos 25(12): 1550159:1-1550159:11 (2015) - [j26]Wei Zeng, Cong Wang:
Gait recognition across different walking speeds via deterministic learning. Neurocomputing 152: 139-150 (2015) - [j25]Wei Zeng, Cong Wang:
Classification of neurodegenerative diseases using gait dynamics via deterministic learning. Inf. Sci. 317: 246-258 (2015) - [j24]Tianrui Chen, Cong Wang, David J. Hill:
Small oscillation fault detection for a class of nonlinear systems with output measurements using deterministic learning. Syst. Control. Lett. 79: 39-46 (2015) - [j23]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
- [j22]Chengzhi Yuan, Cong Wang:
Design and performance analysis of deterministic learning of sampled-data nonlinear systems. Sci. China Inf. Sci. 57(3): 1-18 (2014) - [j21]Wei Zeng, Cong Wang, Yuanqing Li:
Model-Based Human Gait Recognition Via Deterministic Learning. Cogn. Comput. 6(2): 218-229 (2014) - [j20]Wei Zeng, Cong Wang:
Learning from NN output feedback control of robot manipulators. Neurocomputing 125: 172-182 (2014) - [j19]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) - [j18]Binhe Wen, Cong Wang, Tengfei Liu:
Deterministic learning and neural control of a class of nonlinear systems toward improved performance. Neural Comput. Appl. 24(3-4): 637-648 (2014) - [j17]Yuxiang Wu, Cong Wang:
Adaptive neural control and learning of affine nonlinear systems. Neural Comput. Appl. 25(2): 309-319 (2014) - [j16]Wei Zeng, Cong Wang, Feifei Yang:
Silhouette-based gait recognition via deterministic learning. Pattern Recognit. 47(11): 3568-3584 (2014) - [j15]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) - [j14]Tianrui Chen, Cong Wang, David J. Hill:
Rapid Oscillation Fault Detection and Isolation for Distributed Systems via Deterministic Learning. IEEE Trans. Neural Networks Learn. Syst. 25(6): 1187-1199 (2014) - 2012
- [j13]Chengzhi Yuan, Cong Wang:
Performance of deterministic learning in noisy environments. Neurocomputing 78(1): 72-82 (2012) - [j12]Wei Zeng, Cong Wang:
Human gait recognition via deterministic learning. Neural Networks 35: 92-102 (2012) - [j11]Shi-Lu Dai, Cong Wang, Fei Luo:
Identification and Learning Control of Ocean Surface Ship Using Neural Networks. IEEE Trans. Ind. Informatics 8(4): 801-810 (2012) - [j10]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) - 2011
- [j9]Chengzhi Yuan, Cong Wang:
Persistency of excitation and performance of deterministic learning. Syst. Control. Lett. 60(12): 952-959 (2011) - [j8]Tengfei Liu, David J. Hill, Cong Wang:
Dissipativity-Based Switching Adaptive Control. IEEE Trans. Autom. Control. 56(3): 660-665 (2011) - [j7]Cong Wang, Tianrui Chen:
Rapid Detection of Small Oscillation Faults via Deterministic Learning. IEEE Trans. Neural Networks 22(8): 1284-1296 (2011) - 2009
- [j6]Cong Wang, Tianrui Chen, Guanrong Chen, David J. Hill:
Deterministic Learning of Nonlinear Dynamical Systems. Int. J. Bifurc. Chaos 19(4): 1307-1328 (2009) - [j5]Tengfei Liu, Cong Wang, David J. Hill:
Learning from neural control of nonlinear systems in normal form. Syst. Control. Lett. 58(9): 633-638 (2009) - 2007
- [j4]Cong Wang, David J. Hill:
Deterministic Learning and Rapid Dynamical Pattern Recognition. IEEE Trans. Neural Networks 18(3): 617-630 (2007) - 2006
- [j3]Cong Wang, David J. Hill, Shuzhi Sam Ge, Guanrong Chen:
An ISS-modular approach for adaptive neural control of pure-feedback systems. Autom. 42(5): 723-731 (2006) - [j2]Tengfei Liu, Cong Wang:
Adaptive neural control of a permanent magnet synchronous motor. Int. J. Model. Identif. Control. 1(3): 191-199 (2006) - [j1]Cong Wang, David J. Hill:
Learning from neural control. IEEE Trans. Neural Networks 17(1): 130-146 (2006)
Conference and Workshop Papers
- 2021
- [c23]Jingting Zhang, Chengzhi Yuan, Wei Zeng, Paolo Stegagno, Cong Wang:
Fault Detection of A Class of Nonlinear Uncertain Parabolic PDE Systems. ACC 2021: 4081-4086 - [c22]Zejian Zhu, Tianrui Chen, Cong Wang:
Sensor Fault Identification for a Class of Nonlinear Discrete-time System. CAA SAFEPROCESS 2021: 1-5 - 2019
- [c21]Muqing Deng, Weiming Wu, Jiuwen Cao, Min Tang, Cong Wang:
Deterministic Learning-Based Methodology for Detecting Abnormal Dynamics of Cardiac Repolarization During Ischemia. EMBC 2019: 1492-1495 - 2018
- [c20]Chengzhi Yuan, Nan Xue, Wei Zeng, Cong Wang:
Composite Consensus Control and Cooperative Adaptive Learning. CDC 2018: 1409-1414 - 2014
- [c19]Wei Zeng, Cong Wang:
View-invariant gait recognition via deterministic learning. IJCNN 2014: 3465-3472 - 2013
- [c18]Wei Zeng, Cong Wang:
Silhouette-Based Gait Recognition via Deterministic Learning. BICS 2013: 1-10 - [c17]Shi-Lu Dai, Min Wang, Cong Wang, Liejun Li:
Learning from Adaptive Neural Output Feedback Control of Robot Manipulators. ICONS 2013: 737-742 - [c16]Feifei Yang, Cong Wang:
Stability Analysis on Pattern-Based NN Control Systems. ISNN (2) 2013: 27-34 - [c15]Junmin Hu, Cong Wang, Xunde Dong:
Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning. ISNN (1) 2013: 574-581 - 2012
- [c14]Min Wang, Cong Wang:
Learning from adaptive neural control for a class of pure-feedback systems. ICARCV 2012: 76-81 - [c13]Tianrui Chen, Cong Wang:
Rapid isolation of small oscillation faults via deterministic learning. IJCNN 2012: 1-8 - 2010
- [c12]Cong Wang, Tianrui Chen:
Rapid detection of oscillation faults via deterministic learning. ICCA 2010: 1629-1634 - 2009
- [c11]Tengfei Liu, David J. Hill, Cong Wang:
Dissipativity-based switching adaptive control. CDC 2009: 6638-6643 - [c10]Tianrui Chen, Cong Wang:
Learning from neural control for a class of discrete-time nonlinear systems. CDC 2009: 6732-6737 - 2008
- [c9]Tengfei Liu, Cong Wang, David J. Hill:
Deterministic Learning and Rapid Dynamical Pattern Recognition of Discrete-Time Systems. ISIC 2008: 1091-1096 - [c8]Hao Cheng, Cong Wang:
Dynamical Pattern Classification of Lorenz System and Chen System. ISNN (2) 2008: 321-330 - 2007
- [c7]Cong Wang, Tengfei Liu, Chenghong Wang:
Deterministic Learning and Pattern-Based NN Control. ISIC 2007: 144-149 - [c6]Tianrui Chen, Cong Wang:
Deterministic learning and fault diagnosis for nonlinear robotic manipulators. ROBIO 2007: 1983-1988 - [c5]Zhengui Xue, Cong Wang, Tengfei Liu:
Deterministic learning and robot manipulator control. ROBIO 2007: 1989-1994 - [c4]Tengfei Liu, Cong Wang:
Learning from neural control in motor systems. ROBIO 2007: 1995-2000 - 2005
- [c3]Cong Wang, David J. Hill, Shuzhi Sam Ge:
Adaptive Neural Control of Non-Affine Pure-Feedback Systems. ISIC 2005: 298-303 - 2003
- [c2]Cong Wang, David J. Hill:
Learning from neural control. CDC 2003: 5721-5726 - 2001
- [c1]Shuzhi Sam Ge, Cong Wang:
Adaptive neural control of a class of MIMO nonlinear systems. CDC 2001: 3530-3535
Coauthor Index
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