Chengzhi Yuan’s Research Profile

Yuan, Chengzhi, 2021

Recent Grants1

Grant
8/24/2022. Co-PI. National Science Foundation. “Advancing underwater robots in Complex environments.”
8/24/2022. Co-PI. National Science Foundation. “Advancing underwater robots in Complex environments.”
8/24/2022. Co-PI. National Science Foundation. “Advancing underwater robots in Complex environments.”
4/3/2020. Co-PI. National Science Foundation. “Collaborative Research: Towards Computationally Efficient One-Shot Design for Performance Guaranteed Distributed Multi-Agent Control.”

Recent Publications1

Citation
Zeng W, Yuan C. Epileptic EEG Identification Based on Dual Q-Factor Signal Decomposition (DQSD), Fast and Adaptive Multivariate Empirical Mode Decomposition (FA-MVEMD) and Neural Networks. Circuits Systems and Signal Processing, 2023. doi: 10.1007/s00034-022-02282-2
Chen Y, Su B, Zeng W, Yuan C, Ji 姬冰 b. Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers. Multimedia Tools and Applications, 2023. doi: 10.1007/s11042-022-14315-8
Tauchnitz S, Yuan C, Stegagno P. Application of Distributed Linear Multi-Agent Containment Control to Robotic Systems. IFAC-PapersOnLine, 2022; 55(37); 548-553. doi: 10.1016/j.ifacol.2022.11.240
Perera TRA, Philips A, Yuan C, Stegagno P. A Trifacacking System for Dynamic Subset Targets using Probability. IFAC-PapersOnLine, 2022; 55(37); 333-338. doi: 10.1017/j.ifacol.2022.11.206
Zhang J, Yuan C, Stegagno S, Zeng W. Fault Isolation of a Class of Uncertain Nonlinear Parabolic PDE Systems. IFAC-PapersOnLine, 2022; 55(37), 13-18. doi: 10.1016/j.ifacol.2022.11.154
Zeng W, Su B, Chen Y, Yuan C. Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals. Multimedia Tools and Applications, 2022. doi: 10.1007/s11042-022-14227-7
Zeng W, Yuan J, Yuan C, Wang Q, Liu F, Wang Y. A novel technique for the detection of myocardial dysfunction using ECG signals based on CEMD, DWT, PSR and neural networks. Artificial Intelligence Review, 2022. doi: 10.1007/s10462-022-10262-w
Zeng W, Yuan C. Myocardial infarction detection using ITD, DWT and deterministic learning based on ECG signals. Cognitive neurodynamics, 2022. doi: 10.1007/s11571-022-09879-7
Gao, Yuan, Gu. Invariant Filtering for Legged Humanoid Locomotion on a dynamic Rigid Surface. IEEE/ASME Transactions on Mechatronics, 2022; 27(4), 1-10. doi: 10.1109/TMECH.2022.3176015
Zhang J, Chen X, Stegagno P, Yuan C. Nonlinear Dynamics Modeling and Fault Detection for A Soft Trunk Robot: An Adaptive NN-based approach. IEEE Robotics and Automation Letters, 2022. doi: 10.1109/LRA.2022.3184034
Zeng W, Su B, Yuan C, Chen Y. Automatic detection of heart valve disorders using Teager-Kaiser energy operator, retinol-dilation wavelet transform and convolutional neural networks with PCG signals. Artificial Intelligence Review, 2022; 1-26. doi: 10.1007/s10462-022-10184-7
Huang K, Yuan C. Convex synthesis for optimal ℋ∞ consensus of input-delayed multi-agent systems via dynamic relative output feedback. International Journal of Control, 2022; 95(2), 359-371. doi: 10.1080/00207179.2020.1795268
Zeng W, Zixiang L, Yuan C, Wang Q, Liu F, Wang Y. Detection of heart valve disorders from PCG Signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning. Artificial Intelligence Review, 2021; 54(7), 1-38. doi: 10.1007/s10462-021-099969-z
Zhang J, Yuan C, Wang C, Zeng W, Dai S-L. Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments Neurocomputing, 2021; 462, 31-35. doi: 10.106/j.neucom.2021.07.046
Wu W, Zhang F, Wang C, Yuan C. Dynamical pattern recognition for sampling sequences based of deterministic learning and structural stability. Neurocomputing, 2021; 458, 376-389. doi: 10.106/j.neucom.2021.06.001
Zeng W, Yuan C. ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning. International Journal of Machine Learning and Cybernetics, 2021; 12(10), 1-26. doi: 10.1007/s13042-021-01389-3
Zhang J, Yuan C, Wang C, Zeng W, Dai SL. Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments. Neurocomputing, 2021; 462(1), 31-45. doi: 10.1016/j.neucom.2021.07.046
Weiming Wu, Zhang F, Wang C, Yuan C. Dynamical Pattern Recognition for Sampling Sequences based on Deterministic Learning and Structural Stability. Neurocomputing, 2021; 458, 376-389. doi: 10.1016/j.neucom.2021.06.001
Wu W., Wang Q., Yuan C., Wang C. Rapid dynamical pattern recognition for sampling sequences. Science China Information Sciences, 2021; 64(3), 1-18. doi: 10.1007/s11432-019-2878-y
Zeng W., Lin Z., Yuan C., Wang Q., Liu F., Wang Y.  Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning. Artificial Intelligence Review, 2021; doi: 10.1007/s10462-021-09969-z
Dai SL., He S., Ma Y., Yuan C. Cooperative Learning-Based Formation Control of Autonomous Marine Surface Vessels With Prescribed Performance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021; 1-13. doi: 10.1109/TSMC.2021.305133
Yuan C., Stegagno P., He HB., Ren W. Cooperative Adaptive Containment Control with Parameter Convergence via Cooperative Finite-Time Excitation. IEEE Transactions on Automatic Control, 2021; 1-1. doi: 10.1109/TAC.2021.3056336
Gu Y., Yuan C. Adaptive Robust Tracking Control for Hybrid Models of 3-D Bipedal Robotic Walking under Uncertainties. Journal of Dynamic Systems Measurement and Control, 2021; doi: 10.1115/1.4050259
Zeng W., Yuan J., Yuan C., Wang Q., Liu F., Wang Y. A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks. Soft Computing, 2021; 1-25. doi: 10.1007/s00500-020-05465-8
Zhang J., Yuan C., Zeng W., Stegagno P., Wang C. Fault Detection of a Class of Nonlinear Uncertain Parabolic PDE Systems. IEEE Control Systems Letters, 2021; 5(4), 1459-1464. doi: 10.1109/LCSYS.2020.3040132
Wu W., Wang Q., Yuan C., Wang C. Rapid dynamical pattern recognition for sampling sequences. Science China Information Sciences, 2021; 64, 132201. doi: 10.1007/s11432-019-2878-y
Dai SL, He S, Ma Y, Yuan C. Distributed Cooperative Learning Control of Uncertain Multiagent Systems With Prescribed Performance and Preserved Connectivity. IEEE Transactions on Neural Networks and Learning Systems, 2020. doi: 10.1109/TNNLS.2020.3010690
Zeng W, Yuan J, Yuan C, Wang Q, Liu F, Wang Y. A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks. Artificial Intelligence Review, 2020; 1-35. doi: 10.1007/s10462-020-09875-w
Huang K, Yuan C. Convex Synthesis for Optimal  Consensus of Input-Delayed Multi-Agent Systems via Dynamic Relative Output Feedback. International Journal of Control, 2020; 1-21. doi: 10.1080/00207179.2020.1795268
Huang K, Yuan C. Dynamic Relative Output-Feedback Consensus for Multi-Agent Systems Subject to Actuator Saturation. IEEE Access, 2020; 8, 111239-111252. doi: 10.1109/ACCESS.2020.3003213
Zeng W, Yuan J, Yuan C, Wang Q, Liu F, Wang Y. Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks. Artificial Intelligence in Medicine, 2020; 106, 101848. doi: 10.1016/j.artmed.2020.101848
Zhang J, Gao Q, Yuan C, Zeng W, Dai SL, Wang C. Similar Fault Isolation of Discrete-Time Nonlinear Uncertain Systems: An Adaptive Threshold Based Approach. IEEE Access, 2020; 8, 80755-80770. doi: 10.1109/ACCESS.2020.2991138
K Li, C Yuan, J Wang, X Dong. Four-Direction Search Scheme of Path Planning for Mobile Agents. Robotica, 2020; 38 (3), 531-540. doi: 10.1017/S0263574719000821
Yuan C, Song S, Gao Q, Karimi HR, Pekar L, Guo S. A Novel Frequency-Domain Approach for the Exact Range of Imaginary Spectra and the Stability Analysis of LTI Systems With Two Delays. IEEE Access, 2020; 8, 36595-36601. doi: 10.1109/ACCESS.2020.2973834
Zhang J, Yuan C, Wang C, Stegagno P, Zeng W. Composite Adaptive NN Learning and Control for Discrete-Time Nonlinear Uncertain Systems in Normal Form. Neurocomputing, 2020; 390, 168-184 doi: 10.1016/j.neucom.2020.01.052
Zeng W, Li M, Yuan C, Wang Q, Liu F, Wang Y. Identification of Epileptic Seizures in EEG Signals Using Time-Scale Decomposition (ITD), Discrete Wavelet Transform (DWT), Phase Space Reconstruction (PSR) and Neural Networks. Artificial Intelligence Review, 2020; 53(4), 3059-3088. doi: 10.1007/s10462-019-09755-y
Zhang J, Yuan C, Stegagno P, He H, Wang C. Small Fault Detection of Discrete-Time Nonlinear Uncertain Systems. IEEE Transactions on Cybernetics, 2019. doi: 10.1109/TCYB.2019.
Wu W, Wang C, Yuan C. Deterministic Learning from Sampled Data. Neurocomputing, 2019; 358, 456-466. doi: 10.1016/j.neucom.2019.05.044
Zhang J, Yuan C, Stegagno P, Zeng W. Small Fault Detection From Discrete-Time Closed Loop Control Using Fault Dynamics Residuals. Neurocomputing, 2019; 365, 239-248. doi: 10.1016/j.neucom.2019.07.037
Stegagno P, Yuan C. Distributed Cooperative Adaptive State Estimation and System Identification for Multi-Agent Systems. IET Control Theory and Applications, 2019; 815-822. doi: 10.1049/iet-cta.2018.6113
Xue X, Yuan C, Wu F. Convexified H∞ Output-Feedback Consensus Synthesis for Linear Multi-Agent Systems. IET Control Theory and Applications, 2019; 13(11), 1619-1628. doi: 10.1049/iet-cta.2018.5337
Li K, Yuan C, Wang J, Dong X. Four-Direction Search Scheme of Path Planning for Mobile Agents. Robotica, 2019; 38(3), 531-540. doi: 10.1017/S0263574719000821
Dong X, Yuan C, Stegagno P, Zeng W, Wang C. Composite Cooperative Synchronization and Decentralized Learning of Multi-Robot Manipulators with Heterogeneous Nonlinear Uncertain Dynamics. Journal of the Franklin Institute, 2019; 356(10), 5049-5072. doi: 10.1016/j.jfranklin.2019.04.028
Liu F, Zeng W, Yuan C, Wang Q, Wang Y. Kinect-Based Hand Gesture Recognition Using Trajectory Information, Hand Motion Dynamics and Neural Networks. Artificial Intelligence Review, 2019; 52(1), 563-583. doi: 10.1007/s10462-019-09703-w
Zeng W, Li M, Yuan C, Wang Q, Liu F, Wang Y. Classification of Focal and Non-Focal EEG Signals Using Empirical Mode Decomposition (EMD), Phase Space Reconstruction (PSR) and Neural Networks. Artificial Intelligence Review, 2019; 52(1), 625-647. doi: 10.1007/s10462-019-09698-4
Zeng W, Ma L, Yuan C, et al. Classification of Asymptomatic and Osteoarthritic Knee Gait Patterns Using Gait Analysis via Deterministic Learning. Artificial Intelligence Review, 2019; 52(1), 449-467. doi: 10.1007/s10462-018-9645-z
Yuan C, Zeng W. Output Containment Control of Heterogeneous Multi-Agent Systems with Leaders of Bounded Inputs: An Adaptive Finite-Time Observer Approach. Journal of the Franklin Institute, 2019; 356(6), 3419-3442. doi: 10.1016/j.jfranklin.2018.12.022
Xue X, Wu F, Yuan C. Robust Consensus for Linear Multi-Agent Systems with Structured Uncertainties. International Journal of Control, 2019; 1-22. doi: 10.1080/00207179.2019.1612096
Liu F, Zeng W, Yuan C, Wang Q, Wang Y. Kinect-Based Hand Gesture Recognition Using Trajectory Information, Hand Motion Dynamics and Neural Networks. Artificial Intelligence Review, 2019; 52(1), 563-583. doi: 10.1007/s10462-019-09703-w
Zeng W, Li M, Yuan C, Wang Q, Liu F, Wang Y. Classification of Focal and Non Focal EEG Signals Using Empirical Mode Decomposition (EMD), Phase Space Reconstruction (PSR) And Neural Networks. Artificial Intelligence Review, 2019; 52(1), 625–647. doi: 10.1007/s10462-019-09698-4
Yuan C, Wu F. Cooperative State Estimation of Multi-Agent Systems Subject to Bounded External Disturbances. International Journal of Systems Science, 2018; 49(9), 1985-1996. doi: 10.1080/00207721.2018.1482380
Yuan C, Ilbeigi S, Zeng W. H∞ Output Containment Control of Heterogeneous Multi-Agent Systems via Distributed Dynamic Output Feedback. Journal of the Franklin Institute, 2018; 355(12), 5058-5081. doi: 10.1016/j.jfranklin.2018.05.032
Yuan C, Wu F. Cooperative Output Regulations of Multi-Agent Systems with Switched Leader Dynamics. International Journal of Systems Science, 2018; 1463-1477. doi: 10.1080/00207721.2018.1454537
Zeng W, Yaun C, Wang Q, Liu F, Wang Y. Classification of Gait Patterns Between Patients with Parkinson’s Disease and Healthy Controls Using Phase Space Reconstruction (PSR), Empirical Mode Decomposition (EMD) And Neural Networks. Neural Networks, 2018; 111, 64-76. doi: 10.1016/j.neunet.2018.12.012

Patents

  • Wang C, Yuan C, Hu J, Inventors; South China University of Technology, Assignee. A Deterministic-Learning-Theory-based Method for Modeling from Massive Temporal Data Sequences. Patent Number ZL 2012 1 0560790.X

 

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