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Publications

More publication details can be found in my ResearchGate.

Book Chapters

  1. X. Xue, C. Yuan, F. Wu, “Robust output feedback control of linear state-delayed systems using dynamic IQCs”, Elsevier: Control Strategy for Time-Delay Systems, Ed. Prof. Mohammad Hassan Khooban, 2020.

  2. X. Dong, P. Stegagno, C. Yuan, W. Zeng, “Cooperative adaptive learning control for a group of nonholonomic UGVs by output feedback”, Book Title: MULTI-AGENT SYSTEMS - THEORY AND APPLICATIONS, ISBN 978-1-78984-489-4, Ed. Prof. Ricardo Lopez-Ruiz, April 2020, doi: 10.5772/intechopen.87038.

  3. C. Yuan, F. Wu, “H_infty consensus synthesis of multi-agent systems with nonuniform time-varying input delays: A dynamic IQC approach”, Stability, Control and Application of Time-Delay Systems, Q. Gao, and H. R. Karimi Ed., Elsevier, 2018.

  4. C. Yuan, C. Duan and F. Wu, “Robust H_inf switching control of polytopic parameter-varying systems via dynamic output feedback,” Automotive Air Conditioning, pp. 53–72, 2016, doi: 10.1007/978-3-319-33590-2_4.

Thesis and Dissertation

  1. C. Yuan, “Synthesis of Hybrid/Switched Control Systems and Its Applications,” Ph.D. Dissertation, North Carolina State University, Raleigh, NC, USA, 2016. Available at: http://www.lib.ncsu.edu/resolver/1840.16/10944.

  2. C. Yuan, “Persistency of Excitation and Performance Analysis of Deterministic Learning Algorithms,” Master Thesis, South China University of Technology, Guangzhou, P.R. China, 2012. Available at: https://www.researchgate.net/profile/Chengzhi_Yuan/publications?pubType=thesis.

Journal Articles

  1. D. Chen, J. Li, C. Yuan, J. He, W. Zhu, “Learning-based sliding mode synchronization for fractional-order Hindmarsh-Rose neuronal models with deterministic learning”, Frontiers in Neuroscience, section Neuroprosthetics, Sep. 2023, accepted.

  2. F. Wen, Q. Wang, R. Zou, Y. Wang, F. Liu, Y. Chen, L. Yu, S. Du, C. Yuan, “A salient object detection method based on boundary enhancement”, Sensors, 23 (16), 2023, pp. 7077.

  3. J. Zhang, X. Chen, P. Stegagno, M. Zhou, C. Yuan, “Learning-based tracking control of soft robots”, IEEE Robotics and Automation Letters, accepted, Jul. 2023.

  4. R. Zou, Q. Wang, F. Wen, Y. Chen, J. Liu, S. Du, C. Yuan, “An interactive image segmentation method based on multi-level semantic fusion”, Sensors, 23 (14), 2023, pp. 6394.

  5. Y. Chen, B. Su, W. Zeng, C. Yuan, B. Ji, “Abnormal heart sound detection from unsegmented phonocardiogram using deep feature and shallow classifiers”, Multimedia Tools and Applications, Aug. 2023, accepted.

  6. W. Zeng, B. Su, Y. Chen, C. Yuan, “Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals”, Multimedia Tools and Applications, 82 (19), 2023, pp. 29913-29941.

  7. W. Zeng, C. Yuan, “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, Dec. 2022, accepted.

  8. W. Zeng, B. Su, C. Yuan, Q. Wang, F. Liu, Y. Wang, “Detection of myocardial infarction using Shannon energy envelope, FA-MVEMD and deterministic learning”, Artificial Intelligence Review, Oct. 2022, accepted.

  9. W. Zeng, J. Yuan, C. Yuan, Q. Wang, F. Liu, Y. Wang, “A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks”, Artificial Intelligence Review, Aug. 2022, accepted.

  10. W. Zeng, C. Yuan, “Myocardial infarction detection using ITD, DWT and deterministic learning based on ECG signals”, Cognitive Neurodynamics, Aug. 2022, accepted.

  11. J. Zhang, X. Chen, P. Stegagno, C. Yuan, “Nonlinear dynamics modeling and fault detection for a soft trunk robot: an adaptive NN-based approach”, IEEE Robotics and Automation Letters, May 2022, accepted. (also presented in the IEEE/RSJ International Conference on Intelligent Robots and Systems, Kyoto, Japan, Oct. 2022)

  12. Y. Gao, C. Yuan, Y. Gu, “Invariant filtering for legged humanoid locomotion on a dynamic rigid surface”, IEEE Transactions on Mechatronics, Apr. 2022, accepted. (also presented in the 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics)

  13. W. Zeng, B. Su, C. Yuan, Y. Chen, “Automatic detection of heart valve disorders using Teager-Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG signals”, Artificial Intelligence Review, Mar. 2022, accepted.

  14. C. Yuan, Y. Gu, W. Zeng, “Hybrid control of switched LFT uncertain systems with time-varying input delays”, International Journal of Control, Aug. 2021, accepted.

  15. W. Zeng, C. Yuan, L. Ma, “ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning”, International Journal of Machine Learning and Cybernetics, July 2021, accepted.

  16. J. Zhang, C. Yuan, C. Wang, W. Zeng, S. Dai, “Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments”, Neurocomputing, July 2021, accepted.

  17. W. Wu, C. Wang, C. Yuan, “Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability”, Neurocomputing, June 2021, accepted.

  18. C. Yuan, P. Stegagno, H. He, W. Ren, “Cooperative adaptive containment control with parameter convergence via cooperative finite-time excitation”, IEEE Transactions on Automatic Control, Jan. 2021, accepted.

  19. W. Zeng, Z. Lin, C. Yuan, Q. Wang, F. Liu, Y. Wang, “Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning”, Artificial Intelligence Review, Jan. 2021, accepted.

  20. S. Dai, Y. Ma, S. He, C. Yuan, “Cooperative learning-based formation control of autonomous marine surface vessels with prescribed performance”, IEEE Transactions on Systems, Man and Cybernetics: Systems, Dec. 2020, accepted.

  21. J. Zhang, C. Yuan, W. Zeng, P. Stegagno, C. Wang, “Fault detection of a class of nonlinear uncertain parabolic PDE systems”, IEEE Control Systems Letter, Nov. 2020, accepted. (paper also presented in 2021 American Control Conference)

  22. S. Dai, S. He, Y. Ma, C. Yuan, “Distributed cooperative learning control of uncertain multi-agent systems with prescribed performance and preserved connectivity”, IEEE Transactions on Neural Networks and Learning Systems, July 2020, accepted.

  23. K. Huang, C. Yuan, “Convex synthesis of optimal H_infty consensus for input-delayed multi-agent systems via dynamic relative output feedback”, International Journal of Control, July 2020, accepted.

  24. W. Zeng, J. Yuan, C. Yuan, Q. Wang, F. Liu, Y. Wang, “A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks”, Artificial Intelligence Review, 54 (3), 2021, pp. 1613-1647.

  25. W. Zeng, J. Yuan, C. Yuan, Q. Wang, F. Liu, Y. Wang, “A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks”, Soft Computing, 25 (6), 2021, pp. 4571-4595.

  26. Y. Gu, C. Yuan, “Adaptive robust tracking control for hybrid models of 3-D bipedal robotic walking under uncertainties”, ASME Journal of Dynamic Systems, Measurement, and Control, 143 (8), 2021, pp. 081007.

  27. X. Xue, F. Wu, C. Yuan, “Robust consensus for linear multi-agent systems with structured uncertainties”, International Journal of Control, 94 (3), 2021, pp. 675-686.

  28. W. Wu, Q. Wang, C. Yuan, C. Wang, “Rapid Dynamical Pattern Recognition for Sampling Sequences”, SCIENCE CHINA Information Sciences, 64(3), 2021, pp. 132201.

  29. J. Zhang, C. Yuan, P. Stegagno, H. He, C.Wang, “Small fault detection of discrete-time nonlinear uncertain systems”, IEEE Transactions on Cybernetics, 51 (2), 2021, pp. 750-764.

  30. K. Huang, C. Yuan, “Dynamic relative output-feedback consensus for multi-agent systems subject to actuator saturation”, IEEE Access, 8, 2020, pp. 111239-111252.

  31. J. Zhang, Q. Gao, C. Yuan, W. Zeng, S. Dai, C. Wang, “Similar faults isolation for discrete-time nonlinear uncertain systems: an adaptive threshold based approach”, IEEE Access, 8, 2020, pp. 80755-80770.

  32. W. Zeng, J. Yuan, C. Yuan, Q. Wang, F. Liu, Y. Wang, “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, 106, 2020, pp. 101848.

  33. C. Yuan, S. Song, Q. Gao, H. R. Karimi, L. Pekar, S. Guo, “A new frequency-domain approach for the exact range of imaginary spectra and the stability analysis of LTI systems with two delays”, IEEE Access, 8, 2020, pp. 36595-36601.

  34. J. Zhang, C. Yuan, C. Wang, P. Stegagno, W. Zeng, “Composite adaptive NN learning and control of discrete-time nonlinear uncertain systems in normal form”, Neurocomputing, 390, 2020, pp. 168-184.

  35. W. Zeng, M. Li, C. Yuan, Q. Wang, F. Liu, Y. Wang, “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, 53, 2020, pp. 3059-3088.

  36. K. Li, C. Yuan, J. Wang, X. Dong, “Four-directional search scheme of path planning for mobile agents”, Robotica, 38(3), 2020, pp. 531-540.

  37. J. Zhang, C. Yuan, P. Stegagno, W. Zeng, C. Wang, “Small fault detection from discrete-time closed-loop control using fault dynamics residuals”, Neurocomputing, 365, 2019, pp. 239-248.

  38. X. Dong, C. Yuan, P. Stegagno, W. Zeng, C. Wang, “Composite cooperative synchronization and decentralized learning of multi-robot manipulators with heterogeneous nonlinear uncertain dynamics”, Journal of The Franklin Institute, 356 (10), 2019, pp. 5049-5072.

  39. W. Wu, C. Wang, C. Yuan, “Deterministic learning from sampling data”, Neurocomputing, 358, 2019, pp. 456-466.

  40. X. Xue, C. Yuan, F. Wu, “Convexified H_infty output-feedback consensus synthesis for linear multi-agent systems”, IET Control Theory & Applications, 13 (11), 2019, pp. 1619-1628.

  41. W. Zeng, M. Li, C. Yuan, Q. Wang, F. Liu, Y. Wang, “Classification of focal and non-focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks”, Artificial Intelligence Review, 52 (1), 2019, pp. 625-647.

  42. F. Liu, W. Zeng, C. Yuan, Q. Wang, Y. Wang, “Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks”, Artificial Intelligence Review, 52 (1), 2019, pp. 563-583 .

  43. P. Stegagno, C. Yuan, “Distributed cooperative adaptive state estimation and system identification for multi-agent systems”, IET Control Theory & Applications, 13 (6), 2019, pp. 815-822.

  44. W. Zeng, C. Yuan, Q. Wang, F. Liu, Y. Wang, “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, 111, 2019, pp. 64-76.

  45. C. Yuan, W. Zeng, “Output containment control of heterogeneous multi-agent systems with leaders of bounded inputs: an adaptive finite-time observer approach”, Journal of The Franklin Institute, 356(6), 2019, pp. 3419-3442.

  46. W. Zeng, L. Ma, C. Yuan, F. Liu, Q. Wang, Y. Wang, Y. Zhang, “Classification of asymptomatic and osteoarthritis knee gait patterns using gait analysis via deterministic learning”, Artificial Intelligence Review, 52(1), 2019, pp. 449-467.

  47. C. Yuan, W. Zeng, S. Dai, “Distributed model reference adaptive containment control of heterogeneous uncertain multi-agent systems”, ISA Transactions, 86, 2019, pp. 73-86.

  48. W. Wu, W. Zeng, M. Li, C. Yuan, Y. Zhang, “Modeling and classification of gait patterns between anterior cruciate ligament deficient and intact knees based on phase space reconstruction, Euclidean distance and neural networks”, BioMedical Engineering Online, 17(1), 2018, pp. 165.

  49. S. Dai, S. He, M. Wang, C. Yuan, “Adaptive neural control of underactuated surface vessels with prescribed performance guarantees”, IEEE Transactions on Neural Networks and Learning Systems, 30(12), 2018, pp. 3686-3698.

  50. C. Yuan, F. Wu, “Cooperative state estimation of multi-agent systems subject to bounded external disturbances”, International Journal of Systems Science, 49(9), 2018, pp. 1985-1996.

  51. C. Yuan, S. Ilbeigi, W. Zeng, “H_infty output containment control of heterogeneous multi-agent systems via distributed dynamic output feedback”, Journal of The Franklin Institute, 355(12), 2018, pp. 5058-5081.

  52. C. Yuan, F. Wu, “Cooperative almost output regulation of multi-agent systems with switched leader dynamics”, International Journal of Systems Science, 49(7), 2018, pp. 1463-1477.

  53. M. Abdelatti, C. Yuan, W. Zeng, C. Wang, “Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators”, Science China Information Sciences, 61(11), 2018, pp. 112201.

  54. C. Yuan, H. He, C. Wang, “Cooperative deterministic learning-based formation control for a group of nonlinear uncertain mechanical systems”, IEEE Transactions on Industrial Informatics, 15(1), 2018, pp. 319-333.

  55. C. Yuan, “Leader-following consensus control of general linear multi-agent systems with diverse time-varying input delays”, ASME Journal of Dynamic Systems, Measurement and Control, 140(6), 2018, pp. 061010.

  56. C. Yuan, S. Licht, H. He, “Formation learning control of multiple autonomous underwater vehicles with heterogeneous nonlinear uncertain dynamics”, IEEE Transactions on Cybernetics, 48(10), 2018, pp. 2920-2934.

  57. C. Yuan, C. Duan and F. Wu, “Almost output regulation of LFT systems via gain-scheduling control,” International Journal of Control, 91(5), 2018, pp. 1161-1170.

  58. C. Yuan, H. He, “Cooperative output regulation of heterogeneous multi-agent systems with a leader of bounded inputs”, IET Control Theory & Applications, 12(2), 2017, pp. 233-242.

  59. C. Yuan, “Cooperative H_infty output regulation of heterogeneous parameter-dependent multi-agent systems”, Journal of The Franklin Institute, 354(17), 2017, pp. 7846-7870.

  60. C. Yuan, F.Wu, “Consensus for multi-agent systems with time-varying input delays”, International Journal of Systems Science, 48(14), 2017, pp. 2956-2966.

  61. C. Yuan, “Distributed adaptive switching consensus control of heterogeneous multi-agent systems with switched leader dynamics,” Nonlinear Analysis: Hybrid Systems, 26, 2017, pp. 274-283.

  62. C. Yuan, “Robust H_infty output regulation of uncertain LFT systems with application to nonlinear Chua's circuit,” IET Control Theory & Applications, 11(12), 2017, pp. 2012-2019.

  63. C. Yuan, “Leader-following consensus of parameter-dependent networks via distributed gain-scheduling control,” International Journal of Systems Science, 48(10), 2017, pp. 2013-2022.

  64. C. Yuan and F. Wu, “Exact-memory and memoryless control of linear systems with time-varying input delay using dynamic IQCs,” Automatica, 77, 2017, pp. 246-253.

  65. C. Yuan and F. Wu, “Delay scheduled impulsive control for networked control systems,” IEEE Transactions on Control of Network Systems, 4(3), 2017, pp. 587-597.

  66. C. Yuan and F. Wu, “Almost output regulation of switched linear dynamics with switched exosignals,” International Journal of Robust and Nonlinear Control, 27(16), 2017, pp. 3197-3217.

  67. C. Yuan and F. Wu, “Robust switching output-feedback control of time-varying polytopic uncertain systems,” International Journal of Control, 89(11), 2016, pp. 2262-2276.

  68. C. Yuan, Y. Liu, F. Wu and C. Duan, “Hybrid switched gain-scheduling control for missile autopilot design,” AIAA Journal of Guidance, Control and Dynamics, 39(10), 2016, pp. 2352-2363.

  69. C. Yuan and F. Wu, “Dynamic IQC-based control of uncertain LFT systems with time-varying state delay,” IEEE Transactions on Cybernetics, 46(12), 2016, pp. 3320-3329.

  70. C. Yuan and F. Wu, “Hybrid almost output regulation of linear impulsive systems with average dwell time,” Nonlinear Analysis: Hybrid Systems, 20, 2016, pp. 82-94.

  71. C. Yuan and F. Wu, “Robust H2 and Hinf switched feedforward control of uncertain LFT systems,” International Journal of Robust and Nonlinear Control, 26(9), 2016, pp. 1841-1856.

  72. C. Yuan and F. Wu, “Asynchronous switching output feedback control of discrete-time switched linear systems,” International Journal of Control, 88(9), 2015, pp. 1–9.

  73. C. Yuan and F. Wu, “Switching control of linear systems subject to asymmetric actuator saturation,” International Journal of Control, 88(1), 2014, pp. 204–215.

  74. C. Yuan and F. Wu, “Hybrid control for switched linear systems with average dwell time,” IEEE Transactions on Automatic Control, 60(1), 2014, pp. 240–245.

  75. C. Yuan and F. Wu, “Analysis and synthesis of linear hybrid systems with state-triggered jumps,” Nonlinear Analysis: Hybrid Systems, 14, 2014, pp. 47–60.

  76. C. Wang, B. Wen, W. Si, T. Peng, C. Yuan, T. Chen, W. Lin, Y. Wang and A. Hou, “Modeling and detection of rotating stall in axial flow compressor: Part I – investigation on high-order M-G model via deterministic learning,” Acta Automatica Sinica, 40(7), 2014, pp. 1265–1277. (in Chinese)

  77. C. Yuan and C. Wang, “Design and performance analysis of deterministic learning of sampled-data nonlinear systems,” Science China: Information Science, 57(3), 2013, pp. 1–18.

  78. C. Yuan and C. Wang, “Performance of deterministic learning in noisy environments,” Neurocomputing, 78, 2012, pp. 72–82.

  79. C. Yuan and C. Wang, “Persistency of excitation and performance of deterministic learning,” Systems and Control Letters, 60, 2011, pp. 952–959.

Conference Papers and Preprints

  1. T. Li, W. Zeng, L. Shan, Y. Chen, C. Yuan, “Detection of obstructive sleep apnea based on ECG system dynamics, hybrid signal processing and neural networks”, The 42nd Chinese Control Conference (CCC 2023), Tianjin, China, Jul. 2023.

  2. L. Shan, W. Zeng, T. Li, Y. Chen, Q. Wang, C. Yuan, “Myocardial infarction detection based on deterministic learning”, The 42nd Chinese Control Conference (CCC 2023), Tianjin, China, Jul. 2023.

  3. J. Zhang, Y. Gu, W. Zeng, C. Yuan, “Boundary tracking control for an unstable wave equation with boundary uncertainties: a backstepping adaptive NN approach”, 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Seattle, Washington, USA, Jun. 2023.

  4. E. Jandaghi, X. Chen, C. Yuan, “Motion dynamics modeling and fault detection of a soft trunk robot”, 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Seattle, Washington, USA, Jun. 2023.

  5. J. Zhang, X. Chen, W. Zeng, M. Zhou, C. Yuan, “Dynamics learning-based fault isolation for a soft trunk robot”, American Control Conference, San Diego, CA, May 2023.

  6. M. Zhou, E. C. Gezer, W. McConnell, C. Yuan, “Acrobatic low-cost portable hybrid auv (alpha): System design and preliminary results”, OCEANS, Hampton Roads, 2022.

  7. J. Trivisonno, C. Amaral, L. Garofalo, X. Chen, E. Jandaghi, C. Yuan, “Automatic control of a soft trunk robot actuated by strings”, 2022 IEEE MIT URTC (undergraduate research technology conference), Boston, MA, Sep. 2022.

  8. J. Zhang, C. Yuan, P. Stegagno, W. Zeng, “Fault isolation of a class of uncertain nonlinear parabolic PDE systems”, the 2022 Modeling, Estimation, and Control Conference, Jersey City, USA, Oct. 2022.

  9. S. Tauchnitz, C. Yuan, P. Stegagno, “Application of distributed linear multi-agent containment control to robotic systems”, the 2022 Modeling, Estimation, and Control Conference, Jersey City, USA, Oct. 2022.

  10. R. A. Thivanka Perera, A. Phillips, C. Yuan, P. Stegagno, “A tracking system for dynamic subset targets using probability hypothesis filtering”, the 2022 Modeling, Estimation, and Control Conference, Jersey City, USA, Oct. 2022.

  11. Y. Gao, C. Yuan, Y. Gu, “Invariant filtering for legged humanoid locomotion on dynamic rigid surfaces”, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Japan, Jul. 2022.

  12. B. Su, W. Zeng, Y. Chen, C. Yuan, “Automatic detection of heart valve disorders using hybrid signal processing and convolutional neural networks”, The 41st Chinese Control Conference, Hefei, China, Jul. 2022.

  13. J. Zhang, C. Yuan, W. Zeng, C. Wang, “Fault detection and isolation of uncertain nonlinear parabolic PDE systems”, arXiv:2203.15850, doi: https:doi.org10.48550arXiv.2203.15850.

  14. J. Legris, X. Chen, W. Zeng, C. Yuan, “Experimental validation of an adaptive NN learning controller on a robotic manipulator”, The 34th Chinese Control and Decision Conference, Hefei, China, May 2022.

  15. J. Zhang, P. Stegagno, W. Zeng, C. Yuan, “Adaptive NN-based boundary control for output tracking of a wave equation with matched and unmatched boundary uncertainties”, American Control Conference, Atlanta, GA, Jun. 2022.

  16. X. Chen, P. Stegagno, W. Zeng, C. Yuan, “Localized motion dynamics modeling of a soft robot: a data-driven adaptive learning approach”, American Control Conference, Atlanta, GA, Jun. 2022.

  17. Y. Gao, C. Yuan, Y. Gu, “Invariant extended Kalman filtering for hybrid models of bipedal robot walking”, 2021 Modeling, Estimation and Control Conference, MECC, Austin, TX, Oct. 2021.

  18. J. Zhang, Y. Gu, P. Stegagno, W. Zeng, C. Yuan, “Adaptive NN-based reference-tracking control of uncertain nonlinear parabolic PDE systems”, 2021 IEEE Conference on Decision and Control, Austin, TX, Dec. 2021.

  19. R. A. Thivanka Perera, C. Yuan, P. Stegagno, “A PHD filter based localization system for robotic swarms”, The 15th International Symposium on Distributed Autonomous Robotic Systems 2021 and The 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021, Kyoto, Japan, Jun. 2021.

  20. S. Brent, C. Yuan, P. Stegagno, “Swarm localization through cooperative landmark identification”, The 15th International Symposium on Distributed Autonomous Robotic Systems 2021 and The 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021, Kyoto, Japan, Jun. 2021.

  21. X. Chen, P. Stegagno, C. Yuan, “A cable-driven switching-legged inchworm soft robot: design and testing”, American Control Conference, New Orleans, Louisiana, USA, May 2021.

  22. S. Brent, C. Yuan, P. Stegagno, “Cooperative place recognition in robotic swarms”, ACM/SIGAPP Symposium on Applied Computing, Gwangju, South Korea, Mar. 2021.

  23. W. Zeng, Z. Lin, C. Yuan, “Myocardial infarction detection using artificial intelligence and nonlinear features based on synthesis of the standard 12-lead and Frank XYZ leads”, Research Square, preprint, Aug. 2020.

  24. J. Zhang, C. Yuan, P. Stegagno, “A novel intelligent learning control scheme for discrete-time nonlinear uncertain systems in multiple environments”, accepted to ASME Dynamic Systems and Control Conference, Pittsburgh, Pennsylvania, Oct. 2020.

  25. X. Chen, P. Stegagno, C. Yuan, “Deterministic learning with probabilistic analysis on human-robot shared control”, accepted to IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, Jul. 2020.

  26. X. Dong, X. Chen, C. Yuan, P. Stegagno, “New results on cooperative multi-vehicle deterministic learning control: design and validation in Gazebo simulation”, accepted to IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, Jul. 2020.

  27. X. Dong, P. Stegagno, C. Yuan, W. Zeng, “Cooperative adaptive learning control for a group of nonholonomic UGVs by output feedback”, arXiv:2002.10059 [eess.SY], preprint, Feb. 2020.

  28. Y. Gu, C. Yuan, “Adaptive robust control of fully actuated bipedal robotic walking”, accepted to IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Boston, Jul. 2020.

  29. W. Zeng, J. Yuan, C. Yuan, Q. Wang, F. Liu, Y. Wang, “A new learning and classification framework for the detection of abnormal heart sound signals using TQWT, VMD and neural networks”, Chinese Control Conference, Shenyang, China, Jul. 2020.

  30. C. Yuan, Y. Gu, W. Zeng, P. Stegagno, “Switching model predictive control of switched linear systems with average dwell time”, American Control Conference, Denver, CO, Jul. 2020.

  31. J. Zhang, C. Yuan, P. Stegagno, “Similar fault isolation of discrete-time nonlinear uncertain systems”, American Control Conference, Denver, CO, Jul. 2020.

  32. G. Bondo, C. Yuan, C. Duan, “Modeling and control of a spherical inverted pendulum with actuator saturation”, ASME 2019 International Mechanical Engineering Congress and Exposition, Salt Lake City, Utah, Nov. 2019.

  33. X. Chen, X. Dong, P. Stegagno, C. Yuan, “Kinect-based human gait recognition using a novel adaptive dynamics learning approach”, ASME Dynamic Systems and Control Conference, Park City, Utah, Oct. 2019.

  34. J. Zhang, C. Yuan, P. Stegagno, “Adaptive dynamics learning for small fault detection of discrete-time nonlinear uncertain systems”, ASME Dynamic Systems and Control Conference, Park City, Utah, Oct. 2019.

  35. J. Zhang, C. Yuan, P. Stegagno, “Adaptive NN learning control of discrete-time nonlinear uncertain systems”, ASME Dynamic Systems and Control Conference, Park City, Utah, Oct. 2019.

  36. W. Zeng, M. Li, C. Yuan, Q. Wang, F. Liu, Y. Wang, “Classification between focal and non-focal EEG signals based on EMD, PSR and neural networks”, Chinese Control Conference, Guangzhou, China, Jul. 2019.

  37. C. Yuan, W. Zeng, P. Stegagno, “Cooperative exact state estimation of linear multi-agent systems with heterogeneous bounded disturbances”, Chinese Control Conference, Guangzhou, China, Jul. 2019.

  38. X. Chen, X. Dong, W. Zeng, C. Yuan, P. Stegagno, “UGV direction control by human arm gesture recognition via deterministic learning”, Chinese Control Conference, Guangzhou, China, Jul. 2019.

  39. N. Xue, C. Yuan, “Sensor and actuator placement for large-scale systems: a projection-based formulation”, American Control Conference, Philadelphia, PA, Jul. 2019.

  40. C. Yuan, N. Xue, W. Zeng, C. Wang, “Composite consensus control and cooperative adaptive learning”, 2018 IEEE Conference on Decision and Control, Miami, FL, Dec. 2018.

  41. X. Dong, C. Yuan, F. Wu, “Cooperative deterministic learning-based trajectory tracking for a group of unicycle-type vehicles”, ASME Dynamic Systems and Control Conference, Atlanta, GA, Oct. 2018.

  42. K. Li, J. Yang, C. Yuan, J. Xu, X. Dai, “Fault-tolerant motion planning of redundant manipulator with initial position error”, 2018 IEEE 7th Data Driven Control and Learning Systems Conference, 2018.

  43. A. Boker, C. Yuan, “High-gain observer-based robust distributed tracking control of heterogeneous nonlinear multi-agent systems”, accepted to Chinese Control Conference, Wuhan, China, Jul. 2018.

  44. W. Wu, C. Wang, C. Yuan, “New results on deterministic learning of sampled-data nonlinear systems”, Chinese Control Conference, Wuhan, China, Jul. 2018.

  45. F. Liu, W. Zeng, C. Yuan, Q. Wang, Y. Wang, “Trajectory-based hand gesture recognition using Kinect via deterministic learning”, Chinese Control Conference, Wuhan, China, Jul. 2018.

  46. C. Yuan, M. Abdelatti, X. Dong, W. Zeng, P. Stegagno, C. Duan, “Cooperative deterministic learning control of robot manipulators with homogeneous nonlinear uncertain dynamics”, Chinese Control Conference, Wuhan, China, Jul. 2018.

  47. W. Zeng, J. Chen, C. Yuan, F. Liu, Q. Wang, Y. Wang, “Accelerometer-based gait recognition via deterministic learning”, Chinese Control and Decision Conference, Shenyang, China, Jun. 2018.

  48. H. Jiang, X. Liu, H. He, C. Yuan, D. Prokhorov, “Neural network based distributed consensus control for heterogeneous multi-agent systems”, accepted to American Control Conference, Milwaukee, WI, Jun. 2018.

  49. C. Yuan, S. Ilbeigi, W. Zeng, T. Chen, “H_infty output containment control of heterogeneous continuous-time multi-agent systems”, American Control Conference, Milwaukee, WI, Jun. 2018.

  50. C. Yuan, H. He, “Robust distributed adaptive containment control of heterogeneous linear uncertain multi-agent systems”, American Control Conference, Milwaukee, WI, Jun. 2018.

  51. C. Yuan, F.Wu, “H_infty consensus control of multi-agent systems subject to diverse time-varying input delays via dynamic output feedback”, American Control Conference, Milwaukee, WI, Jun. 2018.

  52. K. Varada, C. Yuan, M. Sodhi, “Multi-vehicle platoon control with time-varying input delays”, ASME Dynamic Systems and Control Conference, Tysons Corner, VA, Oct. 2017.

  53. C. Yuan, F. Wu, C. Duan, “Cooperative output regulation of multi-agent systems with switched leader dynamics via smooth switching”, ASME Dynamic Systems and Control Conference, Tysons Corner, VA, Oct. 2017.

  54. C. Yuan, “Robust H_inf consensus for multi-agent systems with time-varying input delay using dynamic IQCs,” American Control Conference, 2017, pp. 930-935.

  55. C. Yuan, “Semi-LFT gain-scheduling output regulation of parameter-dependent LFT systems,” American Control Conference, 2017, pp. 3724-3729.

  56. C. Yuan and F. Wu, “H_inf state-feedback control of linear systems with time-varying input delays,” IEEE Conference on Decision and Control, 2016, pp. 586-591.

  57. C. Yuan and F. Wu, “A new hybrid LFT control method for missile autopilot design,” Chinese Control Conference, 2016, pp. 5852-5857.

  58. C. Yuan and F. Wu, “Dynamic IQC-based analysis and synthesis of networked control systems,” American Control Conference, 2016, pp. 5346-5351.

  59. A. M. Boker, C. Yuan, F. Wu and A. Chakrabortty, “Aggregate control of clustered networks with inter-cluster time delays,” American Control Conference, 2016, pp. 5340-5345.

  60. C. Yuan, F. Wu, and C. Duan, “Robust gain-scheduling output feedback control of state-delayed LFT systems using dynamic IQCs,” Proceedings of the 2015 ASME Dynamic Systems and Control Conference, Columbus, OH, USA, Oct. 2015.

  61. C. Yuan, F. Wu, and C. Duan, “Robust switching output feedback control of discrete-time linear polytopic uncertain systems,” Proceedings of the 34th Chinese Control Conference, Hangzhou, China, Jul. 2015, pp. 2973–2978.

  62. C. Yuan, C. Duan, and F. Wu, “Almost output regulation of discrete-time switched linear systems,” American Control Conference, Chicago, IL, USA, 2015, pp. 4042–4047.

  63. C. Yuan and F. Wu, “Hybrid synthesis for almost asymptotic regulation of linear impulsive systems with average dwell time,” Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, CA, USA, Dec. 2014, pp. 4691–4696.

  64. C. Yuan and F. Wu, “A switching control approach for linear systems subject to asymmetric actuator saturation,” Proceedings of the 33rd Chinese Control Conference, Nanjing, China, Jul. 2014, pp. 3959–3964.

  65. C. Yuan and F. Wu, “Output feedback reset control of general MIMO LTI systems,” European Control Conference, Strasbourg, France, Jun. 2014, pp. 2334–2339.

  66. C. Yuan and F. Wu, “Robust control of switched linear systems via min of quadratics,” Proceedings of the 2013 ASME Dynamic Systems and Control Conference, Palo Alto, CA, USA, Oct. 2013, paper No. DSCC2013-3715, pp. V001T01A002.

  67. C. Yuan and C. Wang, “Persistency of excitation and performance of deterministic learning,” Proceedings of the 30th Chinese Control Conference, Yantai, China, Jul. 2011, pp. 2764–2771.