Welcome to Chengzhi Yuan's Personal Site
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Chengzhi Yuan, Ph.D.
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New RA positions are updated Here!
About
Graduate Director, Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, 2023 - present.
Associate Professor, Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, 2022 - present.
Assistant Professor, Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, 2016 - 2022.
Ph.D., Mechanical Engineering, North Carolina State University, 2016.
M.S., Control Science and Engineering, South China University of Technology, 2012.
B.S., Control Science and Engineering, South China University of Technology, 2009.
Research Interests
My research interests span over general areas of dynamic systems and control theory, with particular focuses on
Analytical (provable) adaptive learning methods for system modeling, diagnosis, and control
Hybrid systems, switching control, and impulsive control
Multi-agent distributed learning and control
Applications: soft robotics, multi-robot coordination, unmanned vehicles, and biomedical signal processing.
Ongoing research projects: Check Here!
News:
10/2023: Award: PhD students Emadodin Jandaghi and Xiaotian Chen were recently awarded “Best Student Paper Finalist” in the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. The news was reported on the University Website. Congratulations!!
09/2023: Poster: Our poster on “Preliminary study on communication-only swarm SLAM” has been accepted to the International Symposium on Multi-Robot and Multi-Agent Systems (MRS 2023).
07/2023: Paper: Our paper on “Learning-based tracking control of soft robots” has been accepted to the journal of IEEE Robotics and Automation Letters (RA-L).
06/2023: Funding: Our project on “Large-Scale Additive Manufacturing of UUV Structures” has been funded by the National Institute for Undersea Vehicle Technology (NIUVT).
01/19/2023: Paper: Our paper on “Dynamics learning-based fault isolation for a soft trunk robot” has been accepted to the 2023 American Control Conference.
12/24/2022: Paper: Our paper on “Epileptic EEG identification based on dual Q-factor signal decomposition (DQSD), fast and adaptive multivariate empirical mode decomposition (FA-MVEMD) and neural networks” has been accepted to the journal of Circuits, Systems, and Signal Processing.
12/01/2022: Funding: Our project on “Observability Aware Path Planning for Autonomous Navigation” has been funded by the National Institute for Undersea Vehicle Technology (NIUVT).
10/06/2022: Paper: Our paper on “Detection of myocardial infarction using Shannon energy envelope, FA-MVEMD and deterministic learning” has been accepted to the journal of Artificial Intelligence Review.
08/30/2022: Paper: Our undergraduate students’ research paper on “Automatic control of a soft trunk robot actuated by strings” has been accepted for presentation at the 2022 IEEE MIT URTC (undergraduate research technology conference).
08/24/2022: Funding: Our proposal on “Advancing Underwater Robots in Complex Environments” collaborating with Dr. M. Zhou from GSO at URI has been funded by NSF, see here for more details.
08/22/2022: Paper: Our paper on “A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks” has been accepted to the journal of Artificial Intelligence Review.
08/05/2022: Paper: Our paper on “Myocardial infarction detection using ITD, DWT and deterministic learning based on ECG signals” has been accepted to the journal of Cognitive Neurodynamics.
06/30/2022: Papers: Our three papers on fault isolation of PDE systems and filtering and control of robotic systems have been accepted for presentation in the 2022 Modeling, Estimation, and Control Conference to be held in Jersey City in Oct. 2022.
06/26/2022: Promotion: I have been officially tenured and promoted to Associate Professor of Mechanical Engineering at the University of Rhode Island.
06/26/2022: Paper: Our paper on soft robot dynamics modeling and diagnosis has been published to the IEEE Robotics and Automation Letters, download here.
05/16/2022: New Openings: Two more fully-funded PhD Research Assistant positions are available to work on Design, Modeling and Control of Autonomous Underwater Vehicles at URI, please check out more details Here!
05/13/2022: Paper: Our paper collaborating with Dr. Yan Gu on filtering for legged humanoid locomotion has been been accepted to the journal of IEEE Transactions on Mechatronics, which will also be presented at the 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
04/01/2022: Papers: Our two papers on artificial intelligent methods in biomedical applications have been accepted to the journal of Artifical Intelligence Review and the Chinese Control Conference, respectively.
03/08/2022: Papers: Our two papers on boundary control of PDE systrems and soft robot modeling have been accepted to the American Control Conference, Atlanta, GA, Jun. 2022.
03/08/2022: Paper: Our paper on adaptive learning control on a real robotic manipulator has been accepted to the Chinese Control and Decision Conference, Hefei, China, May 2022.
01/24/2022: New Member: Emadodin Jandaghi joined the ICRobots Lab as a PhD student.
08/25/2021: Paper: Our paper on “Hybrid control of switched LFT uncertain systems with time-varying input delays” has been accepted to the International Journal of Control.
08/06/2021: Paper: Our paper on “Invariant extended Kalman filtering for hybrid models of bipedal robot walking” has been accepted to the Modeling, Estimation and Control Conference, MECC 2021.
07/27/2021: Paper: Our paper on “Adaptive NN-based reference-tracking control of uncertain nonlinear parabolic PDE systems” has been accepted to the IEEE Conference on Decision and Control to be held at Austin TX, Dec. 2021.
07/19/2021: Papers: Our papers on “Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments” and “ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning” have been accepted respectively to the journal of Neurocomputing and the journal of International Journal of Machine Learning and Cybernetics.
06/03/2021: Paper: Our paper on “Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability” has been accepted to the Neurocomputing.
04/12/2021: Award: Congratulations to Matthew Morgan, for receiving the Tuition Scholarship Award from the URI Graduate School, he will join the ICRobots Lab as a master student in Fall 2021.
03/29/2021: Service: I will serve as a committee member for the inaugural International Conference on Mechanical System Dynamics (ICMSD) to be held in Nanjing, China on Oct. 22, 2021.
03/19/2021: Service: I joined the newly-launched journal: International Journal of Mechanical System Dynamics (IJMSD, ISSN 2767-1402) as an editorial board member.
02/15/2021: Paper: Our two papers on “A PHD filter based localization system for robotic swarms” and “Swarm localization through cooperative landmark identification”, collaborating with Dr. P. Stegagno, have been accepted to The 15th International Symposium on Distributed Autonomous Robotic Systems 2021 and The 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021, to be held in Kyoto, Japan in Jun. 2021.
01/31/2021: Paper: Our paper on “Adaptive robust tracking control for hybrid models of 3-D bipedal robotic walking under uncertainties”, collaborating with Dr. Y. Gu, has been accepted to the ASME Journal of Dynamic Systems, Measurement, and Control.
01/29/2021: Paper: Our paper on “Cooperative adaptive containment control with parameter convergence via cooperative finite-time excitation”, collaborating with Drs. P. Stegagno, H. He, and W. Ren, has been accepted to the IEEE Transactions on Automatic Control.
01/28/2021: Paper: Our paper on “Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning”, collaborating with Dr. W. Zeng, has been accepted to the Artificial Intelligence Review.
01/24/2021: Paper: Both papers of PhD students, Xiaotian Chen and Jingting Zhang, have been accepted to the 2021 American Control Conference to be held in New Orleans, Louisiana, USA in May 2021.
01/03/2021: Research: Our research is featured at the University's Homepage.
12/29/2020: Paper: Our paper on “Cooperative learning-based formation control of autonomous marine surface vessels with prescribed performance”, collaborating with Dr. S. Dai, has been accepted to the IEEE Transactions on Systems, Man and Cybernetics: Systems.
11/27/2020: Paper: Our paper on “Cooperative place recognition in robotic swarms”, collaborating with Dr. P. Stegagno, has been accepted to the SAC ACM Symposium on Applied Computing to be held in Gwangju, South Korea in Mar. 2021.
11/25/2020: Funding: Our proposal on “FORE: Field Oriented Robotic Equipment”, collaborating with Drs. M. Zhou, C. Roman, P. Stegagno and S. Licht, has been funded by The Champlin Foundation.
11/23/2020: Book Chapter: Our work on “Robust output feedback control of linear state-delayed systems using dynamic IQCs” has been published as a chapter to the book “Control Strategy for Time-Delay Systems”.
11/16/2020: Paper: PhD student, Jingting Zhang's paper on “Fault detection of a class of nonlinear uncertain parabolic PDE systems” has been accepted to the IEEE Control Systems Letter.
11/10/2020: Paper: Our paper on “A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks”, collaborating with Dr. Zeng, has been accepted to the journal of Soft Computing.
09/18/2020: Special Issue: Our special issue on “Vibration Dynamics and Control of Vehicle and Rotor Systems” is open for submissions through the journal of Shock and Vibration.
08/20/2020: Paper: Our paper on “Myocardial infarction detection using artificial intelligence and nonlinear features based on synthesis of the standard 12-lead and Frank XYZ leads”, collaborating with Dr. Zeng, has been published as a preprint to Research Square.
07/10/2020: Paper: Our paper on “Distributed cooperative learning control of uncertain multi-agent systems with prescribed performance and preserved connectivity”, collaborating with Dr. Dai, has been accepted to IEEE Transactions on Neural Networks and Learning Systems.
07/06/2020: Paper: Our paper on “A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks”, collaborating with Dr. Zeng, has been accepted to Artificial Intelligence Review.
07/06/2020: Paper: Our paper on “Convex synthesis for optimal H_inf consensus of input-delayed multi-agent systems via dynamic relative output feedback”, collaborating with Dr. Huang, has been accepted to International Journal of Control.
06/15/2020: Paper: Our paper on “Dynamic relative output-feedback consensus for multi-agent systems subject to actuator saturation”, collaborating with Dr. Huang, has been accepted to IEEE Access.
06/09/2020: Paper: PhD student, Jingting Zhang's paper on “A novel intelligent learning control scheme for discrete-time nonlinear uncertain systems in multiple environments” has been accepted to the 2020 ASME Dynamic Systems and Control Conference (DSCC) to be held in Pittsburgh, Pennsylvania in Oct. 2020.
05/01/2020: Papers: Three papers on various research topics on robotics by PhD students Xiaotian Chen and Xiaonan Dong, as well as collaborating with Dr. Y. Gu, have been accepted to the 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) to be held in Boston MA in July, 2020.
04/22/2020: Paper: PhD student, Jingting Zhang's paper on “Similar faults isolation for discrete-time nonlinear uncertain systems: an adaptive threshold based approach” has been accepted to IEEE Access.
04/16/2020: Paper: Our paper on “A new learning and classification framework for the detection of abnormal heart sound signals using TQWT, VMD and neural networks”, collaborating with Dr. W. Zeng, has been accepted to the 2020 Chinese Control Conference to be held in Shenyang China in July 2020.
04/15/2020: Graduation: My first Ph.D. student, Xiaonan Dong, has successfully defended his Ph.D. dissertation on “Composite Adaptive Learning and Control for Multi-Robot Coordination”.
03/27/2020: NSF Grant: Our project on “Towards Computationally Efficient One-Shot Design for Performance-Critical Distributed Multi-Agent Control”, collaborating with Dr. P. Stegagno, has been funded by NSF.
03/20/2020: Paper: Our paper on “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”, collaborating with Dr. W. Zeng, has been accepted to Artificial Intelligence in Medicine.
02/29/2020: Paper: Our paper on “Rapid Dynamical Pattern Recognition for Sampling Sequences”, collaborating with Dr. C. Wang, has been accepted to SCIENCE CHINA Information Sciences.
02/25/2020: Paper: PhD student, Xiaonan Dong's paper on “Cooperative adaptive learning control for a group of nonholonomic UGVs by output feedback” has been published to arXiv.
02/10/2020: Paper: Our paper on “A new frequency-domain approach for the exact range of imaginary spectra and the stability analysis of LTI systems with two delays”, collaborating with Drs. S. Song, Q. Gao, H. R. Karimi, L. Pekar and S. Guo, has been accepted to IEEE Access.