自动化工程学院
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| 导师代码： |
21596
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| 导师姓名： |
张静婷
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| 性 别： |
女 |
| 特 称： |
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| 职 称： |
讲师
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
zhangjt@uestc.edu.cn
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| 学术经历：
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本人于2017年6月毕业于华南理工大学，获自动化学士学位。于 2018年9月至 2023年5月在美国罗德岛大学智能控制与机器人实验室担任研究助理，并取得机械工程与应用力学专业博士学位。本人主要从事非线性不确定动力学系统的建模与智能控制、及软体机器人应用技术与基础研究，博士学位论文题目为“复杂非线性不确定动态系统的建模、诊断与控制研究:从算法设计到物理实验”。2023年9月至今，申请人在电子科技大学自动化工程学院任职讲师硕士生导师，在人机智能技术与系统教育部研究中心开展研究工作，目前研究方向包括智能康复机器人、复杂人机动态系统、非线性动态系统机器学习等。
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| 个人简介：
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张静婷，博士，现任电子科技大学自动化工程学院讲师，硕士生导师，入选国家海外引才专项人才计划（与国家博新计划同等互斥）。主持有国家自然科学基金青年科学基金项目、四川省自然科学基金青年项目等7个项目。在机器人与控制领域著名期刊和国际会议上发表论文26篇，其中以第一作者/通讯作者发表22篇论文，成果发表有IEEE Transactions on Automatic Control、IEEE Transactions on Cybernetics、IEEE Transactions on Industrial Informatics、IEEE Robotics and Automation Letters等控制与机器人领域国际知名期刊。获IEEE机器人与自动化协会承办的著名国际会议2024 IEEE ROBIO仿生学最佳论文奖（通讯作者，学生一作）、中国智能自动化大会的最佳学生论文奖（通讯作者，学生一作）。申请国家发明专利6项。主要研究方向是确定学习、动态系统建模与智能控制、神经反馈训练智能技术等。
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| 科研项目：
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1.（主持）国家自然科学基金青年科学基金项目：面向软体机器人手功能辅助训练的强不确定人机系统建模与灵巧控制研究，2025.01—2027.12
2.（主持）四川省自然科学基金青年项目：面向强动态人机交互的软体机器人多变柔顺控制研究，2025.01—2026.12
3.（主持）护理学四川省重点实验室重点项目：面向卒中后手功能康复的手功能软体机器人灵巧控制技术研究，2025.01—2026.12
4.（主持）中央高校基本科研业务费：面向手功能康复软体机器人的强不确定人机系统建模与灵巧控制研究，2024.09—2026.09
5.（主持）中国船舶集团有限公司第七一三研究所技术开发项目：BCI人机交互设计及数据开发技术服务，2025.02—2025.09
6.（主持）四川交通职业技术学院技术开发项目：面向桥梁巡检的无人机自主定位于导航技术研究，2024.10—2025.09
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| 研究成果：
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[1]Jingting Zhang, Chengzhi Yuan*, Fen Wu, Cong Wang, Hong Cheng. Deterministic Learning-based Tracking Control for Parabolic PDE Systems with Infinite-dimensional Nonlinear Uncertain Dynamics. IEEE Transactions on Automatic Control, 2025.（控制领域顶刊，中科院一区TOP）
[2]Jingting Zhang, Chengzhi Yuan*, Paolo Stegagno, Haibo He, Cong Wang. Small fault detection of discrete-time nonlinear uncertain systems. IEEE Transactions on Cybernetics, 2019.（中科院一区TOP）
[3]Fengjun Mu, Rui Huang*, Jingting Zhang, Chaobin Zou, Kecheng Shi, Shixiang Sun, Huayi Zhan, Pengbo Zhao, Jing Qiu, Hong Cheng. SS-Pose: Self-Supervised 6-D Object Pose Representation Learning Without Rendering. IEEE Transactions on Industrial Informatics, 2024.（中科院一区）
[4]Rui Luo, Wanlin Tan, Zhinan Peng*, Jingting Zhang, Jiangping Hu, Bijoy Kumar Ghosh. Optimal Consensus Control for Multi-Agent Systems With Unknown Dynamics and States of Leader: A Distributed KREM Learning Method. IEEE Transactions on Circuits and Systems II: Express Briefs, 2024.（中科院一区）
[5]Jingting Zhang, Chengzhi Yuan*, Paolo Stegagno, Wei Zeng, Cong Wang. Small fault detection from discrete-time closed-loop control using fault dynamics residuals. Neurocomputing, 2019.（中科院二区）
[6]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, 2020.（中科院二区）
[7]Jingting Zhang, Xiaotian Chen, Paolo Stegagno, Chengzhi Yuan*. Nonlinear dynamics modeling and fault detection for a soft trunk robot: an adaptive NN-based approach. IEEE Robotics and Automation Letters, 2022.（中科院二区TOP）
[8]Jingting Zhang, Xiaotian Chen, Paolo Stegagno, Mingxi Zhou, Chengzhi Yuan*. Learning-Based Tracking Control of Soft Robots. IEEE Robotics and Automation Letters, 2023.（中科院二区TOP）
[9]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, 2021.（中科院二区）
[10]Jingting Zhang, Chengzhi Yuan*, Wei Zeng, Paolo Stegagno, Cong Wang. Fault detection of a class of nonlinear uncertain parabolic PDE systems. IEEE Control Systems Letters, 2020. （中科院三区）
[11]Jingting Zhang, Chengzhi Yuan*, Paolo Stegagno. Similar fault isolation of discrete-time nonlinear uncertain systems using smallest residual principle. American Control Conference (ACC), 2020.（控制领域顶会）
[12]Jingting Zhang, Xiaotian Chen, Emadodin Jandaghi, Wei Zeng, Mingxi Zhou, Chengzhi Yuan*. Dynamics learning-based fault isolation for a soft trunk robot. American Control Conference (ACC), 2023.（控制领域顶会）
[13]Jingting Zhang, Paolo Stegagno, Wei Zeng, Chengzhi Yuan*. Adaptive NN-based boundary control for output tracking of a wave equation with matched and unmatched boundary uncertainties. American Control Conference (ACC), 2022.（控制领域顶会）
[14]Jingting Zhang, Yan Gu, Paolo Stegagno, Wei Zeng, Chengzhi Yuan*. Adaptive NN-based reference-tracking control of uncertain nonlinear parabolic PDE systems. 60th IEEE Conference on Decision and Control (IEEE CDC), 2021.（控制领域顶会）
[15]Zhinan Peng*, Chen Chen, Rui Luo, Jingting Zhang, Hong Cheng, Bijoy Kumar Ghosh. Learning-Based Tracking Control of Unknown Robot Systems with Online Parameter Estimation. American Control Conference (ACC), 2024.（控制领域顶会）
[16]Fengjun Mu, Jingting Zhang*, Chaobin Zou, Zonghai Huang, Rui Huang, Hong Cheng. Gaze Betray You: Abnormal Attention Detection from Human-Robot Interaction Dynamics. IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024.（最佳仿生学论文奖，Best Paper Award in Biomimetics）
[17]Chen Chen, Shuhe Yuan, Jingting Zhang*, Fengjun Mu, Chaobin Zou, Hong Cheng. A VisuoMotor Human-Robot Interaction Framework for Attention-Motion-Integrated Training. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. （机器人领域顶会）
[18]Lianchi Zhang, Mengxi Lei, Jingting Zhang*, Zonghai Huang, Rui Huang, Hong Cheng. Engaging Mind and Body: An Immersive BCI Paradigm with Motion-Panoramic Virtual Reality. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. （机器人领域顶会）
[19]Jingting Zhang, Yan Gu, Wei Zeng, Chengzhi Yuan*. Boundary Tracking Control for an Unstable Wave Equation with Boundary Uncertainties: A Backstepping Adaptive NN Approach. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (IEEE AIM), 2023.
[20]Jingting Zhang, Chengzhi Yuan*, and Paolo Stegagno. A novel intelligent learning control scheme for discrete-time nonlinear uncertain systems in multiple environments. Dynamic Systems and Control Conference (DSCC), 2020.
[21]Jingting Zhang, Chengzhi Yuan*, and Paolo Stegagno. Adaptive dynamics learning for small fault detection of discrete-time nonlinear uncertain systems. Dynamic Systems and Control Conference (DSCC), 2019.
[22]Jingting Zhang, Chengzhi Yuan*, Paolo Stegagno. Adaptive NN learning control of discrete-time nonlinear uncertain systems. Dynamic Systems and Control Conference (DSCC), 2019.
[23]Jingting Zhang, Chengzhi Yuan*, Paolo Stegagno, Wei Zeng. Fault Isolation of a Class of Uncertain Nonlinear Parabolic PDE Systems. IFAC-PaperOnLine, 2022.
[24]Jingting Zhang, Zhinan Peng*, Chaobin Zou, Rui Huang, Hong Cheng. Deterministic Learning-based Impedance Control for Human-Robot Interaction with Nonlinear Uncertain Dynamics. 43rd Chinese Control Conference (CCC), 2024.
[25]Jingting Zhang, Zonghai Huang, Fengjun Mu, Chen Chen, Chaobin Zou*, Hong Cheng. Kinematics-Dynamics-Coupled Learning and Control of Discrete-Time Nonlinear Mechanical Systems with Completely-Unknown Dynamics. 44rd Chinese Control Conference (CCC), 2025.
[26]Zhuo Fang, Zonghai Huang, Jingting Zhang*, Rui Huang, Hong Cheng. Freezing of Gait Recognition via Deterministic Learning and Electromyography. Chinese Intelligent Automation Conference (CIAC), 2025.
[27]Fengjun Mu, Jingting Zhang*, Chaobin Zou. Gaze2Atten: Analyzing Explainable Gaze Dynamics to Monitor Human Attention. 17th International Conference on Intelligent Robotics and Applications (ICIRA), 2024.
[28]Lianchi Zhang, Jingting Zhang*, Fengjun Mu, Rui Huang. Dynamical Feature Extraction and Pattern Recognition for Mental Workload Level with FNIRS. 17th International Conference on Intelligent Robotics and Applications (ICIRA), 2024.
[29]Zhe Li, Kecheng Shi, Wenjiang Li, Fengjun Mu, Jingting Zhang, Rui Huang*, Hong Cheng. A Dynamic Evaluation-Denoising Network for Motion Artifacts Removal from Single-Channel EEG. 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2024.
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 081100控制科学与工程 |
01复杂系统与智能信息处理，02新能源系统及控制技术，03模式识别与智能系统 |
硕士学术学位 |
| 085400电子信息 |
01测控技术及自动化（非全） |
硕士专业学位 |
| 085406控制工程 |
01复杂系统与智能信息处理，02新能源系统及控制技术，03模式识别与智能系统 |
硕士专业学位 |
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