教育与工作经历

2006.09-2010.07  威尼斯登录入口官网 威尼斯登录入口官网 自动化 学士

2010.09-2012.07  威尼斯登录入口官网 威尼斯登录入口官网 控制工程 硕士

2012.09-2017.05 加拿大康考迪亚大学 工程与计算科学学院 机械工程 博士

2017.11-2019.04 新加坡国立大学 生物医疗工程 博士后

2019.05-2020.08 瑞士洛桑联邦理工学院 工程学院 机械工程 博士后

2020.10-现在     威尼斯登录入口官网 威尼斯登录入口官网 智信所 预聘助理教授

研究方向

1. 基于深度学习/神经网络的无人机/无人车/机器人自适应控制；

2. 微电网/新能源装置控制；

近5年承担的科研项目

1. 机器人制造系统中的视觉/触觉融合伺服控制 加拿大国家科学与工程研究委员会 C$170,000 2015-2017 参与

2. 压电驱动器及扑翼微型航空器的机制研究及优化 新加坡国立大学 S$300,000 2017-2019 参与

3. 分布式能源系统的暂态控制研究 瑞士国家科学基金 Fr.400,000 2019-2020 参与

4. 大负载多电机驱动系统的多时间尺度建模及控制 国家自然科学基金委 ¥300,000 2022-2024 主持

代表性学术论文

1. D.-D. Zheng, S. S. Madani and A. Karimi*, “Data-driven distributed online learning control for islanded microgrids,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2022.

2. S. Hu, X. Ren*, M. Wang, D.-D. Zheng, “Observer-based optimal adaptive control for multimotor driving servo systems,” International Journal of Robust and Nonlinear Control, vol. 31, pp. 9745-9766, 2021.

3. P. Wang, X. Ren*, D.-D. Zheng, “Event-triggered resilient control for cyber-physical systems under periodic DoS jamming attacks,” Information Sciences, vol. 577, pp. 541-556, 2021.

4. Y. Cheng, X. Ren*, D.-D. Zheng and L. Li, “Non-Linear Bandwidth Extended-State-Observer Based Non-Smooth Funnel Control for Motor-Drive Servo Systems,” IEEE Transactions on Industrial Electronics, vol. 69, no. 6, pp. 6215-6224, June 2022.

5. K. Guo*, D.-D. Zheng*, and Jianyong Li, “Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems,” IEEE Transactions on Cybernetics, 2021.

6. D.-D. Zheng, Pengcheng Li, W.-F. Xie, and Dan Li, “Identification and control of flexible joint robot using multitime-scale neural network,” Journal of Shanghai Jiao Tong University (Science), vol. 25, no. 5, pp. 553-560, 2020.

7. Y. Zhang, M. Wang, Y. Cheng, D.-D. Zheng and Y. Peng, “A stick-slip/inchworm hybrid rotary piezo motor based on a symmetric triangular driving mechanism,” Applied Physics Letters, vol. 115, no. 13, pp. 131904, 2019.

8. K. Guo, Y. Pan, D.-D. Zheng and H. Yu, “Composite learning control of robotic systems: A least squares modulated approach,” Automatica, vol. 111, 2020.

9. D.-D. Zheng, Y. Pan, K. Guo and H. Yu, “Identification and control of nonlinear systems using neural networks: a singularity-free approach,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 9, pp. 2696–2706, Sept. 2019.

10. Q. Chen, X. Ren, J. Na, and D.-D. Zheng, “Adaptive robust finite-time neural control of uncertain PMSM servo system with nonlinear dead zone,” Neural Computing and Applications, vol. 28, no. 12, pp. 3725–3736, 2017.

11. D.-D. Zheng, W.-F. Xie, T. Chai, and Z. Fu, “Identification and trajectory tracking control of nonlinear singularly perturbed systems,” IEEE Transactions on Industrial Electronics, vol. 64, no. 5, pp. 3737–3747, May 2017.

12. D.-D. Zheng, W.-F. Xie, X. Ren, and J. Na, “Identification and control for singularly perturbed systems using multitime-scale neural networks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 2, pp. 321–333, Feb. 2017.

13. Z.-J. Fu, W.-F. Xie, S. Rakheja, and D.-D. Zheng, “Adaptive optimal control of unknown nonlinear systems with different time scales,” Neurocomputing, vol. 238, pp. 179–190, 2017.

14. D.-D. Zheng, Z. Fu, W.-F. Xie, and W. Luo, “Indirect adaptive control of nonlinear system via dynamic multilayer neural networks with multi-time scales,” International Journal of Adaptive Control and Signal Processing, vol. 29, no. 4, pp. 505–523, 2015.

15. J. Na, X. Ren, and D.-D. Zheng, “Adaptive control for nonlinear pure-feedback systems with high-order sliding mode observer,” IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 3, pp. 370–382, Mar. 2013.

授权国家发明专利

出版专著

科研获奖

讲授课程、出版教材及教学成果

讲授课程

智能计算系统

出版教材

教学成果

学术兼职