汽车工程研究院

硕士导师

孙中波

发布者:  时间:2020-03-02  浏览:

孙中波,男,198212月生,讲师,博士后,硕士研究生导师。

办公电话:0431-85714441

电子邮箱:zbsun@ ccut.edu.cn

教育背景:

2013/09-2016/06,吉林大学,控制理论与控制工程,博士

2007/09-2010/04,桂林电子科技大学,运筹学与控制论,硕士

2003/09-2007/06,长春大学,数学与应用数学,学士

工作履历:

2019/09-2020/06  北京大学  工学院  访问学者

2019/12-2020/03  密歇根州立大学  工程与计算机学院 访问学者

2017/11-,吉林大学,仿生工程教育部重点实验室,博士后

2016/12-,  长春工业大学,电气与电子工程学院,讲师

学术兼职:

1. 吉林省自动化学会理事(2019-

2.中国自动化学会会员(2017-

3.吉林省人工智能学会会员(2018-

研究领域:

1. 康复机器人

2. 双足机器人

3. 神经网络控制与优化

科研项目:

1. 国家自然科学基金(面上),61873304,基于混杂理论的下肢康复机器人人机交互控制方法研究, 2019.1-2022.12, 63万,在研,主持.

2. 教育部春晖计划项目,下肢康复机器人人机交互控制方法研究, 2019.6-2021.6, 2, 在研, 主持.

3. 吉林省科技发展计划项目(技术攻关),20190302025GX,汽车零部件虚拟协同制造系统平台开发与产品全生命周期智能控制,2019.1-2021.12, 100万,在研,主持.

4. 吉林省教育厅十三五规划,JJKH20181012KJ,可穿戴式下肢康复机器人交互控制方法研究,2018.1-2019.124万,结项,主持.

代表性学术成果:

1. Jian Li, et al. Different Modified Z-Type Neural Dynamics with Inherent Tolerance to Noises for Online Time-Varying Inverse Square Root Solving: A Control-Theoretic Approach, Neurocomputing, Accept2019.  IF.4.072SCI 检索.  (ZB Sun通讯)

2.Zhongbo Sun, et al, Noise-Suppressing Zeroing Neural Network for Online Time-Varying Nonlinear Optimization Problems: A Control-Based Approach, Neural Computing and Applications, Accept2019, DOI: 10.1007/s00521-019-04639-2, IF.4.664SCI 检索.

3.Zhongbo Sun, et al Different Modified Zeroing Neural Dynamics with Inherent Tolerance to Noises for Time-Varying Reciprocal Problems: A Control-Theoretic Approach, Neurocomputing, 2019,337:165-179. IF.4.072. SCI检索.

4.Zhongbo Sun, et al, A New Trust Region-Sequential Quadratic Programming Approach for Nonlinear Systems Based on Nonlinear Model Predictive Control, Engineering Optimization, 2019, 51(6):1071-1096. IF.1.809. SCI检索.

5. Zhongbo Sunet al. A Novel Projected Fletcher-Reeves Conjugate Gradient Approach for Finite-Time Optimal Robust Controller of Linear Constraints Optimization Problem: Application to Bipedal Walking Robots, Optimal Control Applications and Methods, 201839(1):130-159. IF 1.558. SCI 检索. 

6. Zhongbo Sunet al. Two Modified Spectral Conjugate Gradient Methods with a New Conjugacy Condition for Unconstrained Optimization, International Journal of Computer Mathematics, 2018, 95(10): 2082--2099. IF 0.971. SCI检索. 

7.Zhongbo Sunet al. A Superlinear Convergence Feasible Sequential Quadratic Programming Algorithm for Bipedal Dynamic Walking Robot via Discrete Mechanics and Optimal Control, Optimal Control Applications and Methods, 2016, 37(6): 1139-1161. IF 1.558. SCI检索. 

8. Zhongbo Sunet al. Two Modified Three-term Type Conjugate Gradient Methods and Their Global Convergence for Unconstrained OptimizationMathematical Problems in Engineering, 2014, 1-9. IF 1.082. SCI检索.

9. K. Liu, et al. An Adaptive Iterative Learning Control Based on Disturbance Estimation for Manipulator System, International Journal of Advanced Robotic Systems, 16(3):1-13, 2019. IF. 1.223, SCI 检索.  (ZB Sun通讯)

10. M. Wang, et al. A Dai-Yuan Conjugate Gradient Algorithm of Linear Equation Constrained Optimization Approach for Optimal Robust Controller of Bipedal Robots. International Journal of Advanced Robotic Systems, Accept, 2019. DOI: 10.1177/1729881419890178,1-12, IF. 1.223, SCI 检索. (ZB Sun通讯)

 


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