陈健楠
  • 硕士生导师
  • 单 位 : 电气工程学院
学位 : 博士学位
学历 : 博士研究生毕业
出生年月 : 1992-03
毕业院校 : 燕山大学
研究领域

   1. Research Field: 

      (1) Nonlinear Controlincluding traditional control and learning control of high-order nonlinear system.

      (2) Unmanned System Control: including unmanned aerial vehicle control, unmanned ground vehicle control, etc.

      (3) Deep Learingincluding brain-computer interface, EEG and EMG pattern recognition.

      (4) Soft RobotIncluding the fabrication and control of bionic robots.

   2. Paper Publications:

      (1) For Nonlinear Control you can read "Adaptive Full-state Constrained Control of Nonlinear Systems with Deferred Constraints Based on Nonbarrier Lyapunov Function  

           Method, IEEE Transactions on Cybernetics". 

      (2) For Unmanned System Control:  you can read "Distributed Adaptive Containment Control of Uncertain QUAV Multiagents with Time-varying Payloads and Multiple            

           Variable  Constraints, ISA Transactions".

      (3) For Deep Learning and Soft Robot: you can read "Attention-Based Multimodal tCNN for Classification of Steady-state Visual Evoked Potentials and Its Application to 

           Gripper Control, IEEE Transactions on Neural Networks and Learning Systems".

      (4) For More: Just Google: Jiannan Chen. 

   3. Research Projects: 

      (1) Post-Doctoral Innovative Research Program.

      (2) National Natural Science Foundation Youth Project.


个人简介

一. 教育经历

    1. 2015.09-2021.01    燕山大学 非线性控制(博士)

    2. 2021.01-2023.01    清华大学 人工智能(博士后)


二. 研究方向

    1. 非线性控制,无人机控制,无人车控制;

    2. 基于深度学习的脑肌电等生理信号辨识;

    3. 软体机器人;

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