林壮壁 Lin Zhuangbi

  • 博士,首聘副教授,硕士生导师
  • 华南农业大学,数学与信息学院计算机科学与工程系
  • 研究方向:智能控制理论,非线性控制,多智能体系统
  • 邮箱:zhuangbilin@outlook.com

Short Biography

林壮壁,博士,华南农业大学数学与信息(软件)学院教师,研究生导师。主要从事智能控制理论,非线性控制,多智能体系统等相关领域的研究工作。

工作经历
2023.9至今 华南农业大学数信学院 教师
教育背景
2018.9 – 2023.6 广东工业大学 控制科学与工程 博士
2014.9 – 2018.6 广东工业大学 电气工程及其自动化 本科
研究领域
智能控制理论,非线性控制,多智能体系统

第一作者发表SCI收录论文8篇;第二作者授权发明专利1件;参与国家级、省部级科研项目4项;担任IEEE Transactions on Industrial Electronics、IEEE Transactions on Systems, Man, and Cybernetics: Systems、IEEE/CAA Journal of Automatica Sinica等期刊审稿人。

Publications

1. Lin Z, Liu Z, Su CY, et al. Adaptive Fuzzy Prescribed Performance Output-Feedback Cooperative Control for Uncertain Nonlinear Multi-agent Systems[J]. IEEE Transactions on Fuzzy Systems, 2023, DOI: 10.1109/TFUZZ.2023.3285649. (中科院一区,IF:12.25,top期刊)

2. Lin Z, Liu Z, Chen C L P, et al. Adaptive Neural Inverse Optimal Tracking Control for Uncertain Nonlinear System with Actuator Faults[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(5): 2837-2850.(中科院一区,IF:11.47,top期刊)

3. Lin Z, Liu Z, Zhang Y, et al. Adaptive neural inverse optimal tracking control for uncertain multi-agent systems[J]. Information Sciences, 2022, 584: 31-49.(中科院一区,IF:8.23,top期刊)

4. Lin Z, Liu J, Chen C L P, et al. Distributed Fuzzy Inverse Optimal Fixed-time Control for Uncertain Multi-agent Systems[J]. Information Sciences, 2023: 119670.(中科院一区,IF:8.23,top期刊)

5. Lin Z, Liu Z, Zhang Y, et al. Command filtered neural control of multi-agent systems with input quantization and unknown control direction[J]. Neurocomputing, 2021, 430: 47-57.(中科院二区,IF:5.77,top期刊)

6. Lin Z, Liu Z, Zhang Y, et al. Adaptive neural consensus tracking control for multi-agent systems with unknown state and input hysteresis[J]. Nonlinear Dynamics, 2021, 105(2): 1625-1641.(中科院二区,IF:5.74)

7. Lin Z, Liu Z, Chen C L P, et al. Adaptive Neural Inverse Optimal Control with Predetermined Tracking Accuracy for Nonlinear MIMO Systems[J]. Nonlinear Dynamics, 2023.(中科院二区,影响因子5.74)

8. Lin Z, Liu Z, Zhang Y, et al. Distributed adaptive cooperative control for uncertain nonlinear multi-agent systems with hysteretic quantized input[J]. Journal of the Franklin Institute, 2020, 357(8): 4645-4663.(中科院二区,IF:4.24)

9. Lin Z, Liu Z. Adaptive Neural Consensus Control of Nonlinear Multi-agent Systems with Actuator Failures[C]//2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS). IEEE, 2021: 32-37. (EI会议论文)