梁梦丹，博士，南阳师范学院讲师

专业：数学

邮箱：mengdanliang@nynu.edu.cn

教育经历：

2015.09-2019.06 河南科技大学数学与统计学院数学与应用数学专业 学士

2019.09-2025.06 西安电子科技大学数学与统计学院数学专业（硕博连读） 博士

研究方向：主要从事网络化系统协同控制问题、迭代学习控制、数据驱动控制、自适应控制等理论与应用研究，以第一作者发表SCI/EI论文8篇

主要论著：

[1]Liang, Mengdan; Li, Junmin and Li, Jinsha. Coordinated fuzzy adaptive iterative learning control of consensus for unknown nonlinear multi-agent systems[J].International Journal of Fuzzy Systems, 2022, 24(6):3000-3014.

[2]Liang Mengdan; Li Junmin. Distributed adaptive iterative learning exact consensus for nonlinear strict-feedback multi-agent systems with unknown control directions[J].Iranian Journal of Fuzzy Systems, 2023, 20(4):57-74.

[3]Liang Mengdan; Li Junmin. Iterative learning consensus for non-strict feedback multi-agent systems with unknown control direction and saturation input[J]. IEEE Systems Journal, 2022, 17(3):4234-4244.

[4]Liang, Mengdan; Li, Junmin. Global bipartite exact consensus of unknown nonlinear multi-agent systems with switching topologies: iterative learning approach[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025, 9(1):537-551.

[5]Liang, Mengdan; Li, Junmin.Nonlinear filter-based fuzzy adaptive iterative learning consensus for multi-agent systems with asymmetric dead-zone output[J].International Journal of Systems Science, 2025, DOI10.1080/00207721. 2025. 2515234.

[6]Liang, Mengdan; Li, Junmin. Data-driven iterative learning security consensus for nonlinear multi-agent systems with fading channels and deception attacks[J]. IEEE Internet of Things Journal, 2025, DOI: 10.1109/JIOT.2025.3542448.

[7]Liang, Mengdan; Li, Junmin. Distributed data-driven iterative learning point-topoint consensus tracking control for unknown nonlinear multi-agent systems[J]. Neurocomputing, 2023, 561:126875.

[8]Liang, Mengdan; Li, Junmin and Li, Jinsha. Coordinated fuzzy adaptive iterative learning control for nonlinear multi-agent systems[J]. 2021 IEEE 10th Data Driven Control and Learning Systems Conference(DDCLS), Suzhou, China, 2021, pp. 29-34, DOI: 10.1109/DDCLS52934.2021.9455511.