兰洁，博士，副教授，硕士研究生导师，主持国家自然科学基金青年项目1项、辽宁省科技厅面上项目1项，辽宁省教育厅重点项目1项，辽宁省教育厅项目1项；作为主要成员参与国家自然科学基金重点项目1项，国家自然科学基金重点研发计划项目1项，国家自然科学基金面上项目2项，中国高等学校产学研创新基金—无人集群协同智能项目1项。2023年入选“锦绣英才——青年拔尖人才”，市科技成果一等奖1项，二等奖1项。中国机器人及人工智能机器人挑战赛国一1项，国二2项；全球校园人工智能算法精英大赛国二1项。研究方向：多智能体协同智能编队控制、无人集群协同规划与控制。在国际智能控制领域权威期刊IEEE汇刊《IEEE Transactions on Fuzzy Systems》、《IEEE Transactions on Neural Networks and Learning Systems》及权威期刊《Journal of the Franklin Institute》、《IET Control Theory & Applications》等发表或录用（含在线）SCI检索论文16篇，其中以第一作者发表SCI检索论文5篇，IEEE汇刊4篇，通讯作者发表SCI检索论文2篇。现为中国自动化学会会员，中国人工智能学会会员，中国自动化学会青年工作委员会委员，IEEE Member。
Email: lanjiecz@163.com
代表性论文：
1. Jie Lan, Yan-Jun Liu*, Lei Liu, and Shaocheng Tong, “Adaptive output feedback tracking control for a class of nonlinear time-varying state constrained systems with fuzzy dead-zone input,” IEEE Transactions on Fuzzy Systems, vol. 29, no. 7, pp. 1841-1852, Jul. 2021.
2. Jie Lan, Yan-Jun Liu*, Tongyu Xu, Shaocheng Tong, and Lei Liu, “Adaptive fuzzy fast finite-time formation control for second-order MASs based on capability boundaries of agents,” IEEE Transactions on Fuzzy Systems, vol. 30, no. 9, pp. 3905-3917, Sep. 2022.
3. Jie Lan, Yan-Jun Liu*, Dengxiu Yu, Guoxing Wen, Shaocheng Tong, and Lei Liu, “Time-varying optimal formation control for second-order multi-agent systems based on neural network observer and reinforcement learning,” IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2022.3158085, 2022.
4. Jie Lan, Tongyu Xu*, “Adaptive fuzzy consensus tracking control for nonlinear multiagent systems with time-varying delays and constraints,” Complexity, vol. 2021, Article ID 9940257, pp. 1-13, Jun. 2021.
5. Jie Lan, Tongyu Xu*, “Adaptive Finite-time Fault-Tolerant Control for half Vehicle Active Suspension Systems with Output Constraints and Random Actuator Failures,” Complexity, vol. 2021, Article ID 5964034, pp. 1-16, Jul. 2021.
6. Jie Lan, Hao Wang, Yan-Jun Liu*, Shaocheng Tong, “Adaptive Fuzzy Resilient Bipartite Formation Control for Nonlinear Second-order MASs Against Unbounded FDI attacks,” IEEE Transactions on Artificial Intelligence.
