李大鹏，博士，副教授，研究生导师，2024年毕业于北京工业大学，获得工学博士学位。研究方向为智能自适应控制及其在实际系统中的应用。主持国家自然科学基金2项（面上项目1项和青年科学基金1项）。发表SCI检索论文30余篇，其中以第一作者或通讯作者在国际控制领域顶级期刊《Automatica》和《IEEE Transactions on Automatic Control》以及国际智能控制领域《IEEE Transactions on Cybernetics》、《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Transactions on Fuzzy Systems》、《IEEE Transactions on Neural Networks and Learning Systems》、《IEEE Transactions on Systems, Man, and Cybernetics》等上发表和录用中科院一区论文16篇，授权国家发明专利3项。所发表的学术论文谷歌学术引用2100余次，其中第一作者论文单篇最高引用330次。
获辽宁省自然科学成果奖二等奖1项，锦州市自然科学成果奖一等奖1项，《IEEE/CAA Journal of Automatica Sinica》期刊钱学森论文奖，博士研究生国家奖学金；北京工业大学博士创新奖学金、优秀毕业生、百佳毕业生、优秀研究奖、科技创新奖特等奖；博士毕业论文被评为北京工业大学“优秀博士学位论文”。
担任中国仿真学会智能调度与优化专委会委员，30余个国际顶级期刊审稿人。
Email: li_dapengsir@163.com
代表性论文：
1. Dapeng Li, Honggui Han, and Junfei Qiao*, “Composite boundary structure-based tracking control for nonlinear state-dependent constrained systems,”IEEE Transactions on Automatic Control, 2024, DOI: 10.1109/TAC.2024.3372888.
2. Dapeng Li, Honggui Han, and Junfei Qiao*, “Double-layer constraint structure-based adaptive neural tracking control for nonlinear strict-feedback systems,”IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, DOI: 10.1109/TSMC.2024.3375078.
3. Dapeng Li, Honggui Han, and Junfei Qiao*, “Fuzzy-approximation adaptive fault tolerant control for nonlinear constraint systems with actuator and sensor faults,” IEEE Transactions on Fuzzy Systems,2024, DOI: 10.1109/TFUZZ.2024.3355695.
4. Dapeng Li, Honggui Han, and Junfei Qiao*, “Adaptive NN controller of nonlinear state-dependent constrained systems with unknown control direction,”IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp. 913-922, Jan. 2024.
5. Dapeng Li, Honggui Han, and Junfei Qiao*, “Deterministic learning-based adaptive neural control for nonlinear full-state constrained systems,”IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 8, pp. 5002-5011, Aug. 2023.
6. Dapeng Li, Honggui Han, and Junfei Qiao*, “Observer-based adaptive fuzzy control for nonlinear state-constrained systems without involving feasibility conditions,”IEEE Transactions on Cybernetics, vol. 52, no. 11, pp. 11724-11733, Nov. 2022.
7. Dapeng Li, Lei Liu, Yan-Jun Liu*, Shaocheng Tong, and C. L. Philip Chen, “Fuzzy approximation-based adaptive control of nonlinear uncertain state constrained systems with time-varying delays,” IEEE Transactions on Fuzzy Systems, vol. 28, no. 8, pp. 1620-1630, Aug. 2020.
8. Dapeng Li, Lei Liu, Yan-Jun Liu*, Shaocheng Tong, and C. L. Philip Chen, “Adaptive NN control without feasibility conditions for nonlinear state constrained stochastic systems with unknown time delays,” IEEE Transactions on Cybernetics, vol. 49, no. 12, pp. 4485-4494, Dec. 2019.
9. Dapeng Li, C. L. Philip Chen, Yan-Jun Liu*, and Shaocheng Tong, “Neural network controller design for a class of nonlinear delayed systems with time-varying full-state constraints,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 9, pp. 2625-2636, Sep. 2019.
10. Dapeng Li, Yan-Jun Liu*, Shaocheng Tong, C. L. Philip Chen, Dong-Juan Li, “Neural networks-based adaptive control for nonlinear state constrained systems with input delay,” IEEE Transactions on Cybernetics, vol. 49, no. 4, pp. 1249-1258, Apr. 2019.