李大鵬，博士，副教授，研究生導(dǎo)師，2024年畢業(yè)于北京工業(yè)大學(xué)，獲得工學(xué)博士學(xué)位。研究方向?yàn)橹悄茏赃m應(yīng)控制及其在實(shí)際系統(tǒng)中的應(yīng)用。主持國(guó)家自然科學(xué)基金2項(xiàng)（面上項(xiàng)目1項(xiàng)和青年科學(xué)基金1項(xiàng)）。發(fā)表SCI檢索論文30余篇，其中以第一作者或通訊作者在國(guó)際控制領(lǐng)域頂級(jí)期刊《Automatica》和《IEEE Transactions on Automatic Control》以及國(guó)際智能控制領(lǐng)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》等上發(fā)表和錄用中科院一區(qū)論文16篇，授權(quán)國(guó)家發(fā)明專利3項(xiàng)。所發(fā)表的學(xué)術(shù)論文谷歌學(xué)術(shù)引用2100余次，其中第一作者論文單篇最高引用330次。
獲遼寧省自然科學(xué)成果獎(jiǎng)二等獎(jiǎng)1項(xiàng)，錦州市自然科學(xué)成果獎(jiǎng)一等獎(jiǎng)1項(xiàng)，《IEEE/CAA Journal of Automatica Sinica》期刊錢學(xué)森論文獎(jiǎng)，博士研究生國(guó)家獎(jiǎng)學(xué)金；北京工業(yè)大學(xué)博士創(chuàng)新獎(jiǎng)學(xué)金、優(yōu)秀畢業(yè)生、百佳畢業(yè)生、優(yōu)秀研究獎(jiǎng)、科技創(chuàng)新獎(jiǎng)特等獎(jiǎng)；博士畢業(yè)論文被評(píng)為北京工業(yè)大學(xué)“優(yōu)秀博士學(xué)位論文”。
擔(dān)任中國(guó)仿真學(xué)會(huì)智能調(diào)度與優(yōu)化專委會(huì)委員，30余個(gè)國(guó)際頂級(jí)期刊審稿人。
Email: li_dapengsir@163.com
代表性論文：
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.