数学与统计学院

莫立坡

教授、博士生导师

办公室:数统楼326(良乡主校区)/科教楼423(阜成路校区)

Emailmolipo@th.btbu.edu.cn


主要教育经历:

1999.09-2003.06,石河子大学数学系,理学学士

2004.09-2010.01,北京航空航天大学数学与系统科学学院,理学博士

2015.09-2016.06,北京交通大学理学院,访问学者

2019.04-2019.08,爱尔兰科克大学统计系,访问学者

2020.09-2021.01,中国科学院系统所系统控制国家重点实验室,访问学者


主要工作经历

2010.07-2011.01,北京工商大学计算机与信息工程学院,讲师

2011.02-2012.09,北京工商大学理学院,讲师

2012.10-2019.11,北京工商大学理学院,副教授

2019.12-至今,北京工商大学数学与统计学院,教授

2021.01-2021.12,贵州理工学院校长助理(挂职)

2022.04-至今,北京工商大学电商与物流学院,院长、教授


主要研究方向

系统分析与集成、系统工程与优化决策、分布式系统与控制、大数据与应用统计

主讲课程

本科生:概率论、概率统计、运筹学

硕士研究生:应用随机过程、优化方法

博士研究生:不确定性与随机分析、系统科学前沿


主要科研项目:

1.国家自然科学基金面上项目,61973329,随机分数阶多智能体网络的协同控制与优化,69.16万,2020/01-2023/12,主持,在研

2.北京市自然科学基金重点研究专题,Z180005,复杂网络协同性的优化理论与高效算法研究,200万,2019/01-2022/12, 子课题负责人,在研

3.北京市教委一般项目,KM201910011007,多智能体系统的分布式优化及应用研究, 2019/01-2020/12, 15万,已结题,主持

4.国家自然科学基金青年科学基金项目,61304155,随机多智能体系统的一致性及优化控制,2014/01-2016/12 24万, 已结题,主持

5.国家自然科学基金数学天元基金项目,11126210,多智能体系统的有限时间一致性研究,2012/01-2012/12, 3万,已结题,主持

6.北京市组织部优秀人才项目,随机因素对多智能体系统一致性的影响研究,2013/01-2014/12, 3.4, 已结题,主持

近五年主要学术论文(*通讯作者):

[1] Zhang Haozhe, Mo Lipo*, A Novel LMS Algorithm with Double Fractional Order [J], Circuits, Systems, and Signal Processing, 2023, 42: 1236-1260(SCIQ2)

[2] Hu Haokun, Mo Lipo*, Long Fei, Distributed second-order multi-agent constrained

optimization algorithm with time-varying cost function [J], Asian Journal of Control, 2023, 25:395-406 (SCIQ3)

[3] Mo Lipo*, Yu Yongguang, Ren Guojian, Yuan Xiaolin, Constrained consensus of continuous-time heterogeneous multi-agent networks with nonconvex constraints and delays[J], Journal of Systems Sciences and Complexity, 2022, 35: 105-202(SCIQ4)

[4] Yuan Xiaolin, Mo Lipo*, Yu Yongguang, Distributed containment control of fractional-order multi-agent systems using neural networks [J], Asian Journal of Control, 2022, 24:149-158 (SCIQ2)

[5] Mo Lipo*, Yu Yongguang, Zhao Lin, Cao Xianbing, Distributed continuous-time optimization of second-order multiagent systems with nonconvex input constraints [J], IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(10)6404-6413 (SCIQ1)

[6] Mo Lipo*, Zhang Zixin, Yu Yongguang, Distributed discrete-time optimization of heterogeneous multi-agent networks with unbounded position constraints and nonconvex velocity constraints [J], Neurocomputing, 2021, 466: 92-101 (SCIQ1)

[7] Mo Lipo*, Hu Haokun, Yu Yongguang, Ren Guojian, Distributed optimization without boundedness of gradients for second-order multi-agent systems over unbalanced network [J], Information Sciences, 2021, 565: 177-195 (SCIQ1)

[8] Mo Lipo, Yuan Xiaolin, Yu Yongguang*, Containment control for multi-agent systems with fractional Brownian motion [J], Applied Mathematics and Computation, 2021, 398: 125814 (SCIQ1)

[9] Liu Xiaodong, Mo Lipo*, Consensus problems on networks with free protocol[J], Chinese Physics B, 2021, 30(7)070701(SCIQ3)

[10] Yuan Xiaolin, Mo Lipo, Yu Yongguang*, Ren Guojian, Containment control of fractional discrete-time multi-agent systems with nonconvex constraints [J], Applied Mathematics and Computation, 2021, 409: 126378 (SCIQ1)

[11] Mo Lipo*Liu Xiaodong, Cao Xianbing, Yu YongguangDistributed second-order continuous-time optimization via adaptive algorithm with nonuniform gradient gains [J], Journal of System Science and Complexity, 2020, 33(6): 1914-1932 (SCIQ4)

[12] Mo Lipo*, Yu Yongguang, Constrained consensus over continuous-time multi-agent networks with state constraints,non-convex input constraints and time delays[J], IET Control Theory and Applications, 2020, 14(20)3731-3737(SCIQ1)

[13] Yi Huang, Mengmeng Duan, Mo Lipo*, Multiagent containment control with nonconvex states constraints, nonuniform time delays, and switching directed networks [J], IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(11)5021-5028 (SCIQ1)

[14] Mo Lipo*, Guo Shaoyan, Yu Yongguang, Mean-square H-infinity antagonistic formations of second-order multi-agent systems with multiplicative noises and external disturbances [J], ISA Transactions, 2020, 97:36-43 (SCIQ1)

[15] Mo Lipo*, Hu Haokun, Yu Yongguang, Distributed heterogeneous multi-agent networks optimization with nonconvex velocity constraints [J], Journal of Franklin Institute, 2020, 357:7139-7158 (SCIQ1)

[16] Yuan Xiaolin, Mo Lipo*, Yu Yongguang, Ren Guojian, Distributed containment control of fractional-order multi-agent systems with double-integrator and nonconvex control input constraints [J], International Journal of Control, Automation and Systems, 2020, 18(1):1728-1742 (SCIQ2)

[17] Mo Lipo*, Jiang Yixuan, Composite-rotating consensus of multi-agent systems with a leader and nonuniform delays [J], Asian Journal of Control, 2020, 22:1714-1720 (SCIQ2)

[18] Yuan Xiaolin, Mo Lipo*, Yu Yongguang, Observer-based quasi-containment of fractional-order multi-agent systems via event-triggered strategy [J], International Journal of Systems Science, 2019, 50(3): 517-533 (SCIQ2)

[18] Mo Lipo*, Yuan Xiaolin, Yu Yongguang, Neuro-adaptive Leaderless Consensus of Fractional-order Multi-agent Systems[J], Neurocomputing, 2019, 339: 17-25 (SCIQ1)

[19] Yuan Xiaolin, Mo Lipo*, Yu Yongguang, Agreement coordination of fractional-order multi-agent systems with reaction–diffusion and persistent disturbances [J], Physica A, 2019, 525: 680-693(SCIQ2)

[20] Mo Lipo*, Yuan Xiaolin, Yu Yongguang, Quasi-composite rotating formation control of second-order multi-agent systems [J], IET Control Theory & Applications, 2019, 13(10): 1571-1578 (SCIQ1)

[21] Mo Lipo*Guo ShaoyanConsensus of linear multi-agent systems with persistent disturbances via distributed output feedback [J], Journal of System Science and Complexity, 2019, 32(3): 835-845 (SCIQ4)

[22] Mo Lipo*, Guo Shaoyan, Yu Yongguang, Mean-square composite-rotating consensus of second-order systems with communication noises[J], Chinese Physics B, 2018, 27(7): 070504. (SCIQ3)

[23] Mo LipoLin Peng*Distributed consensus of second-order multi-agent systems with nonconvex input constraints[J],International Journal Robust and Nonlinear Control, 2018, 283657–3664. (SCIQ1)

[24] Mo Lipo*Guo ShaoyanYu YongguangMean-square consensus of heterogeneous multi-agent systems with nonconvex constraints, Markovian switching topologies and delays[J], Neurocomputing, 2018, 291:167-174 (SCIQ1)

[25] Guo ShaoyanMo Lipo*Yu YongguangMean-square consensus of heterogeneous multi-agent systems with communication noisesJournal of the Franklin Institute 2018 3553717–3736 (SCIQ1)

[26] Mo Lipo*Yuan XiaolinYu YongguangTarget-encirclement control of fractional-order multi-agent systems with a leader [J], Physica A, 2018, 509:479-491 (SCIQ2)

[27] Mo Lipo*Yuan XiaolinLi QinFinite-time rotating target-encirclement motion of multi-agent systems with a leader [J], Chinese Journal of Physics2018, 56: 2265-2274 (SCIQ2)

[28] Mo Lipo*, Guo Shaoyan, Yu Yongguang, Mean-square composite-rotating consensus of second-order systems with communication noises[J], Chinese Physics B, 2018, 27(7): 070504. (SCI, Q3)

[29] 李智超,莫立坡*,郭少岩,随机多智能体系统的有限时间多目标环绕控制[J], 控制理论与应用, 2018, 35(4): 523-530 (EI)

[30] 袁晓琳,莫立坡*,一类分数阶神经网络的自适应H无穷同步[J], 智能系统学报, 2019, 14(2): 239-245 (CSCD)

[31] 黄辉,莫立坡*,曹显兵,异构多智能体系统的非凸输入约束一致性[J], 应用数学学报, 2019, 42(5): 595-605 (CSCD)

[32] Mo Lipo, Jiang Yixuan, Liu Hong, Yang Xinyue, Ouyang Zhiyuan, Composite-rotating consensus of leaderless multi-agent systems with time-delay[C], Proceedings of 2018 Chinese Intelligent Systems Conference, pp. 443-452. (EI)

[33] Mo Lipo, Lin Peng, Distributed continuous-time optimization over second order multi-agent networks with nonuniform gains [C], 2019, The 31th Chinese Control and Decision Conference, pp. 35-38. (EI)

[34] Mo Lipo, Xu Zeyang, Yu Yongguang, Leader-following consensus of second-order networks with a moving leader and nonconvex input constraints [C], Proceedings of 2020 Chinese Intelligent Systems Conference, pp.57-68. (EI)

[35] Hu Haokun, Mo Lipo, Improved distributed optimization algorithm for continuous time multi-agent systems with time-varying cost function [C], Proceedings of 2021 40th Chinese Control Conference, pp.5131-5135. (EI)

[36] Zhang Haozhe, Mo Lipo, An improved LMS algorithm based on fractional order gradient direction [C], Proceedings of 2022 41th Chinese Control Conference, pp.3156-3161. (EI)

专著与教材:

[1] 曹显兵、莫立坡、梁新刚,概率论与数理统计[M].北京:中国人民大学出版社,2021.


社会兼职

中国人工智能学会空天智能专委会委员

北京应用统计学会理事



来源:数学与统计学院    发表日期:2019-10-11    阅读次数: