教授 博士 博士生导师

通讯地址：北京市海淀区阜成路33号北京工商大学77779193永利(中国)有限公司应用统计系

邮编：100048

邮箱：molipo@th.btbu.edu.cn

微信：Sjz20121027

个人简介：

1980年11月出生于河北石家庄；

2003年7月毕业于石河子大学数学系数学与应用数学专业，获得理学学士学位；

2010年1月毕业于北京航空航天大学数学与系统科学学院，获得理学博士学位；

2010年7月至2012年9月，北京工商大学理学院数学系，讲师；

2012年10月2019年4月，北京工商大学理学院数学系，副教授；

2015年9月至2016年6月，访问北京交通大学理学院；

2019年4月至2019年8月访问爱尔兰科克大学(UCC)统计系；

2019年4月至12月，北京工商大学77779193永利(中国)有限公司，副教授；

2019年12月至今，北京工商大学77779193永利(中国)有限公司，教授；

2020年9月至2021年1月，访问中国科学院数学与系统科学研究院系统控制重点实验室；

2021年1月至2021年12月，挂职贵州理工学院校长助理

主要研究方向与兴趣：

分布式优化与机器学习、多智能体系统控制、旅游数据统计分析

研究生招生：

硕士：统计学（理学）、应用统计（专硕）

博士：系统科学、经济统计学

主讲课程：

本科：概率论；概率论与数理统计；线性代数

研究生：应用随机过程

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, 3.4万, 已结题，主持

7.国家自然科学基金青年科学基金项目， 61203150，信息传输不连续的多智能体系统的一致性分析与控制， 2013/01-2015/12， 23万，已结题，参加

8.北京自然科学基金面上项目， 4122019，一般动态的多智能体系统的一致性分析与控制，2012/01-2014/12， 24万，已结题，参加

英文期刊论文（*通讯作者）：

[1] 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 (SCI、Q1)

[2] 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 (SCI、Q1)

[3] 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 (SCI、Q1)

[4] Mo Lipo, Yuan Xiaolin, Yu Yongguang*, Containment control for multi-agent systems with fractional Brownian motion [J], Applied Mathematics and Computation, 2021, 398: 125814 (SCI、Q1)

[5] Liu Xiaodong, Mo Lipo*, Consensus problems on networks with free protocol[J], Chinese Physics B, 2021, 30(7)：070701(SCI、Q3)

[6] 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 (SCI、Q1)

[7] Mo Lipo*，Liu Xiaodong, Cao Xianbing, Yu Yongguang，Distributed second-order continuous-time optimization via adaptive algorithm with nonuniform gradient gains [J], Journal of System Science and Complexity, 2020, 33(6): 1914-1932 (SCI、Q4)

[8] 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(SCI、Q1)

[9] 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 (SCI、Q1)

[10] 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 (SCI、Q1)

[11] 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 (SCI、Q1)

[12] 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 (SCI、Q2)

[13] 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 (SCI、Q2)

[14] 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 (SCI、Q2)

[15] Mo Lipo*, Yuan Xiaolin, Yu Yongguang, Neuro-adaptive Leaderless Consensus of Fractional-order Multi-agent Systems[J], Neurocomputing, 2019, 339: 17-25 (SCI、Q1)

[16] 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(SCI、Q2)

[17] 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 (SCI、Q1)

[18] Mo Lipo*，Guo Shaoyan，Consensus of linear multi-agent systems with persistent disturbances via distributed output feedback [J], Journal of System Science and Complexity, 2019, 32(3): 835-845 (SCI、Q4)

[19] 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)

[20] Mo Lipo，Lin Peng*，Distributed consensus of second-order multi-agent systems with nonconvex input constraints[J],International Journal Robust and Nonlinear Control, 2018, 28：3657–3664. (SCI、Q1)

[21] Mo Lipo*，Guo Shaoyan，Yu Yongguang，Mean-square consensus of heterogeneous multi-agent systems with nonconvex constraints, Markovian switching topologies and delays[J], Neurocomputing, 2018, 291:167-174 (SCI、Q1)

[22] Guo Shaoyan，Mo Lipo*，Yu Yongguang，Mean-square consensus of heterogeneous multi-agent systems with communication noises，Journal of the Franklin Institute， 2018， 355：3717–3736 (SCI、Q1)

[23] Mo Lipo*，Yuan Xiaolin，Yu Yongguang，Target-encirclement control of fractional-order multi-agent systems with a leader [J], Physica A, 2018, 509:479-491 (SCI、Q2)

[24] Mo Lipo*，Yuan Xiaolin，Li Qin，Finite-time rotating target-encirclement motion of multi-agent systems with a leader [J], Chinese Journal of Physics，2018, 56: 2265-2274 (SCI、Q2)

[25] 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)

[26] Mo Lipo*, Niu Yuguang, Pan Tingting, Consensus of heterogeneous multi-agent systems with switching jointly-connected interconnection[J], Physica A, 2015，427: 132-140. (SCI、Q2)

[27] Mo Lipo*, Finite-time H-infinity inverse optimal control of affine nonlinear systems [J], Circuits, Systems, and Signal Processing, 2013, 32(1):47-60. (SCI、Q3)

[28] Mo Lipo*, Robust stabilization for multi-input polytopic nonlinear systems[J], Journal of System Science and Complexity, 2011, 24(1): 93 - 104. (SCI、Q4)

[29] Mo Lipo*，Jia Yingmin，H-infinity  consensus control of a class of high-order multi-agent systems[J], IET Control Theory and Application, 2011, 5(1): 247 - 253. (SCI、Q1)

[30] Mo Lipo*，Jia Yingmin, Zheng Zhiming, Finite-time disturbance attenuation of nonlinear systems[J], Science in China, F, 2009, 11: 2163 - 2171. (SCI、Q4)

中文期刊论文

[1] 莫立坡*，一类不确定非线性系统的鲁棒H无穷控制[J]，系统科学与数学，2011, 24: 93-104. (CSCD)

[2] 莫立坡*等，凸多面体非线性系统的逆次优控制[J]，数学的实践与认识，2012, 24(10): 99-106. (CSCD)

[3] 莫立坡*等， 带Leader的不确定高阶多智能体系统的L2—L无穷一致[J]，控制理论与应用，2012, 29(9): 1125 - 1131. (EI)

[4] 莫立坡*，二阶离散多智能体系统的鲁棒最优一致[J]，系统科学与数学，2014, 34(7): 876-887. (CSCD)

[5] 莫立坡*，潘婷婷，Markov 切换拓扑下异构多智能体系统的均方一致性[J]，中国科学：信息科学，2016, 46(11): 1621-1632. (CSCD)

[6] 莫立坡，潘婷婷*，受外界干扰的离散多智能体系统的均方有界一致性[J]，控制理论与应用，2016,33（3）：361-367 （EI）

[7] 郭少岩，莫立坡*，尹升鹏，持续干扰下马尔科夫切换多智能体系统的均方一致性 [J]，系统科学与数学，2017, 36(6): 1427-1438. (CSCD)

[8] 莫立坡*，于永光，多智能体系统的有限时间旋转环绕控制[J], 自动化学报, 2017, 43(9):1665-1672 (EI)

[9] 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)

[10] 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)

[11] 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)

会议论文

[1] Mo Lipo, etc, Finite-time disturbance attenuation of a class of uncertain nonlinear systems[C], 2010, Proceedings of the 29th Chinese Control Conference. (EI)

[2] Mo Lipo, etc, Robust H-infinity synchronization of a class of uncertain nonlinear complex networks[C], 2010, Proceedings of the 29th Chinese Control Conference. (EI)

[3] Mo Lipo, etc, Finite-time H-infinity consensus of multi-agent systems with a leader[C], Applied Mechanics and Materials, 2013, 241:1608-1613. (EI)

[4] Pan Tingting, Mo Lipo, Consensus of a class of multi-agent systems with an active leader under markovian communication[C], 2014 International Conference on Mechatronics and Control. (EI)

[5] Guo Shaoyan, Mo Lipo, Consensus of linear multi-agent systems with persistent disturbances[C], 2016 Chinese Intelligent Systems Conference, pp.101-110. (EI)

[6] Yuan Xiaolin, Mo Lipo, LMI conditions for consensus of fractional-order multi-agent networks[C], 2017 Chinese Automation Congress, pp. 4468-4473. (EI)

[7] Guo Shaoyan, Mo Lipo, Antagonistic formations of multi-agent systems with addictive noises and multiplicative noises[C], 2017 Chinese Automation Congress, pp. 492-496. (EI)

[8] 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)

[9] 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)

[10] 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)

[11] 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)