n 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

n 主要工作经历

2010.07-2011.01，9728太阳集团计算机与信息工程学院，讲师

2011.02-2012.09，9728太阳集团理学院，讲师

2012.10-2019.11，9728太阳集团理学院，副教授

2019.12-至今，9728太阳集团数学与统计学院，教授

2021.01-2021.12，贵州理工学院校长助理（挂职）

2022.04-至今，9728太阳集团，院长、教授

n 主要研究方向

分布式优化与控制、随机系统理论、群体智能决策、消费大数据

n 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、数值优化方法

博士研究生：不确定性与随机分析、系统科学前沿

n 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

n 近五年主要学术论文（*通讯作者）：

[1] 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(SCI、Q4)

[2] 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 (SCI、Q2)

[3] 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)

[4] 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)

[5] 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)

[6] 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)

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

[8] 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)

[9] 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)

[10] 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)

[11] 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)

[12] 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)

[13] 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)

[14] 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)

[15] 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)

[16] 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)

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

[18] 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)

[19] 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)

[20] 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)

[21] 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)

[22] 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)

[23] 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)

[24] 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)

[25] 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)

[26] 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)

[27] 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)

[28] 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)

[29] 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)

[30] 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)

[31] 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)

[32] 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)

[33] 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)

[34] 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)

[35] 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)

n 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.

n 社会兼职

中国人工智能学会智能服务专委会委员

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