Collective surrounding control in multi-agent networks

doi:10.1088/1674-1056/23/5/050201

中国物理B ›› 2014, Vol. 23 ›› Issue (5): 50201-050201.doi: 10.1088/1674-1056/23/5/050201

• GENERAL • 下一篇

Collective surrounding control in multi-agent networks

魏婷婷^{a b}, 陈小平^b

a State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
b School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 610054, China

收稿日期:2013-06-09 修回日期:2013-10-21 出版日期:2014-05-15 发布日期:2014-05-15
基金资助:
Project supported by the National Natural Science Foundation of China (Grant No. 61203080), the Foundation of State Key Laboratory of Networking and Switching Technology Foundation, China (Grant No. SKLNST2011105), and the Fundamental Research Funds for the Central Universities, China (Grant Nos. ZYGX2010J113 and ZYGX2010J114).

Collective surrounding control in multi-agent networks

Wei Ting-Ting (魏婷婷)^{a b}, Chen Xiao-Ping (陈小平)^b

a State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;
b School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 610054, China

Received:2013-06-09 Revised:2013-10-21 Online:2014-05-15 Published:2014-05-15
Contact: Wei Ting-Ting E-mail:weiwtt@163.com
About author:02.10.Yn; 05.65.+b; 87.10.-e
Supported by:
Project supported by the National Natural Science Foundation of China (Grant No. 61203080), the Foundation of State Key Laboratory of Networking and Switching Technology Foundation, China (Grant No. SKLNST2011105), and the Fundamental Research Funds for the Central Universities, China (Grant Nos. ZYGX2010J113 and ZYGX2010J114).

摘要/Abstract

摘要： We study the collective encirclement control problem of a multi-agent system in this paper, where the agents move collectively to encircle the multiple targets. An algorithm is proposed and a sufficient condition is derived to realize the collective encirclement motion. Some simulation results are provided to show the effectiveness of the obtained theoretical results.

关键词: surrounding motion, networks, multiple targets

Abstract: We study the collective encirclement control problem of a multi-agent system in this paper, where the agents move collectively to encircle the multiple targets. An algorithm is proposed and a sufficient condition is derived to realize the collective encirclement motion. Some simulation results are provided to show the effectiveness of the obtained theoretical results.

Key words: surrounding motion, networks, multiple targets

中图分类号: (Matrix theory)

02.10.Yn

05.65.+b (Self-organized systems) 87.10.-e (General theory and mathematical aspects)

魏婷婷, 陈小平. Collective surrounding control in multi-agent networks[J]. 中国物理B, 2014, 23(5): 50201-050201.

Wei Ting-Ting (魏婷婷), Chen Xiao-Ping (陈小平). Collective surrounding control in multi-agent networks[J]. Chin. Phys. B, 2014, 23(5): 50201-050201.

参考文献 19

[1]	Lin P, Jia Y and Li L 2008 Systems and Control Letters 643 653
[2]	Lin P and Jia Y 2008 Physica A 387 303
[3]	Choi J, Oh S and Horowitz R 2009 Automatica 2802 2814
[4]	Hong Y, Gao L, Cheng D and Hu J 2007 IEEE Trans. on Automatic Control 943 948
[5]	Hong Y, Chen G and Bushnell L 2008 Automatica 846 850
[6]	Guan Z, Wu Y and Feng G 2012 IEEE Trans. on Circuits and Systems 170 178
[7]	Liu Z, Guan Z and Shen X 2012 IEEE Trans. on Automatica Control 2639 2643
[8]	Guan Z, Liu Z and Feng G 2012 Automatica 1397 1404
[9]	Lin P and Jia Y 2009 Automatica 45 2154
[10]	Lin P and Jia Y 2010 IEEE Trans. Automatic Control 55 778
[11]	Lin P and Jia Y 2011 Automatica 47 848
[12]	Zhang W, Liu J, Zeng D and Hu Y 2013 Chin. Phys. B 22 050511
[13]	Marasco A J, Givigi S N and Rabbath C A 2012 American Control Conference 2004 2009
[14]	Chen F, Ren W and Cao Y 2010 Systems and Control Letters 704 712
[15]	Hu J and Yuan H 2009 Chin. Phys. B 18 3777
[16]	Guan X and Li Y 2009 Chin. Phys. B 18 3355
[17]	Pei W, Chen Z and Yuan Z 2008 Chin. Phys. B 17 337
[18]	Lin P and Jia Y 2008 Physica A 387 303
[19]	Godsil C and Royle G 2001 Algebraic Graph Theory (New York: Springer-Verlag)

Collective surrounding control in multi-agent networks

Collective surrounding control in multi-agent networks

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献 19

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	Hao Yin(殷浩), Zhiguo Liu(刘治国), and Juekuan Yang(杨决宽). Modeling of thermal conductivity for disordered carbon nanotube networks[J]. 中国物理B, 2023, 32(4): 44401-044401.
[2]	Keyi Peng(彭珂依), Jing Yue(岳靖), Wen Zhang(张文), and Jian Li(李剑). Meshfree-based physics-informed neural networks for the unsteady Oseen equations[J]. 中国物理B, 2023, 32(4): 40208-040208.
[3]	Jie Zhou(周洁), Cheng Yuan(袁诚), Zu-Yu Qian(钱祖燏), Bing-Hong Wang(汪秉宏), and Sen Nie(聂森). Analysis of cut vertex in the control of complex networks[J]. 中国物理B, 2023, 32(2): 28902-028902.
[4]	Pengli Lu(卢鹏丽) and Wei Chen(陈玮). Vertex centrality of complex networks based on joint nonnegative matrix factorization and graph embedding[J]. 中国物理B, 2023, 32(1): 18903-018903.
[5]	Jian Zhang(张健), Yiming Liu(刘一鸣), and Zhanchun Tu(涂展春). Exploring fundamental laws of classical mechanics via predicting the orbits of planets based on neural networks[J]. 中国物理B, 2022, 31(9): 94502-094502.
[6]	Lei Tao(陶蕾) and Sheng-Jun Wang(王圣军). Power-law statistics of synchronous transition in inhibitory neuronal networks[J]. 中国物理B, 2022, 31(8): 80505-080505.
[7]	Yijun Ran(冉义军), Tianyu Liu(刘天宇), Tao Jia(贾韬), and Xiao-Ke Xu(许小可). A novel similarity measure for mining missing links in long-path networks[J]. 中国物理B, 2022, 31(6): 68902-068902.
[8]	Fang Zhou(周方), Chang Su(苏畅), Shuqi Xu(徐舒琪), and Linyuan Lü(吕琳媛). Influence fast or later: Two types of influencers in social networks[J]. 中国物理B, 2022, 31(6): 68901-068901.
[9]	Ai-Xia Feng(冯爱霞), Qi-Guang Wang(王启光), Shi-Xuan Zhang(张世轩), Takeshi Enomoto(榎本刚), Zhi-Qiang Gong(龚志强), Ying-Ying Hu(胡莹莹), and Guo-Lin Feng(封国林). Characteristics of vapor based on complex networks in China[J]. 中国物理B, 2022, 31(4): 49201-049201.
[10]	Xiang Ling(凌翔), Bo Hua(华博), Ning Guo(郭宁), Kong-Jin Zhu(朱孔金), Jia-Jia Chen(陈佳佳), Chao-Yun Wu(吴超云), and Qing-Yi Hao(郝庆一). Synchronization in multilayer networks through different coupling mechanisms[J]. 中国物理B, 2022, 31(4): 48901-048901.
[11]	Yahan Deng(邓雅瀚), Zhongkai Mo(莫中凯), and Hongqian Lu(陆宏谦). Robust H_∞ state estimation for a class of complex networks with dynamic event-triggered scheme against hybrid attacks[J]. 中国物理B, 2022, 31(2): 20503-020503.
[12]	Atiyeh Bayani, Sajad Jafari, and Hamed Azarnoush. Explosive synchronization: From synthetic to real-world networks[J]. 中国物理B, 2022, 31(2): 20504-020504.
[13]	Hao Luo(罗浩), Yi-Jun Wang(王一军), Wei Ye(叶炜), Hai Zhong(钟海), Yi-Yu Mao(毛宜钰), and Ying Guo(郭迎). Parameter estimation of continuous variable quantum key distribution system via artificial neural networks[J]. 中国物理B, 2022, 31(2): 20306-020306.
[14]	Hai-Zhu Pan(潘海珠), Mo-Qi Liu(刘沫岐), Hai-Miao Ge(葛海淼), and Qi Yuan(袁琪). Learnable three-dimensional Gabor convolutional network with global affinity attention for hyperspectral image classification[J]. 中国物理B, 2022, 31(12): 120701-120701.
[15]	Guan Wang(王冠), Zhixia Ding(丁芝侠), Sai Li(李赛), Le Yang(杨乐), and Rui Jiao(焦睿). Finite-time Mittag—Leffler synchronization of fractional-order complex-valued memristive neural networks with time delay[J]. 中国物理B, 2022, 31(10): 100201-100201.