Antagonistic formation motion of cooperative agents

doi:10.1088/1674-1056/24/2/020504

›› 2015, Vol. 24 ›› Issue (2): 20504-020504.doi: 10.1088/1674-1056/24/2/020504

Antagonistic formation motion of cooperative agents

卢婉婷, 代明香, 薛方正

School of Automation, Chongqing University, Chongqing 400044, China

收稿日期:2014-03-24 修回日期:2014-09-04 出版日期:2015-02-05 发布日期:2015-02-05
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 61203080 and 61473051) and the Natural Science Foundation of Chongqing City (Grant No. CSTC 2011BB0081).

Antagonistic formation motion of cooperative agents

Lu Wan-Ting (卢婉婷), Dai Ming-Xiang (代明香), Xue Fang-Zheng (薛方正)

School of Automation, Chongqing University, Chongqing 400044, China

Received:2014-03-24 Revised:2014-09-04 Online:2015-02-05 Published:2015-02-05
Contact: Xue Fang-Zheng E-mail:xuefangzheng@cqu.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 61203080 and 61473051) and the Natural Science Foundation of Chongqing City (Grant No. CSTC 2011BB0081).

摘要/Abstract

摘要： This paper investigates a new formation motion problem of a class of first-order multi-agent systems with antagonistic interactions. A distributed formation control algorithm is proposed for each agent to realize the antagonistic formation motion. A sufficient condition is derived to ensure that all of the agents make an antagonistic formation motion in a distributed manner. It is shown that all of the agents can be spontaneously divided into several groups and that agents in the same group collaborate while agents in different groups compete. Finally, a numerical simulation is included to demonstrate our theoretical results.

关键词: formation motion, first-order dynamics, antagonistic interactions

Abstract: This paper investigates a new formation motion problem of a class of first-order multi-agent systems with antagonistic interactions. A distributed formation control algorithm is proposed for each agent to realize the antagonistic formation motion. A sufficient condition is derived to ensure that all of the agents make an antagonistic formation motion in a distributed manner. It is shown that all of the agents can be spontaneously divided into several groups and that agents in the same group collaborate while agents in different groups compete. Finally, a numerical simulation is included to demonstrate our theoretical results.

Key words: formation motion, first-order dynamics, antagonistic interactions

中图分类号: (Self-organized systems)

05.65.+b

02.10.Yn (Matrix theory) 87.10.-e (General theory and mathematical aspects)

卢婉婷, 代明香, 薛方正. Antagonistic formation motion of cooperative agents[J]. , 2015, 24(2): 20504-020504.

Lu Wan-Ting (卢婉婷), Dai Ming-Xiang (代明香), Xue Fang-Zheng (薛方正). Antagonistic formation motion of cooperative agents[J]. Chin. Phys. B, 2015, 24(2): 20504-020504.

参考文献 28

[1]	Lin P, Qin K Y, Li Z K and Ren W 2011 Systems and Control Letters 60 365
[2]	Lin P, Jia Y M, Du J P and Yu S Y 2007 Proceedings of the 26th Chinese Control Conference, July 26-31, 2007, Hunan, China, p. 577
[3]	Lin P and Jia Y M 2010 IEEE Trans. Autom. Control 55 778
[4]	Tang Z J, Huang T Z, Shao J Z and Hu J P 2012 Neurocomputing 97 410
[5]	Lin P and Jia Y M 2011 Automatica 47 848
[6]	Wu Z H, Peng L, Xie L B and Wen J W 2013 Chin. Phys. B 22 128901
[7]	Li L and Fang H J 2013 Chin. Phys. B 22 110505
[8]	Zhang W G, Zeng D L and Guo Z K 2010 Chin. Phys. B 19 070518
[9]	Sun F L and Zhu W 2013 Chin. Phys. B 22 110204
[10]	Lin Z Q and Ye G X 2013 Chin. Phys. B 22 058201
[11]	Xue F Z, Hou Z C and Li X M 2013 Neurocomputing 122 324
[12]	Lin P and Jia Y M 2009 Automatica 45 2154
[13]	Lin P and Ren W 2014 IEEE Trans. Autom. Control 59 775
[14]	Lin P, Jia Y M and Li L 2008 Systems and Control Letters 57 643
[15]	Cullen J M, Shaw E and Baldwin H A 1965 Animal Behaviour 13 524
[16]	Couzin I D, Krause J, Franks N R and Levin S A 2005 Nature 433 513
[17]	Lin P and Jia Y M 2008 Physica A 387 303
[18]	Hu J P, Xiao Z H, Zhou Y L and Yu J Y 2013 Proceedings of the 32nd Chinese Control Conference, July 26-28, 2013, Xi'an, China, p. 6879
[19]	Pei W D, Chen Z Q and Yuan Z Z 2008 Chin. Phys. B 17 373
[20]	Hu J P and Yuan H W 2009 Chin. Phys. B 18 3777
[21]	Zhang W G, Liu J Z, Zeng D L and Hu Y 2013 Chin. Phys. B 22 050511
[22]	Li Y M and Guan X P 2009 Chin. Phys. B 18 3355
[23]	Lin P and Jia Y 2010 Systems and Control Letters 59 587
[24]	Li H, Bi L, Wang R, Li L J, Lin Z L and Zhang C X 2013 J. Lightw. Technol. 31 12
[25]	Altafini C 2013 IEEE Trans. Autom. Control 58 935
[26]	Li H, Cui L Y, Lin Z L, Li L J and Zhang C X 2014 J. Lightw. Technol. 32 5
[27]	Tian Y P and Liu C L 2008 IEEE Trans. Autom. Control 53 2122
[28]	Godsil C and Royle G 2001 Algebraic Graph Theory (New York: Springer-Verlag)

Antagonistic formation motion of cooperative agents

Antagonistic formation motion of cooperative agents

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献 28

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	Yong-Xing Li(李永行), Xiao-Xia Yang(杨晓霞), Meng Meng(孟梦), Xin Gu(顾欣), Ling-Peng Kong(孔令鹏). Pedestrian evacuation simulation in multi-exit case:An emotion and group dual-driven method[J]. 中国物理B, 2023, 32(4): 48901-048901.
[2]	Zheng-Yu Cai(蔡征宇), Ru Zhou(周汝), Yin-Kai Cui(崔银锴), Yan Wang(王妍), and Jun-Cheng Jiang(蒋军成). Simulation based on a modified social force model for sensitivity to emergency signs in subway station[J]. 中国物理B, 2023, 32(2): 20507-020507.
[3]	Zhi-Hai Wu(吴治海) and Lin-Bo Xie(谢林柏). Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure[J]. 中国物理B, 2022, 31(12): 128902-128902.
[4]	Yanjun Liu(刘彦君), Rui Wang(王瑞), Cai Zhao(赵偲), and Wen Zheng(郑文). Graph dynamical networks for forecasting collective behavior of active matter[J]. 中国物理B, 2022, 31(11): 116401-116401.
[5]	Pei-Feng Lin(林培锋), Xiao Hu(胡箫), and Jian-Zhong Lin(林建忠). Inertial focusing and rotating characteristics of elliptical and rectangular particle pairs in channel flow[J]. 中国物理B, 2022, 31(8): 80501-080501.
[6]	Yun-Yun Yang(杨云云), Biao Feng(冯彪), Liao Zhang(张辽), Shu-Hong Xue(薛舒红), Xin-Lin Xie(谢新林), and Jian-Rong Wang(王建荣). Robustness measurement of scale-free networks based on motif entropy[J]. 中国物理B, 2022, 31(8): 80201-080201.
[7]	Xiao-Xia Yang(杨晓霞), Hai-Long Jiang(蒋海龙), Yuan-Lei Kang(康元磊), Yi Yang(杨毅), Yong-Xing Li(李永行), and Chang Yu(蔚畅). Passenger management strategy and evacuation in subway station under Covid-19[J]. 中国物理B, 2022, 31(7): 78901-078901.
[8]	Xiao-Yu Shen(沈小宇), Shuai Su(宿帅), and Hai-Liang Hou(侯海良). Distributed optimization for discrete-time multiagent systems with nonconvex control input constraints and switching topologies[J]. 中国物理B, 2021, 30(12): 120507-120507.
[9]	Yunhe Tong(童蕴贺), Christopher King, and Yanghui Hu(胡杨慧). Using agent-based simulation to assess diseaseprevention measures during pandemics[J]. 中国物理B, 2021, 30(9): 98903-098903.
[10]	Lu Peng(彭璐) and Jun Tang(唐军). Unpinning the spiral waves by using parameter waves[J]. 中国物理B, 2021, 30(5): 58202-058202.
[11]	. [J]. 中国物理B, 2021, 30(1): 18902-.
[12]	秦大辉, 段云飞, 程栋, 苏铭著, 邵永波. An extended cellular automata model with modified floor field for evacuation[J]. 中国物理B, 2020, 29(9): 98901-098901.
[13]	胡辑伟, 高松, 严俊伟, 娄平, 尹勇. Manufacturing enterprise collaboration network: An empirical research and evolutionary model[J]. 中国物理B, 2020, 29(8): 88901-088901.
[14]	高庆飞, 陶亦舟, 韦艳芳, 吴成, 董力耘. Simulation-based optimization of inner layout of a theater considering the effect of pedestrians[J]. 中国物理B, 2020, 29(3): 34501-034501.
[15]	李斌全, 吴枝喜, 王圣军. Quasi-periodic events on structured earthquake models[J]. 中国物理B, 2019, 28(9): 90503-090503.