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Chin. Phys. B, 2018, Vol. 27(10): 108901    DOI: 10.1088/1674-1056/27/10/108901
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Controllability of heterogeneous interdependent group systems under undirected and directed topology

Hui-Qin Pei(裴惠琴), Shi-Ming Chen(陈世明)
School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
Abstract  

The controllability problem of heterogeneous interdependent group systems with undirected and directed topology is investigated in this paper. First, the interdependent model of the heterogeneous system is set up according to the difference of individual characteristics. An extended distributed protocol with the external sliding-mode control is designed, under which it is shown that a heterogeneous interdependent group system is controllable when the corresponding communication topology is controllable. Then, using the network eigenvalue method, the driving individuals are determined for a heterogeneous system with undirected topology. Under directed topology, the maximum match method is utilized to confirm the driving individuals. Some sufficient and necessary conditions are presented to assure that the heterogeneous interdependent group system is structurally controllable. Via theoretical analysis, the controllability of heterogeneous interdependent systems is related to the interdependent manner and the structure of the heterogeneous system. Numerical simulations are provided to demonstrate the effectiveness of the theoretical results.

Keywords:  controllability      heterogeneous group systems      interdependent model      sliding-mode control  
Received:  22 May 2018      Revised:  06 July 2018      Accepted manuscript online: 
PACS:  89.75.Fb (Structures and organization in complex systems)  
  89.75.Hc (Networks and genealogical trees)  
  89.70.Hj (Communication complexity)  
  89.75.Da (Systems obeying scaling laws)  
Fund: 

Project supported by the National Natural Science Foundation of China (Grant Nos. 61603137 and 11662002), the Innovation Team Project of Jiangxi Provincial Innovation Drive "5511" Advantaged Science and Technology (Grant No. 20165BCB19011), the Natural Science Foundation of Jiangxi Province, China (Grant Nos. 20171BAB212016 and 20171BAB202029), the Key Research and Development Project of the Technology Department of Jiangxi Province, China (Grant No. 20161BBE53008), and the Doctoral Scientific Research Foundation of East China Jiaotong University (Grant No. 2003418002).

Corresponding Authors:  Hui-Qin Pei     E-mail:  peihuiqinnx@126.com

Cite this article: 

Hui-Qin Pei(裴惠琴), Shi-Ming Chen(陈世明) Controllability of heterogeneous interdependent group systems under undirected and directed topology 2018 Chin. Phys. B 27 108901

[1] Robin C and Lacroix S 2016 Autonomous Robots 40 729
[2] La H M, Lim R and Sheng W 2015 IEEE Trans. Control Sys. Technol. 23 52
[3] Kantaros Y, Thanou M and Tzes A 2015 Automatica 53 195
[4] Pei H, Chen S and Lai Q 2016 Int. J. Sys. Sci. 47 3741
[5] Olfati-Saber R, Fax J A and Murray R M 2007 Proc. IEEE 95 215
[6] Ren W and Cao Y 2011 Distributed coordination of multi-agent networks:emergent problems, models, and issues (London:Springer-Verlag)
[7] Meng Z, Ren W and You Z 2010 Automatica 46 2092
[8] Wang X, Su H, Wang X and Chen G 2016 Perspectives in Science 7 133
[9] Su H, Li Z and Chen M Z 2017 Journal of the Franklin Institute 354 2994
[10] Lin C T 1974 IEEE Trans. Autom. Control 19 201
[11] Liu Y Y, Slotine J J and Barabási A L 2011 Nature 473 167
[12] Wang W X, Ni X, Lai Y C and Grebogi C 2012 Phys. Rev. E 85 026115
[13] Hou L, Lao S, Small M and Xiao Y 2015 Phys. Lett. A 379 1321
[14] Yuan Z, Zhao C, Di Z, Wang W X and Lai Y C 2013 Nat. Commun. 4 2447
[15] Yuan Z, Zhao C, Wang W X, Di Z and Lai Y C 2014 New J. Phys. 16 103036
[16] Tanner H G 2004 IEEE Conference on Decision and Control 3 2467
[17] Ji Z, Wang Z, Lin H and Wang Z 2009 Automatica 45 2857
[18] Wang L, Jiang F, Xie G and Ji Z 2009 Sci. China-Ser. F:Inform. Sci. 52 2074
[19] Parlangeli G and Notarstefano G 2012 IEEE Trans. Autom. Control 57 743
[20] Liu X, Lin H and Chen B M 2013 Int. J. Control 86 222
[21] Yazicioglu A Y, Abbas W and Egerstedt M 2016 IEEE Trans. Autom. Control 61 4125
[22] Ji Z, Lin H and Yu H 2015 IEEE Trans. Autom. Control 60 781
[23] Liu B, Shi Y T, Su H S and Han X 2016 Commun. Theor. Phys. 65 585
[24] Zhao B, Guan Y and Wang L 2016 Int. J. Control 89 2008
[25] Guan Y, Ji Z, Zhang L and Wan L 2017 Int. J. Robust Nonlinear Control 27 4333
[26] Guan Y, Ji Z, Zhang L and Wang L 2016 Int. J. Control 89 1009
[27] Chen S, Zou X, Lü H and Xu Q G 2014 Acta Phys. Sin. 63 028902 (in Chinese)
[28] Chen S, Lü H, Xu Q G, Xu Y F and Lai Q 2015 Acta Phys. Sin. 64 048902 (in Chinese)
[29] Hautus M L J 1969 Indagationes Mathematicae (Proceedings) 72 443
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