Intrinsic dynamics induce global symmetry in network controllability

被引:47
|
作者
Zhao, Chen [1 ]
Wang, Wen-Xu [1 ]
Liu, Yang-Yu [2 ,3 ,4 ]
Slotine, Jean-Jacques [5 ,6 ,7 ]
机构
[1] Beijing Normal Univ, Sch Syst Sci, Beijing 10085, Peoples R China
[2] Harvard Univ, Brigham & Womens Hosp, Channing Div Network Med, Sch Med, Boston, MA 02115 USA
[3] Northeastern Univ, Ctr Complex Network Res, Boston, MA 02115 USA
[4] Northeastern Univ, Dept Phys, Boston, MA 02115 USA
[5] MIT, Nonlinear Syst Lab, Cambridge, MA 02139 USA
[6] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[7] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
来源
SCIENTIFIC REPORTS | 2015年 / 5卷
关键词
LINEAR STRUCTURED SYSTEMS; GENERIC PROPERTIES; COMPLEX; OBSERVABILITY; EMERGENCE;
D O I
10.1038/srep08422
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Controlling complex networked systems to desired states is a key research goal in contemporary science. Despite recent advances in studying the impact of network topology on controllability, a comprehensive understanding of the synergistic effect of network topology and individual dynamics on controllability is still lacking. Here we offer a theoretical study with particular interest in the diversity of dynamic units characterized by different types of individual dynamics. Interestingly, we find a global symmetry accounting for the invariance of controllability with respect to exchanging the densities of any two different types of dynamic units, irrespective of the network topology. The highest controllability arises at the global symmetry point, at which different types of dynamic units are of the same density. The lowest controllability occurs when all self-loops are either completely absent or present with identical weights. These findings further improve our understanding of network controllability and have implications for devising the optimal control of complex networked systems in a wide range of fields.
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页数:5
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