Emergence of mono-cluster flocking in the thermomechanical Cucker-Smale model under switching topologies

被引:6
作者
Dong, Jiu-Gang [1 ]
Ha, Seung-Yeal [2 ,3 ,4 ]
Kim, Doheon [5 ]
机构
[1] Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China
[2] Seoul Natl Univ, Dept Math Sci, Seoul 08826, South Korea
[3] Seoul Natl Univ, Res Inst Math, Seoul 08826, South Korea
[4] Korea Inst Adv Study, Hoegiro 85, Seoul 02455, South Korea
[5] Korea Inst Adv Study, Sch Math, Hoegiro 85, Seoul 02455, South Korea
基金
新加坡国家研究基金会;
关键词
Cucker-Smale model; emergence; flocking; switching topology; thermodynamic Cucker-Smale model; MULTIAGENT SYSTEMS; DYNAMICS; CONSENSUS; LEADERSHIP; STABILITY; ENSEMBLE; BEHAVIOR;
D O I
10.1142/S0219530520500025
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study the emergent dynamics of the thermomechanical Cucker-Smale (TCS) model with switching network topologies. The TCS model is a generalized CS model with extra internal dynamical variable called "temperature" in which isothermal case exactly coincides with the CS model for flocking. In previous studies, emergent dynamics of the TCS model has been mostly restricted to some static network topologies such as complete graph, connected graph with positive in and out degrees at each node, and digraphs with spanning trees. In this paper, we consider switching network topologies with a spanning tree in a sequence of time-blocks, and present two sufficient frameworks leading to the asymptotic mono-cluster flocking in terms of initial data and system parameters. In the first framework in which the sizes of time-blocks are uniformly bounded by some positive constant, we show that temperature and velocity diameters tend to zero exponentially fast, and spatial diameter is uniformly bounded. In the second framework, we admit a situation in which the sizes of time-blocks may grow mildly by a logarithmic function. In latter framework, our temperature and velocity diameters tend to zero at least algebraically slow.
引用
收藏
页码:305 / 342
页数:38
相关论文
共 37 条
[1]   Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives [J].
Albi, G. ;
Bellomo, N. ;
Fermo, L. ;
Ha, S. -Y. ;
Kim, J. ;
Pareschi, L. ;
Poyato, D. ;
Soler, J. .
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2019, 29 (10) :1901-2005
[2]   Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study [J].
Ballerini, M. ;
Calbibbo, N. ;
Candeleir, R. ;
Cavagna, A. ;
Cisbani, E. ;
Giardina, I. ;
Lecomte, V. ;
Orlandi, A. ;
Parisi, G. ;
Procaccini, A. ;
Viale, M. ;
Zdravkovic, V. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (04) :1232-1237
[3]   A quest toward a mathematical theory of the dynamics of swarms [J].
Bellomo, Nicola ;
Ha, Seung-Yeal .
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2017, 27 (04) :745-770
[4]   STOCHASTIC MEAN-FIELD LIMIT: NON-LIPSCHITZ FORCES AND SWARMING [J].
Bolley, Francois ;
Canizo, Jose A. ;
Carrillo, Jose A. .
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2011, 21 (11) :2179-2210
[5]  
Bromwich TJI, 1908, INTRO THEORY INFINIT
[6]   A WELL-POSEDNESS THEORY IN MEASURES FOR SOME KINETIC MODELS OF COLLECTIVE MOTION [J].
Canizo, J. A. ;
Carrillo, J. A. ;
Rosado, J. .
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2011, 21 (03) :515-539
[7]   Reaching a consensus in a dynamically changing environment: A graphical approach [J].
Cao, Ming ;
Morse, A. Stephen ;
Anderson, Brian D. O. .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2008, 47 (02) :575-600
[8]   ASYMPTOTIC FLOCKING DYNAMICS FOR THE KINETIC CUCKER-SMALE MODEL [J].
Carrillo, J. A. ;
Fornasier, M. ;
Rosado, J. ;
Toscani, G. .
SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2010, 42 (01) :218-236
[9]   DOUBLE MILLING IN SELF-PROPELLED SWARMS FROM KINETIC THEORY [J].
Carrillo, J. A. ;
D'Orsogna, M. R. ;
Panferov, V. .
KINETIC AND RELATED MODELS, 2009, 2 (02) :363-378
[10]   Intermittence and connectivity of interactions in pigeon flock flights [J].
Chen, Duxin ;
Liu, Xiaolu ;
Xu, Bowen ;
Zhang, Hai-Tao .
SCIENTIFIC REPORTS, 2017, 7