A Macroscopic Model for a System of Swarming Agents Using Curvature Control
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[1] J. Lions,et al. Équations Différentielles Opérationnelles Et Problèmes Aux Limites , 1961 .
[2] C. Hemelrijk,et al. Self-Organized Shape and Frontal Density of Fish Schools , 2008 .
[3] Pierre Degond,et al. Continuum limit of self-driven particles with orientation interaction , 2007, 0710.0293.
[4] Steven V. Viscido,et al. Self-Organized Fish Schools: An Examination of Emergent Properties , 2002, The Biological Bulletin.
[5] S. Meyn,et al. Stability of Markovian processes III: Foster–Lyapunov criteria for continuous-time processes , 1993, Advances in Applied Probability.
[6] A. Bertozzi,et al. State Transitions and the Continuum Limit for a 2D Interacting, Self-Propelled Particle System , 2006, nlin/0606031.
[7] Guy Theraulaz,et al. Self-Organization in Biological Systems , 2001, Princeton studies in complexity.
[8] Sébastien Motsch,et al. Numerical Simulations of a Nonconservative Hyperbolic System with Geometric Constraints Describing Swarming Behavior , 2009, Multiscale Model. Simul..
[9] Jos'e A. Carrillo,et al. A well-posedness theory in measures for some kinetic models of collective motion , 2009, 0907.3901.
[10] Djalil CHAFAÏ,et al. Asymptotic analysis and diffusion limit of the Persistent Turning Walker Model , 2008, Asymptot. Anal..
[11] A. Sznitman. Topics in propagation of chaos , 1991 .
[12] L. Gross. Logarithmic Sobolev inequalities and contractivity properties of semigroups , 1993 .
[13] P. Degond,et al. Large Scale Dynamics of the Persistent Turning Walker Model of Fish Behavior , 2007, 0710.4996.
[14] G. Parisi,et al. Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study , 2007, Proceedings of the National Academy of Sciences.
[15] H. Chaté,et al. Modeling collective motion: variations on the Vicsek model , 2008 .
[16] Julia K. Parrish,et al. Factors influencing the structure and maintenance of fish schools , 2007 .
[17] I D Couzin,et al. Self-organized lane formation and optimized traffic flow in army ants , 2003, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[18] B. Øksendal. Stochastic differential equations : an introduction with applications , 1987 .
[19] Tamás Vicsek,et al. Turning with the Others: Novel Transitions in an SPP Model with Coupling of Accelerations , 2008, 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems.
[20] P. Degond. Macroscopic limits of the Boltzmann equation: a review , 2004 .
[21] George N. Reeke,et al. BOOK REVIEW: "SELF-ORGANIZATION IN BIOLOGICAL SYSTEMS" BY S. CAMAZINE, J. DENEUBOURG, N. R. FRANKS, J. SNEYD, G. THERAULAZ AND E. BONABEAU , 2002 .
[22] C. Cercignani. The Boltzmann equation and its applications , 1988 .
[23] I. Couzin,et al. Self-Organization and Collective Behavior in Vertebrates , 2003 .
[24] Seung-Yeal Ha,et al. A simple proof of the Cucker-Smale flocking dynamics and mean-field limit , 2009 .
[25] E. Tadmor,et al. From particle to kinetic and hydrodynamic descriptions of flocking , 2008, 0806.2182.
[26] R. Hinde,et al. Advances in the study of behavior , 1966 .
[27] G. Theraulaz,et al. Analyzing fish movement as a persistent turning walker , 2009, Journal of mathematical biology.
[28] I. Couzin,et al. Collective memory and spatial sorting in animal groups. , 2002, Journal of theoretical biology.
[29] Jesús Rosado,et al. Asymptotic Flocking Dynamics for the Kinetic Cucker-Smale Model , 2010, SIAM J. Math. Anal..
[30] Felipe Cucker,et al. Emergent Behavior in Flocks , 2007, IEEE Transactions on Automatic Control.
[31] H. Spohn. Large Scale Dynamics of Interacting Particles , 1991 .
[32] Janet Efstathiou,et al. Modeling Complex Living Systems: A Kinetic Theory and Stochastic Game Approach , 2013, J. Oper. Res. Soc..
[33] H. Brezis. Analyse fonctionnelle : théorie et applications , 1983 .
[34] J. Deneubourg,et al. Modulation of individual behavior and collective decision-making during aggregation site selection by the ant Messor barbarus , 2004, Behavioral Ecology and Sociobiology.
[35] T. Vicsek,et al. Collective behavior of interacting self-propelled particles , 2000, cond-mat/0611742.
[36] École d'été de probabilités de Saint-Flour,et al. Ecole d'été de probabilités de Saint-Flour XIX, 1989 , 1991 .
[37] Lorenzo Pareschi,et al. Modeling and Computational Methods for Kinetic Equations , 2012 .
[38] Pierre Degond,et al. Congestion in a Macroscopic Model of Self-driven Particles Modeling Gregariousness , 2009, 0908.1817.
[39] B. Perthame,et al. Derivation of hyperbolic models for chemosensitive movement , 2005, Journal of mathematical biology.
[40] T. Vicsek,et al. New aspects of the continuous phase transition in the scalar noise model (SNM) of collective motion , 2006, nlin/0611031.
[41] Nicola Bellomo,et al. Modeling Complex Living Systems: A Kinetic Theory and Stochastic Game Approach , 2007 .
[42] Jos'e Antonio Carrillo,et al. Stochastic Mean-Field Limit: Non-Lipschitz Forces & Swarming , 2010, 1009.5166.
[43] E. Bonabeau,et al. Spatial patterns in ant colonies , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[44] Vicsek,et al. Novel type of phase transition in a system of self-driven particles. , 1995, Physical review letters.
[45] D. Bakry,et al. Rate of convergence for ergodic continuous Markov processes : Lyapunov versus Poincaré , 2007, math/0703355.
[46] F. Rühs,et al. J. L. Lions, Équations Différentielles Opérationnelles et Problèmes aux Limites. IX + 292 S. Berlin/Göttingen/Heidelberg 1961. Springer-Verlag. Preis geb. 64,— , 1962 .
[47] E. Bertin,et al. Boltzmann and hydrodynamic description for self-propelled particles. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.