Flocking and asymptotic velocity of the Cucker–Smale model with processing delay

The processing delay is incorporated into the influence function of the well-known Cucker–Smale model for self-organized systems with multiple agents. Both symmetric and non-symmetric pairwise influence functions are considered, and a Lyapunov functional approach is developed to establish the existence of flocking solutions for the proposed delayed Cucker–Smale model. An analytic formula is given to calculate the asymptotic flocking velocity in terms of model parameters and the variation of the position during the initial time interval.     

受时滞影响的双个体自组织系统的集群性

研究了受Motsch-Tadmor影响函数控制和处理时间延迟影响的双个体Cucker-Smale自组织模型,将现有的充分性结果进行了推广,给出了双个体自组织系统产生集群行为的充分必要条件,同时也揭示了时滞的大小对系统集群性的影响.数值模拟验证了结果,并表明在固定初始条件和参数的情况下,时滞的变化会导致系统出现集群行为,集群行为消失,周期振荡等分支现象.     

基于蜂拥控制算法思想的时空混沌耦合反馈控制

研究了由一维非线性漂移波方程描述的时空混沌的控制问题.基于蜂拥控制算法思想,提出了一种耦合反馈控制方法.数值研究表明：不论选择真实领导者还是选择虚拟领导者为控制的目标态,只要适当选择控制强度,漂移波时空混沌都能被控制到有序的态.并且根据空间电势的关联阐述了控制机理. 关键词： 时空混沌 漂移波 蜂拥算法 相关系数     

Flocking of Multi-particle Swarm with Group Coupling Structure and Measurement Delay

We investigate the flocking conditions of a group coupling system with time delays, in which the communication between particles includes inter-group and intra-group interactions, and the time delay comes from the theory of moving object observation. As an effective model, we introduce a system of nonlinear functional differential equations to describe its dynamic evolution mechanism. By constructing two differential inequalities on velocity and velocity fluctuation from a continuity argument, and using the Lyapunov functional approach, we present some sufficient conditions for the existence of asymptotic flocking solutions to the coupling system, in which an upper bound of the delay allowed by the system is quantitatively given to ensure the emergence of flocking behavior. All results are novel and can be illustrated by using some specific numerical simulations.     

Emergence of time-asymptotic flocking for a general Cucker–Smale-type model with distributed time delays

In this paper, we analyze the asymptotic flocking behavior for a Cucker–Smale-type model with a disturbed delayed coupling, where delays are information processing and reactions of individuals. By constructing a new energy functional combined with L²-analysis, we obtain the uniform bound of particle velocities, and then by establishing a system of dissipative differential inequalities together with L^∞-analysis, we prove the existence of asymptotic flocking solutions when the maximum value of time delays is sufficiently small.     

On the mathematics of emergence

We describe a setting where convergence to consensus in a population of autonomous agents can be formally addressed and prove some general results establishing conditions under which such convergence occurs. Both continuous and discrete time are considered and a number of particular examples, notably the way in which a population of animals move together, are considered as particular instances of our setting. This article is based on the 1st Takagi Lectures that the second author delivered at Research Institute for Mathematical Sciences, Kyoto University on November 25 and 26, 2006. Steve Smale Partially supported by an NSF grant.     

复杂动态网络控制研究进展

研究复杂网络结构性质与模型的主要目的之一就是为了了解网络结构与网络功能之间的关系,并在此基础上考虑改善网络性能的有效途径.综述了近年关于利用分布式控制的方法使得一个动态网络具有期望行为的一些研究进展.对于具有固定和连通的拓扑结构的复杂动态网络,牵制控制策略的有效性与网络拓扑密切相关.综述了牵制控制的可行性、稳定性分析以及控制策略比较研究. 另一方面,对于具有时变拓扑结构的动态网络的控制,着重综述了移动多自主体网络系统的蜂拥控制,并特别阐述了如何把牵制控制的思想用于蜂拥控制.      

Global existence of strong solution for the Cucker–Smale–Navier–Stokes system

We present a global existence theory for strong solution to the Cucker–Smale–Navier–Stokes system in a periodic domain, when initial data is sufficiently small. To model interactions between flocking particles and an incompressible viscous fluid, we couple the kinetic Cucker–Smale model and the incompressible Navier–Stokes system using a drag force mechanism that is responsible for the global flocking between particles and fluids. We also revisit the emergence of time-asymptotic flocking via new functionals measuring local variances of particles and fluid around their local averages and the distance between local averages velocities. We show that the particle and fluid velocities are asymptotically aligned to the common velocity, when the viscosity of the incompressible fluid is sufficiently large compared to the sup-norm of the particles' local mass density.     

Emergent dynamics of the first‐order stochastic Cucker‐Smale model and application to finance

In this paper, we study stochastic aggregation properties of the financial model for the N‐asset price process whose dynamics is modeled by the weakly geometric Brownian motions with stochastic drifts. For the temporal evolution of stochastic components of drift coefficients, we employ a stochastic first‐order Cucker‐Smale model with additive noises. The asset price processes are weakly interacting via the stochastic components of drift coefficients. For the aggregation estimates, we use the macro‐micro decomposition of the fluctuations around the average process and show that the fluctuations around the average value satisfies a practical aggregation estimate over a time‐independent symmetric network topology so that we can control the differences of drift coefficients by tuning the coupling strength. We provide numerical examples and compare them with our analytical results. We also discuss some financial implications of our proposed model.