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Lyapunov Theorems for Semistability of Discrete-Time Stochastic Systems with Application to Network Consensus with Random Communication Noise

机译:Lyapunov定理,用于不同时间随机系统的应用与随机通信噪声的网络共识

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This paper develops Lyapunov and converse Lyapunov theorems for discrete-time stochastic semistable nonlinear dynamical systems expressed by Itô-type difference equations possessing a continuum of equilibria. Specifically, we provide necessary and sufficient Lyapunov conditions for stochastic semistability and show that stochastic semistability implies the existence of a continuous Lyapunov function whose difference operator involves a discrete-time analog of the infinitesimal generator for continuous-time Ito dynamical systems and decreases along the dynamical system sample solution sequences satisfying an inequality involving the average distance to the set of the system equilibria. These results are then used to develop semistable consensus protocols for discrete-time networks with communication uncertainty capturing measurement noise and attenuation errors in the information transfer between agents. The proposed distributed control architecture involves the exchange of information between agents guaranteeing that the closed-loop dynamical network is stochastically semistable to an equipartitioned equilibrium representing a state of almost sure consensus consistent with basic discrete-time thermodynamic principles.
机译:本文开发了Lyapunov和Converse Lyapunov定理,用于采用ITô型差分方程表示的离散时间随机半可爱的非线性动力系统,其具有均线连续尺度。具体而言,我们为随机半质植性提供必要和足够的Lyapunov条件,并表明随机半硅可用性意味着连续Lyapunov功能的存在,其差分运算符涉及无限时间的离散时间模拟用于连续时间ITO动态系统的离散时间模拟,并且沿着动态减少系统样本溶液序列满足涉及与系统均衡集合的平均距离的不等式。然后,这些结果用于开发用于离散时间网络的半可用共识协议,其中具有通信不确定性在代理之间的信息传输中捕获测量噪声和衰减误差。所提出的分布式控制架构涉及代理之间的信息交换,保证闭环动态网络随着与基本离散时间热力学原理一致的几乎肯定共识的状态而言,闭环动态网络是随机的均衡。

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