We analyze convergence of decentralized cooperative online estimation algorithms by a network multiple nodes via information exchanging in an uncertain environment. Each node has linear observation unknown parameter with randomly time-varying matrices. The underlying communication is modeled sequence random digraphs and subjected to nonuniform delays channels. runs algorithm consisting consensu...

Networked control systems (NCSs) are a type of distributed control systems where sensors, actuators, and controllers are interconnected through a communication network. This system setup has the advantage of low cost, flexibility, and less wiring, but it also inevitably invites some delays and data loss into the design procedure. The focus of this thesis is to address the problem of analysis an...

We investigate the dynamics of an array of chaotic logistic maps coupled with random delay times. We report that for adequate coupling strength the array is able to synchronize, in spite of the random delays. Specifically, we find that the synchronized state is a homogeneous steady state, where the chaotic dynamics of the individual maps is suppressed. This synchronization behavior is largely i...

We describe an ambulance location optimization model that minimizes the number of ambulances needed to provide a specified service level. The model measures service level as the fraction of calls reached within a given time standard and considers response time to be composed of a random delay (prior to travel to the scene) plus a random travel time. In addition to modeling the uncertainty in th...

We address the problem of state estimation in linear time invariant systems when the measurements are subject to unknown random delays. In cases where the measurements are “time stamped” the delays can be computed on-line. In such cases, the estimation problem reduces to a standard Kalman Filtering problem. Here we will study the more challenging case when the measurements are not time stamped....

In this paper, we investigate synchronization of coupled second-order linear harmonic oscillators with random noises and time delays. The interaction topology is modeled by a weighted directed graph and the weights are perturbed by white noise. On the basis of stability theory of stochastic differential delay equations, algebraic graph theory and matrix theory, we show that the coupled harmonic...

We marry continuous time Markov decision processes (CTMDPs) with stochastic timed automata into a model with joint expressive power. This extension is very natural, as the two original models already share exponentially distributed sojourn times in locations. It enriches CTMDPs with timing constraints, or symmetrically, stochastic timed automata with one conscious player. Our model maintains th...

This paper is concerned with the output feedback stabilization problem of networked control systems (NCSs) with random communication delays. Mean-square stability is derived for the closed-loop NCSs. Based on this, the one-mode-dependent output feedback controller is designed, and the explicit expressions of the controller gains are obtained in terms of linear matrix inequalities (LMIs). A nume...