Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
Abstract— This paper is concerned with the robust stabilization of a class of stochastic large-scale systems. The uncertainties satisfy integral quadratic constraints. The random...
Junlin Xiong, Valery A. Ugrinovskii, Ian R. Peters...
— We concern ourselves with the process of making optimized production planning decisions in the face of low frequency, high impact uncertainty, which takes the form of a small n...
In this research, we investigate how well Weibull, Gamma, and special bimodal distribution are suited as an alternative to the exponential distribution approach in the stochastic ...
Abstract-We analyze the capacity scaling laws of clustered ad hoc networks in which nodes are distributed according to a doubly stochastic shotnoise Cox process. We identify five d...