In this paper we consider distributed adaptive stabilization for uncertain multivariable linear systems with a time-varying diagonal matrix gain. We show that are stabilizable by high gains if the system is an H-matrix positive entries. Based on measure and stability theory diagonally dominant systems, two classes of derive threshold condition to ensure their exponential monotonically increasin...

We study graph realization problems for the first time from a distributed perspective. Graph are encountered in construction of overlay networks that must satisfy certain degree or connectivity properties. them node capacitated clique (NCC) model computing, recently introduced representing peer-to-peer networks. focus on two central variants, degree-sequence realization and minimum th...

After briefly reviewing the appealing psychological properties of PDP systems, an introduction to their historical roots and basic computational mechanisms are provided. A variety network architectures described including one-layered perceptrons, backpropagation networks, Boltzmann machines recurrent systems. Three simulations analysed: First, a model that purports learn past tense English verb...