Simple and effective control techniques are necessary to improve the Quality of Service
(QoS) in a variety of composable and reconfigurable networked systems. Traditional …

In practical applications, a learning automaton acts as an adaptive controller in modeling a
process as well as an appropriate control signal generator. Systems built with learning …

There is a high degree of uncertainty regarding the nature of traffic on future integrated
service networks. This uncertainty motivates the use of adaptive resource allocation policies …

The problem of distributed congestion control as it arises in communication networks as well
as in manufacturing systems is studied in this paper. In particular, a multistage queueing …

ADAPTIVE and learning systems have drawn considerable attention in the last few decades
due to their inherent strength in suitably modeling many real-world complex systems, which …

Composable Conveyors expose fundamental new problems that must be addressed as the
nation transforms its advanced manufacturing infrastructure. Unanticipated fluctuations in …

This research investigates communications network routing procedures, based on
distributed learning automata concepts for circuit and packet switched networks. For this …

Control of queueing networks has been an active area of research for many years and with a
variety of motivations, ranging from communication networks to supply chains. Nevertheless …

The digital system of the future will face the growing challenge of controlling the system
behavior in complex dynamically evolving environments. In this paper, we examine the …

The general view of flow networks controlled by periodic devices provides a powerful
unifying language for diverse fields of application. Recent publications on traffic control have …