Higher transmission speeds, larger traffic volumes and the unpredictable characteristics of new applications, coupled with new end-user functions and features and variability of bandwidth, demand new networking methods, technologies and algorithms. These new directions are explored in Control and Performance in Packet, Circuit, and ATM Networks, which includes discussions of static flow, fluid flow, dynamic flow, learning automata, neural networks, fuzzy logic and much more. These techniques are used in performance evaluation, control and optimization of communications networks. Each of the methods achieves a different goal, and understanding them helps in the evaluation of different aspects of control and performance in communication networks. The book combines queuing theory with static-flow models and static optimization methods in order to analyze the behavior of communication networks. In addition, it reviews queuing theory and static optimization methods for the study of control problems in telecommunication networks. A valuable reference that can also be used as a text for an advanced course on the subject.