Discrete-Event Control of Stochastic Networks: Multimodularity and Regularity
by Eitan Altman, Bruno Gaujal, Arie Hordijk
Publisher: Springer 2003
Number of pages: 325
Opening new directions in research in both discrete event dynamic systems as well as in stochastic control, this volume focuses on a wide class of control and of optimization problems over sequences of integer numbers. This is a counterpart of convex optimization in the setting of discrete optimization. The theory developed is applied to the control of stochastic discrete-event dynamic systems.
Download or read it online for free here:
by Esteban Tlelo-Cuautle - InTech
This book presents a collection of major developments in chaos systems covering aspects on chaotic behavioral modeling and simulation, control and synchronization of chaos systems, and applications like secure communications.
by Panos J. Antsaklis, Kevin M. Passino (eds) - Kluwer Academic Publishers
An introduction to the field of intelligent control with a broad treatment of topics by several authors (including hierarchical / distributed intelligent control, fuzzy control, expert control, neural networks, planning systems, and applications).
by Eduardo D. Sontag - Springer
This textbook introduces the basic concepts of mathematical control and system theory in a self-contained and elementary fashion. Written for mathematically mature undergraduate or beginning graduate students, as well as engineering students.
by M.R. James - Australian National University
These notes are an overview of some aspects of optimal and robust control theory considered relevant to quantum control. The notes cover classical deterministic optimal control, classical stochastic and robust control, and quantum feedback control.