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 Stephen Boyd, Craig Barratt - Prentice-Hall
The book is motivated by the development of high quality integrated sensors and actuators, powerful control processors, and hardware and software that can be used to design control systems. Written for students and industrial control engineers.
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.
by Petr Husek - InTech
The the book covers broad field of theory and applications of many different control approaches applied on dynamic systems. Output and state feedback control include among others robust control, optimal control or intelligent control methods.
by Roy D. Byrd - Delmar Publishers
These materials are intended to provide a meaningful experience with automatic controls for students of modern technology. The topics included provide exposure to basic principles of control systems, transducers, actuators, amplifiers, controllers.