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.
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by R. Timman
The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints.
by M. H. A. Davis - Tata Institute of Fundamental Research
There are actually two separate series of lectures, on controlled stochastic jump processes and nonlinear filtering respectively. They are united however, by the common philosophy of treating Markov processes by methods of stochastic calculus.
by Shankar Sastry, Marc Bodson - Prentice Hall
The book gives the major results, techniques of analysis and new directions in adaptive systems. It presents deterministic theory of identification and adaptive control. The focus is on linear, continuous time, single-input single output systems.
by Andrew Whitworth - Wikibooks
An inter-disciplinary engineering text that analyzes the effects and interactions of mathematical systems. This book is for third and fourth year undergraduates in an engineering program. It considers both classical and modern control methods.