Invariance Entropy for Deterministic Control Systems
An Introduction
Series: Lecture Notes in Mathematics; 2089;
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Product details:
- Edition number 2013
- Publisher Springer
- Date of Publication 14 October 2013
- Number of Volumes 1 pieces, Book
- ISBN 9783319012872
- Binding Paperback
- No. of pages270 pages
- Size 235x155 mm
- Weight 4511 g
- Language English
- Illustrations 1 Illustrations, black & white; 1 Illustrations, color 0
Categories
Short description:
This monograph provides an introduction to the concept of invariance entropy, the central motivation of which lies in the need to deal with communication constraints in networked control systems. For the simplest possible network topology, consisting of one controller and one dynamical system connected by a digital channel, invariance entropy provides a measure for the smallest data rate above which it is possible to render a given subset of the state space invariant by means of a symbolic coder-controller pair. This concept is essentially equivalent to the notion of topological feedback entropy introduced by Nair, Evans, Mareels and Moran (Topological feedback entropy and nonlinear stabilization. IEEE Trans. Automat. Control 49 (2004), 1585?1597). The book presents the foundations of a theory which aims at finding expressions for invariance entropy in terms of dynamical quantities such as Lyapunov exponents. While both discrete-time and continuous-time systems are treated, the emphasis lies on systems given by differential equations.
MoreLong description:
This monograph provides an introduction to the concept of invariance entropy, the central motivation of which lies in the need to deal with communication constraints in networked control systems. For the simplest possible network topology, consisting of one controller and one dynamical system connected by a digital channel, invariance entropy provides a measure for the smallest data rate above which it is possible to render a given subset of the state space invariant by means of a symbolic coder-controller pair. This concept is essentially equivalent to the notion of topological feedback entropy introduced by Nair, Evans, Mareels and Moran (Topological feedback entropy and nonlinear stabilization. IEEE Trans. Automat. Control 49 (2004), 1585?1597). The book presents the foundations of a theory which aims at finding expressions for invariance entropy in terms of dynamical quantities such as Lyapunov exponents. While both discrete-time and continuous-time systems are treated, the emphasis lies on systems given by differential equations.
From the book reviews:
?The topics are well organized, the exposition is clear and there are examples to illustrate the theoretical results. This book is highly recommended for both researchers and graduate students in dynamical systems, control theory and related areas. This book is particularly useful because it collects in one place a large number of seminal results that are essential for an understanding of invariance entropy.? (Alexandre José Santana, Mathematical Reviews, August, 2014) MoreTable of Contents:
Basic Properties of Control Systems.- Introduction to Invariance Entropy.- Linear and Bilinear Systems.- General Estimates.- Controllability, Lyapunov Exponents, and Upper Bounds.- Escape Rates and Lower Bounds.- Examples.- Notation.- Bibliography.- Index.
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