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Invariance Entropy for Deterministic Control Systems : An Introduction / by Christoph Kawan
(Lecture Notes in Mathematics. ISSN:16179692 ; 2089)

1st ed. 2013.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2013
本文言語 英語
大きさ XXII, 270 p. 2 illus., 1 illus. in color : online resource
著者標目 *Kawan, Christoph author
SpringerLink (Online service)
件 名 LCSH:Dynamical systems
LCSH:System theory
LCSH:Control theory
FREE:Dynamical Systems
FREE:Systems Theory, Control
一般注記 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
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
HTTP:URL=https://doi.org/10.1007/978-3-319-01288-9
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データ種別 電子ブック
分 類 LCC:QA843-871
DC23:515.39
書誌ID 4000118539
ISBN 9783319012889

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