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Invariance entropy for deterministic control systems : an introduction

Autore: Christoph Kawan; SpringerLink (Online service)
Editore: Cham, Switzerland : Springer, ©2013.
Serie: Lecture notes in mathematics (Springer-Verlag), 2089.
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
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  Per saperne di più…
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Dettagli

Genere/forma: Electronic books
Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
Tutti gli autori / Collaboratori: Christoph Kawan; SpringerLink (Online service)
ISBN: 9783319012889 3319012886
Numero OCLC: 859575294
Descrizione: 1 online resource (xxii, 270 p.) : ill.
Contenuti: 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.
Titolo della serie: Lecture notes in mathematics (Springer-Verlag), 2089.
Responsabilità: Christoph Kawan.
Maggiori informazioni:

Abstract:

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.

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