Russo, Giovanni (2010) Analysis, Control and Synchronization of nonlinear systems and networks via Contraction Theory: theory and applications. [Tesi di dottorato] (Inedito)

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Analysis, Control and Synchronization of nonlinear systems and networks via Contraction Theory: theory and applications
Autori:
AutoreEmail
Russo, Giovannigiovanni.russo2@unina.it
Data: 28 Novembre 2010
Numero di pagine: 256
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Informatica e sistemistica
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 23
Coordinatore del Corso di dottorato:
nomeemail
Garofalo, Francesco[non definito]
Tutor:
nomeemail
Di Bernardo, Mariomario.dibernardo@unina.it
Data: 28 Novembre 2010
Numero di pagine: 256
Parole chiave: Dynamical systems - Stability - Networks
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Depositato il: 21 Dic 2010 12:25
Ultima modifica: 30 Apr 2014 19:44
URI: http://www.fedoa.unina.it/id/eprint/8025
DOI: 10.6092/UNINA/FEDOA/8025

Abstract

The aim of the Thesis is that of providing a coherent theoretical framework for the study of networked systems, modeled by means of Ordinary Differential Equations(ODEs) with applications to biochemical networks. In particular, our interest is twofold. For interconnected systems, we explore the dynamical mechanisms which are responsible for the emergence of some coherent (coordinated) network dynamics. From the control viewpoint, we are interested in providing guidelines for the design of decentralized communication strategies (or protocols) for the network nodes which ensure some desired form of coordination. For biochemical systems, the analysis is focussed on understanding the key dynamical properties which are responsible for the system’s behavior, or functionality. The main results for the analysis/control of interconnected systems that are presented in the Thesis are based on the use of a generalized version of contraction theory.

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