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 [Tesi di dottorato] (Unpublished)

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Item Type: Tesi di dottorato
Lingua: English
Title: Analysis, Control and Synchronization of nonlinear systems and networks via Contraction Theory: theory and applications
Creators:
CreatorsEmail
Russo, Giovannigiovanni.russo2@unina.it
Date: 28 November 2010
Number of Pages: 256
Institution: Università degli Studi di Napoli Federico II
Department: 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, FrancescoUNSPECIFIED
Tutor:
nomeemail
Di Bernardo, Mariomario.dibernardo@unina.it
Date: 28 November 2010
Number of Pages: 256
Uncontrolled Keywords: Dynamical systems - Stability - Networks
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Date Deposited: 21 Dec 2010 12:25
Last Modified: 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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