Burbano Lombana, Daniel Alberto (2015) Distributed PID Control for Consensus and Synchronization of Multi-agent Networks. [Tesi di dottorato]

[thumbnail of Burbano_Lombana_PhD.pdf]
Preview
Text
Burbano_Lombana_PhD.pdf

Download (17MB) | Preview
Item Type: Tesi di dottorato
Resource language: English
Title: Distributed PID Control for Consensus and Synchronization of Multi-agent Networks
Creators:
Creators
Email
Burbano Lombana, Daniel Alberto
danielalberto.burbanolombana@unina.it
Date: 31 March 2015
Number of Pages: 120
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 27
Coordinatore del Corso di dottorato:
nome
email
Garofalo, Francesco
franco.garofalo@unina.it
Tutor:
nome
email
di Bernardo, Mario
UNSPECIFIED
Date: 31 March 2015
Number of Pages: 120
Keywords: Consensus; Synchronization; Distributed Control; Networks
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Date Deposited: 26 Apr 2015 16:48
Last Modified: 08 Oct 2015 07:45
URI: http://www.fedoa.unina.it/id/eprint/10510
DOI: 10.6092/UNINA/FEDOA/10510

Collection description

We investigate the use of distributed PID actions to achieve consensus and synchronization in networks of homogeneous and heterogeneous agents. We first analyze the case of distributed PID control on networks with heterogeneous nodes described by first-order linear systems. Convergence of the strategy is proved using appropriate state transformations and Lyapunov functions. Then, we propose a multiplex proportional-integral approach, for solving consensus problems in networks of heterogeneous n-dimensional node dynamics affected by constant disturbances. The proportional and integral actions are deployed on two different layers across the network, each with its own topology. Furthermore, the contribution of the network topology and node dynamics have been systematically separated giving some sufficient conditions guaranteeing convergence. Finally, an extension to networks of identical nonlinear node dynamics is presented. We provide local and global stability analysis together with a detailed performance assessment where heterogeneity among nodes and disturbances are considered. The effectiveness of the theoretical results is illustrated via its application to a representative power grid model recently presented in the literature and also for synchronization in networks of chaotic circuits.

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item