Petrillo, Alberto (2018) Cooperative control of autonomous connected vehicles from a Networked Control perspective: Theory and experimental validation. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Cooperative control of autonomous connected vehicles from a Networked Control perspective: Theory and experimental validation
Creators:
Creators
Email
Petrillo, Alberto
alberto.petrillo@unina.it
Date: 8 December 2018
Number of Pages: 198
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Dottorato: Information technology and electrical engineering
Ciclo di dottorato: 31
Coordinatore del Corso di dottorato:
nome
email
Riccio, Daniele
daniele.riccio@unina.it
Tutor:
nome
email
Santini, Stefania
UNSPECIFIED
Date: 8 December 2018
Number of Pages: 198
Keywords: Autonomous Connected Vehicles; Networked Control Systems; Cooperative control ; time delays; communication impairments; cyber attacks.
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Date Deposited: 22 Jan 2019 21:52
Last Modified: 27 Jun 2020 05:10
URI: http://www.fedoa.unina.it/id/eprint/12513

Collection description

Formation control of autonomous connected vehicles is one of the typical problems addressed in the general context of networked control systems. By leveraging this paradigm, a platoon composed by multiple connected and automated vehicles is represented as one-dimensional network of dynamical agents, in which each agent only uses its neighboring information to locally control its motion, while it aims to achieve certain global coordination with all other agents. Within this theoretical framework, control algorithms are traditionally designed based on an implicit assumption of unlimited bandwidth and perfect communication environments. However, in practice, wireless communication networks, enabling the cooperative driving applications, introduce unavoidable communication impairments such as transmission delay and packet losses that strongly affect the performances of cooperative driving. Moreover, in addition to this problem, wireless communication networks can suffer different security threats. The challenge in the control field is hence to design cooperative control algorithms that are robust to communication impairments and resilient to cyber attacks. The work aim is to tackle and solve these challenges by proposing different properly designed control strategies. They are validated both in analytical, numerical and experimental ways. Obtained results confirm the effectiveness of the strategies in coping with communication impairments and security vulnerabilities.

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