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Dario Giuseppe Lui - IEEE Xplore Author Profile
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Dario Giuseppe Lui

Publications
20
Citations
338
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (22)
Image of author Dario Giuseppe Lui

Dario Giuseppe Lui

Affiliation

Distributed Automation Systems Laboratory
University of Naples Federico II
Napoli, Italy

Publication Topics

Biography

Dario Giuseppe Lui (Member, IEEE) was born in Avellino, in 1990. He received the master’s degree (Hons.) in electronics engineering for automation and telecommunications (specialization in automation) and the Ph.D. degree in information technology for engineering from the University of Sannio, Benevento, Italy, in 2015 and 2020, respectively. He is currently a Research Fellow at the University of Naples Federico II. His work focuses on the distributed control of multi-agent systems in the presence of communication impairments, with application to automotive field and reinforcement learning.(Based on document published on 10 February 2022).
Publications
20
Citations
338
Publications by Year
20182025
Co-Authors:
Show All Co-Authors (22)
Author's Published Works

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SOTIF-Oriented Distributed Control for Connected Autonomous Vehicles Platoons

Xiaohua Ge;Dario Giuseppe Lui;Carlo Motta;Alberto Petrillo;Stefania Santini

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Year: 2025 | Volume: 55, Issue: 4 | Journal Article |
This article extends the problem of safety of the intended functionality (SOTIF) to the platooning of connected autonomous vehicles (CAVs). In such multivehicle systems, SOTIF objectives are particularly challenging, since new issues arise due to the presence of interactions that propagate and intensify the effects and the risk connected to faults/failures/uncertainties, triggered by any platoon m...Show More

SOTIF-Oriented Distributed Control for Connected Autonomous Vehicles Platoons

Xiaohua Ge;Dario Giuseppe Lui;Carlo Motta;Alberto Petrillo;Stefania Santini

Year: 2025 | Volume: 55, Issue: 4 | Journal Article |

Enhancing Resilience of Islanded Microgrids Under Disturbances, Delays, and DoS Attacks Through a Novel Digital Predictor Method

Amedeo Andreotti;Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Transactions on Cybernetics
Year: 2025 | Volume: 55, Issue: 3 | Journal Article |
Since distributed control theory has now become a key ingredient in modern cyber-physical microgrids (MG), its implementation is inseparable from data communication. The introduction of a communication infrastructure inevitably brings communication threats, such as denial-of-service (DoS) attacks and network induced delays. This article represents the first attempt toward a unified distributed dig...Show More

Enhancing Resilience of Islanded Microgrids Under Disturbances, Delays, and DoS Attacks Through a Novel Digital Predictor Method

Amedeo Andreotti;Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2025 | Volume: 55, Issue: 3 | Journal Article |

LSTM-Based Predictive Control for Connected Autonomous Electric Vehicles Platoons

Giacomo Basile;Dario Giuseppe Lui;Elena Napoletano;Alberto Petrillo;Stefania Santini

2024 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
Year: 2024 | Conference Paper |
To successfully implement platooning of connected autonomous electric vehicles (CAEVs), it is necessary to actually cope with model uncertainties and unavoidable external disturbances. Indeed, in real-world driving scenarios, model mismatches and uncertainties due to variable conditions can severely impair the robustness of desired formation trajectory tracking, impacting the safety level, and als...Show More

LSTM-Based Predictive Control for Connected Autonomous Electric Vehicles Platoons

Giacomo Basile;Dario Giuseppe Lui;Elena Napoletano;Alberto Petrillo;Stefania Santini

Year: 2024 | Conference Paper |

Prescribed-Time Consensus Control for the Voltage Restoration in Inverter-based Islanded Microgrids

Amedeo Andreotti;Bianca Caiazzo;Sara Leccese;Dario Giuseppe Lui;Alberto Petrillo;I Stefania Santini

2024 American Control Conference (ACC)
Year: 2024 | Conference Paper |
Unlike Finite-Time (FT) and Fixed-Time (FxT) control strategies, Prescribed-Time (PT) control is able to alleviate the issue about the overestimation of the settling time, as well as the achievement of the system stability within a prescribed user-assignable settling time. Besides these benefits, no distributed PT solutions have been already proposed for distributed voltage secondary control in is...Show More

Prescribed-Time Consensus Control for the Voltage Restoration in Inverter-based Islanded Microgrids

Amedeo Andreotti;Bianca Caiazzo;Sara Leccese;Dario Giuseppe Lui;Alberto Petrillo;I Stefania Santini

Year: 2024 | Conference Paper |

Distributed Resilient Control for autonomous connected vehicles platoon over uncertain V2X communication links

Bianca Caiazzo;Fabrizio Di Rosa;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
The connectivity among vehicles via the modern Vehicle-to- Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies brings several issues due to the presence of trans-mission imperfections-prone communication channels. There-fore, it is required to carefully consider an uncertain communication structure during the design of distributed controllers for vehicular networks so to guarantee resil...Show More

Distributed Resilient Control for autonomous connected vehicles platoon over uncertain V2X communication links

Bianca Caiazzo;Fabrizio Di Rosa;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2023 | Conference Paper |

On the Resilience of Autonomous Connected Vehicles Platoon Under DoS Attacks: a Predictor-Based Sampled Data Control

Bianca Caiazzo;Dario Giuseppe Lui;Aniello Mungiello;Alberto Petrillo;Stefania Santini

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
As wireless communication networks can be affected by cyber-attacks and communication delays, which lead to dangerous implications for cooperative driving safety, control design becomes crucial in order to provide both resilience and robustness to vehicular networks. To this aim, this article addresses autonomous connected vehicles platoon formation problem undergoing both communication delays and...Show More

On the Resilience of Autonomous Connected Vehicles Platoon Under DoS Attacks: a Predictor-Based Sampled Data Control

Bianca Caiazzo;Dario Giuseppe Lui;Aniello Mungiello;Alberto Petrillo;Stefania Santini

Year: 2023 | Conference Paper |

Adaptive Distributed PI-like Control Protocol for the Virtual Coupling of Connected Heterogeneous Uncertain Nonlinear High-Speed Trains

Giacomo Basile;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

2023 31st Mediterranean Conference on Control and Automation (MED)
Year: 2023 | Conference Paper |
Virtual Coupling has been included among the most relevant innovations to be studied in the European Horizon 2020 Shift2Rail Joint Undertaking for increasing the railway lines capacity through the dynamic connection of two or more trains to form a convoy while preserving safety. Within this framework, this paper addresses the virtual coupling control problem for heterogeneous nonlinear uncertain c...Show More

Adaptive Distributed PI-like Control Protocol for the Virtual Coupling of Connected Heterogeneous Uncertain Nonlinear High-Speed Trains

Giacomo Basile;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2023 | Conference Paper |

Resilient Adaptive Finite-Time Fault-Tolerant Control for Heterogeneous Uncertain and Nonlinear Autonomous Connected Vehicles Platoons

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Open Journal of Intelligent Transportation Systems
Year: 2023 | Volume: 4 | Journal Article |
Cited by: Papers (9)
This paper addresses the control problem of heterogeneous uncertain nonlinear autonomous vehicle platoons in the presence of adversarial threats arising in Vehicular Ad-hoc NETworks (VANET) during the information sharing process. As unpredictable faults and/or malicious attacks may affect the trustworthiness of the messages shared among vehicles, a suitable resilient control law, able to enhance t...Show More

Resilient Adaptive Finite-Time Fault-Tolerant Control for Heterogeneous Uncertain and Nonlinear Autonomous Connected Vehicles Platoons

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2023 | Volume: 4 | Journal Article |

Cooperative Adaptive PID-Like Voltage Regulation in Inverter-Based Islanded Microgrids Under Unknown Uncertainties

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Systems Journal
Year: 2023 | Volume: 17, Issue: 3 | Journal Article |
Cited by: Papers (7)
As modern distributed generators (DGs) always involve heterogeneous and unknown disturbances, a lack of accurate knowledge about the entire microgrid (MG) dynamics arises. Hence, an appropriate secondary control strategy is helpful to improve the voltage regulation process in an uncertain and unknown environment. To this aim, in this article, we suggest a novel distributed adaptive proportional–in...Show More

Cooperative Adaptive PID-Like Voltage Regulation in Inverter-Based Islanded Microgrids Under Unknown Uncertainties

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2023 | Volume: 17, Issue: 3 | Journal Article |

Long Short-Term Memory-Based Neural Networks for Missile Maneuvers Trajectories Prediction⋆

Dario Giuseppe Lui;Gaetano Tartaglione;Francesco Conti;Gianmaria De Tommasi;Stefania Santini

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (7)
Due to its extensive applications in different contexts, moving target tracking has become a hot topic in the last years, above all in the military field. Specifically, missile tracking research received a great effort, mainly for its importance in terms of security and safety. Herein, traditional solutions, e.g. Interacting Multiple Model (IMM) based on the Kalman estimation theory, achieve good ...Show More

Long Short-Term Memory-Based Neural Networks for Missile Maneuvers Trajectories Prediction⋆

Dario Giuseppe Lui;Gaetano Tartaglione;Francesco Conti;Gianmaria De Tommasi;Stefania Santini

Year: 2023 | Volume: 11 | Journal Article |

Bipartite Tracking Consensus for High-Order Heterogeneous Uncertain Nonlinear Multi-Agent Systems With Unknown Leader Dynamics via Adaptive Fully-Distributed PID Control

Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Transactions on Network Science and Engineering
Year: 2023 | Volume: 10, Issue: 2 | Journal Article |
Cited by: Papers (14)
This article tackles the problem of bipartite tracking consensus for high-order heterogeneous nonlinear and uncertain Multi-Agent Systems (MASs) interacting over directed signed graphs, where the agent nonlinear dynamics, including the leader ones, are general and unknown. A novel fully-distributed adaptive PID-like protocol, that does not require any prior knowledge about the global information o...Show More

Bipartite Tracking Consensus for High-Order Heterogeneous Uncertain Nonlinear Multi-Agent Systems With Unknown Leader Dynamics via Adaptive Fully-Distributed PID Control

Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2023 | Volume: 10, Issue: 2 | Journal Article |

Deep Deterministic Policy Gradient-based Virtual Coupling Control For High-Speed Train Convoys

Giacomo Basile;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
This work addresses the problem of Virtual Coupling (VC) control for uncertain heterogeneous nonlinear autonomous trains convoys sharing information among each other with Radio Block Center (RBC) and via Train-2-Train (T2T) communication network. To solve the problem we propose a novel no-supervised actor-critic Deep Deterministic Policy Gradient-based (DDPG) controller which drives each train wit...Show More

Deep Deterministic Policy Gradient-based Virtual Coupling Control For High-Speed Train Convoys

Giacomo Basile;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2022 | Conference Paper |

Eco-Driving Control Architecture for Platoons of Uncertain Heterogeneous Nonlinear Connected Autonomous Electric Vehicles

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 12 | Journal Article |
Cited by: Papers (55)
The improvement of energy performance for platoons of autonomous connected vehicles is one of the major challenges the road transport sector is facing with. To this aim, this work addresses and solves the energy-consumption problem for uncertain heterogeneous electric nonlinear autonomous vehicles platoon via a novel Eco-Driving Control Architecture able to optimize its energy consumption performa...Show More

Eco-Driving Control Architecture for Platoons of Uncertain Heterogeneous Nonlinear Connected Autonomous Electric Vehicles

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2022 | Volume: 23, Issue: 12 | Journal Article |

A Deep Deterministic Policy Gradient Learning Approach to Missile Autopilot Design

Angelo Candeli;Gianmaria de Tommasi;Dario Giuseppe Lui;Adriano Mele;Stefania Santini;Gaetano Tartaglione

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Cited by: Papers (9)
In this paper a Deep Reinforcement Learning algorithm, known as Deep Deterministic Policy Gradient (DDPG), is applied to the problem of designing a missile lateral acceleration control system. To this aim, the autopilot control problem is recast in the Reinforcement Learning framework, where the environment consists of a 2-Degrees-of-Freedom nonlinear model of the missile’s longitudinal dyn...Show More

A Deep Deterministic Policy Gradient Learning Approach to Missile Autopilot Design

Angelo Candeli;Gianmaria de Tommasi;Dario Giuseppe Lui;Adriano Mele;Stefania Santini;Gaetano Tartaglione

Year: 2022 | Volume: 10 | Journal Article |

Connectivity Preserving Formation Stabilization in an Obstacle-Cluttered Environment in the Presence of Time-Varying Communication Delays

Savvas G. Loizou;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Transactions on Automatic Control
Year: 2022 | Volume: 67, Issue: 10 | Journal Article |
Cited by: Papers (37)
This technical article addresses the formation stabilization problem for multiagent systems (MASs) composed of dynamical agents moving within an obstacle-cluttered environment and sharing information via nonideal wireless communication networks. A novel distributed cooperative navigation function based control strategy is proposed, which drives the MAS to a desired formation without any collision ...Show More

Connectivity Preserving Formation Stabilization in an Obstacle-Cluttered Environment in the Presence of Time-Varying Communication Delays

Savvas G. Loizou;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2022 | Volume: 67, Issue: 10 | Journal Article |

Distributed Double-Layer Control for Coordination of Multiplatoons Approaching Road Restriction in the Presence of IoV Communication Delays

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

IEEE Internet of Things Journal
Year: 2022 | Volume: 9, Issue: 6 | Journal Article |
Cited by: Papers (53)
Internet of Vehicle (IoV) has become a hot topic in the last years due to its significant benefits in transportation systems in terms of quality, costs, and traffic management capability. Indeed, accurate and real-time information acquisition and diffusion are required to reach an efficient traffic management system according to the smart city paradigm. In this context, this article provides a nov...Show More

Distributed Double-Layer Control for Coordination of Multiplatoons Approaching Road Restriction in the Presence of IoV Communication Delays

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2022 | Volume: 9, Issue: 6 | Journal Article |

Distributed Fixed-Time Leader-Tracking Control for Heterogeneous Uncertain Autonomous Connected Vehicles Platoons

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

2021 29th Mediterranean Conference on Control and Automation (MED)
Year: 2021 | Conference Paper |
Cited by: Papers (9)
Longitudinal control for platoons of connected autonomous vehicles is a hot research topic in the Cooperative Intelligent Transport Systems (C-ITSs) domain. Most of the existing results solve the platooning problem asymptotically, without ensuring that the consensus could be achieved in a finite settling time. To this aim, in this work we address the problem of guaranteeing the leader-tracking for...Show More

Distributed Fixed-Time Leader-Tracking Control for Heterogeneous Uncertain Autonomous Connected Vehicles Platoons

Angelo Coppola;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2021 | Conference Paper |

Distributed Robust Finite-Time PID control for the leader-following consensus of uncertain Multi-Agent Systems with communication delay

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

2021 29th Mediterranean Conference on Control and Automation (MED)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
In this paper, the robust finite-time leader-following consensus problem for homogeneous uncertain linear Multi-Agent Systems (MASs) in the presence of time-varying communication delays is addressed and solved via a distributed time-delay PID-like control strategy. To analytically prove the robust finite-time stability of the resulting delayed neutral-type closed-loop MAS, we leverage both the des...Show More

Distributed Robust Finite-Time PID control for the leader-following consensus of uncertain Multi-Agent Systems with communication delay

Bianca Caiazzo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini

Year: 2021 | Conference Paper |

Distributed Robust PID Control For Leader Tracking in Uncertain Connected Ground Vehicles With V2V Communication Delay

Giovanni Fiengo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini;Manuela Tufo

IEEE/ASME Transactions on Mechatronics
Year: 2019 | Volume: 24, Issue: 3 | Journal Article |
Cited by: Papers (112)
The paper addresses the leader tracking problem for a platoon of connected autonomous vehicles in the presence of both homogeneous time-varying parameter uncertainties and vehicle-to-vehicle time-varying communication delay. To this aim, leveraging the multiagent systems (MAS) framework, a novel distributed robust proportional-integral-derivative control is proposed. The stability of the cohesive ...Show More

Distributed Robust PID Control For Leader Tracking in Uncertain Connected Ground Vehicles With V2V Communication Delay

Giovanni Fiengo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini;Manuela Tufo

Year: 2019 | Volume: 24, Issue: 3 | Journal Article |

Distributed Leader-Tracking for Autonomous Connected Vehicles in Presence of Input Time-Varying Delay

Giovanni Fiengo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini;Manuela Tufo

2018 26th Mediterranean Conference on Control and Automation (MED)
Year: 2018 | Conference Paper |
Cited by: Papers (9)
In this paper, the leader tracking problem for a platoon of connected vehicles in presence of homogeneous time-varying Vehicle-to-Vehicle communication delays is addressed. To this aim, the platoon is recast as a network of multiagent systems and consensus is achieved by leveraging a delayed distributed strategy that complements the standard linear diffusive control protocol with additional distri...Show More

Distributed Leader-Tracking for Autonomous Connected Vehicles in Presence of Input Time-Varying Delay

Giovanni Fiengo;Dario Giuseppe Lui;Alberto Petrillo;Stefania Santini;Manuela Tufo

Year: 2018 | Conference Paper |

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