D
Davide Liuzza
Researcher at University of Sannio
Publications - 30
Citations - 648
Davide Liuzza is an academic researcher from University of Sannio. The author has contributed to research in topics: Piecewise & Multi-agent system. The author has an hindex of 9, co-authored 27 publications receiving 454 citations. Previous affiliations of Davide Liuzza include ENEA & University of Naples Federico II.
Papers
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Journal ArticleDOI
Event-Triggered Pinning Control of Switching Networks
Antonio Adaldo,Francesco Alderisio,Davide Liuzza,Guodong Shi,Dimos V. Dimarogonas,Mario di Bernardo,Karl Henrik Johansson +6 more
TL;DR: This paper investigates event-triggered pinning control for the synchronization of complex networks of nonlinear dynamical systems described by time-varying weighted graphs and featuring generic linear interaction protocols.
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Distributed model based event-triggered control for synchronization of multi-agent systems
TL;DR: An event-triggered strategy able to guarantee the existence of a minimum lower bound between inter-event times for broadcasted information and for control signal updating is proposed, thus allowing applications where both the communication bandwidth and the maximum updating frequency of actuators are critical.
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A review on the use of drones for precision agriculture
Pasquale Daponte,Luca De Vito,Luigi Glielmo,Luigi Iannelli,Davide Liuzza,Francesco Picariello,Giuseppe Silano +6 more
TL;DR: A survey on techniques, applied to precision agriculture monitoring, through the use of drones equipped with multispectral, thermal and visible cameras, for each application is proposed.
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Convergence and synchronization in heterogeneous networks of smooth and piecewise smooth systems
TL;DR: In this article, a framework for the study of convergence in networks where the nodes' dynamics may be both piecewise smooth and/or non-identical is presented, and sufficient conditions are derived for global convergence of all node trajectories towards the same bounded region in the synchronization error space.
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Analysis and stability of consensus in networked control systems
TL;DR: Two switching communication protocols are introduced, one based on a switching coupling law between neighboring nodes, the other on the conditional activation of links in the network, enhancing the speed of convergence to consensus.