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Prodotti recenti

Assortativity in cognition

In pairwise interactions, where two individuals meet and play a social game with each other, assortativity in cognition means that pairs where both decision-makers use the same cognitive process are more likely to occur than what happens under random matching. In this paper, we show theoretically that assortativity in cognition may arise as a consequence of assortativity in other dimensions. Moreover, we analyze an applied model where we investigate the effects of assortativity in cognition o...

A Training to Relieve Work-Related Technostress: The Project “Tutela 2”

Technostress, or the inability to deal with information technology (IT) healthily, may have a detrimental impact on employees’ quality of life. The present study had the objective to develop training to facilitate the management of work-related technostress. A sample of 236 voluntary bank employees underwent an initial survey and a training protocol to mitigate and relieve technostress effects. Finally, they filled in the survey again. Within-group analyses were performed comparing pre- again...

The supramodality “spillover” from neuroscience to cognitive sciences: a commentary on Calzavarini (2023)

This is a commentary on Calzavarini (Citation2023), Rethinking Modality-Specificity in the Cognitive Neuroscience of Concrete Word Meaning: A Position Paper 10.1080/23273798.2023.2173789.

Auto-tuning of reference models in direct data-driven control

Designing controllers directly from data often requires choosing a reference closed-loop model, whose behavior should be reproduced as tightly as possible by the actual closed-loop system via the selected controller structure (e.g., PID). Within a linear setting, we present a derivative-based approach to jointly select the reference model and controller parameters directly from data. The proposed strategy allows one to maximize closed-loop performance while enforcing user-defined constraints,...

Counter-Example Guided Inductive Synthesis of Control Lyapunov Functions for Uncertain Systems

We propose a counter-example guided inductive synthesis (CEGIS) scheme for the design of control Lyapunov functions and associated state-feedback controllers for linear systems affected by parametric uncertainty with arbitrary shape. In the CEGIS framework, a learner iteratively proposes a candidate control Lyapunov function and a tailored controller by solving a linear matrix inequality (LMI) feasibility problem, while a verifier either falsifies the current candidate by producing a counter-...

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Data di pubblicazione
  • In corso di stampa16
  • 2020 - 2023831
  • 2010 - 20192241
  • 2000 - 20091061
  • 1990 - 1999216
  • 1983 - 198922
Prodotti più visti
  • Regional Delta Waves In Human Rapid Eye Movement Sleep
  • Dreaming in NREM sleep: A high-density EEG study of slow waves and spindles
  • Two distinct synchronization processes in the transition to sleep: A high-density electroencephalographic study
  • Toolbox of Interventions Against Online Misinformation and Manipulation
  • Complexity in Neural and Financial Systems: From Time-Series to Networks
  • La comunicazione non verbale nella Grecia antica: gli schemata nella danza, nell'arte, nella vita
  • When Neuroscience ‘Touches’ Architecture: From Hapticity to a Supramodal Functioning of the Human Brain
  • A multi phase-field-cohesive zone model for laminated composites: Application to delamination migration
  • Organization and hierarchy of the human functional brain network lead to a chain-like core
  • Bilateral Transcranial Direct Current Stimulation Language Treatment Enhances Functional Connectivity in the Left Hemisphere: Preliminary Data from Aphasia
Prodotti più scaricati
  • State of the art of cyber-physical systems security: An automatic control perspective
  • From linear to nonlinear MPC: bridging the gap via the real-time iteration
  • Vigilanza bancaria e integrazione europea. Profili di diritto amministrativo
  • Il falso nelle collezioni archeologiche: dall’autenticazione alla promozione della legalità,
  • Immagini narrative tra antico e contemporaneo: alcune riflessioni
  • Politica e amministrazione: "The Italian Style"
  • The sensory-deprived brain as a unique tool to understand brain development and function
  • Approximation Error Bounds via Rademacher Complexity
  • A Robust Scenario MPC Approach for Uncertain Multi-modal Obstacles
  • Gestione dei dati digitali della ricerca: linee guida per garantirne la produzione e conservazione sostenibile

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