Home page

Testo statico 1

Prodotti recenti

Analysis and Control of Piecewise-Smooth Systems and Networks

Piecewise-smooth systems are common in applications, ranging from dry friction oscillators in mechanics, to power converters in electrical engineering, to neuron cells in biology. While the theory of stability and the control of such dynamical systems have been studied extensively, the conditions that trigger specific collective dynamics when many of such systems are interconnected in a network are not fully understood. The study of emergent behaviour, and in particular synchronization, has a...

Controlling Complex Systems

This chapter provides a comprehensive overview of controlling collective behavior in complex systems comprising large ensembles of interacting dynamical agents. Building upon traditional control theory's foundation in individual systems, we introduce tools designed to address the unique challenges of coordinating networks that exhibit emergent phenomena, including consensus, synchronization, and pattern formation. We analyze how local agent interactions generate macroscopic behaviors and inve...

Data-driven design of complex network structures to promote synchronization

We consider the problem of optimizing the interconnection graphs of complex networks to promote synchronization. When traditional optimization methods are inapplicable, due to uncertain or unknown node dynamics, we propose a data-driven approach leveraging datasets of relevant examples. We analyze two case studies, with linear and nonlinear node dynamics. First, we show how including node dynamics in the objective function makes the optimal graphs heterogeneous. Then, we compare various desig...

Learning-based cognitive architecture for enhancing coordination in human groups

As interactions with autonomous agents—ranging from robots in physical settings to avatars in virtual and augmented realities—become more prevalent, developing advanced cognitive architectures is critical for enhancing the dynamics of human-avatar groups. This paper presents a reinforcement-learning-based cognitive architecture, trained via a sim-to-real approach, designed to improve synchronization in periodic motor tasks, crucial for applications in group rehabilitation and sports training....

Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars

We present a data-driven control architecture designed to encode specific information, such as the presence or absence of an emotion, in the movements of an avatar or robot driven by a human operator. Our strategy leverages a set of human-recorded examples as the core for generating information-rich kinematic signals. To ensure successful object grasping, we propose a deep reinforcement learning strategy. We validate our approach using an experimental dataset obtained during the reach-to-gras...

Ricerca

Aggiungi

Scopri

Testo statico 2

Prodotti più visti

Nomads, thresholds, and leaves: Queer entanglements within the AcademicConferenceMachine
Engaging in a sui generis dialogue with Adriana Cavarero and Olivia Guaraldo
Per un sapere senza qualità
Spazi bianchi. Le espressioni letterarie, linguistiche e visive dell'assenza
Cultural turn e sviluppo sostenibile. Il caso della Disability Art oltre il dualismo natura-cultura
A highly secreted sulphamidase engineered to cross the blood-brain barrier corrects brain lesions of mice with mucopolysaccharidoses type IIIA.
Prospérité, socialisme ou écologisme ? Retour sur le débat de l’Internationale socialiste de 1977 sur l’énergie et le nucléaire
A Hyphenated Approach Combining Pressure-Decay and in Situ FT-NIR Spectroscopy to Monitor Penetrant Sorption and Concurrent Swelling in Polymers
'La Cardarella' di Giustiniano Nelli
First post-Newtonian N-body problem in Einstein-Cartan theory with the Weyssenhoff fluid: Lagrangian and first integrals

Esplora il catalogo della ricerca

CINECA IRIS Institutial research information system

Prodotti recenti

Analysis and Control of Piecewise-Smooth Systems and Networks

Controlling Complex Systems

Data-driven design of complex network structures to promote synchronization

Learning-based cognitive architecture for enhancing coordination in human groups

Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars

Ricerca

Scopri

Tipologia

Rivista

Serie

Data di pubblicazione

Prodotti più visti

Prodotti più scaricati

1.258

pubblicazioni

0

open-access

0

downloads

0

fulltext

90

autori