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Catalogo Ricerca: [1258] Home page macrotipologia

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1 Contributo su Rivista 908
- 1.1 Articolo in rivista 840
- 1.2 Recensione in rivista 55
- 1.3 Scheda bibliografica 3
- 1.4 Nota a sentenza 10
- 1.5 Abstract in rivista 0
- 1.6 Traduzione in rivista 0

2 Contributo in Volume 135

3 Libro 46

4 Contributo in Atti di Convegno (Proceeding) 135

5 Altro 15
- 5.01 Composizione 7
- 5.02 Disegno 0
- 5.03 Design 0
- 5.04 Performance 0
- 5.05 Esposizione 0
- 5.06 Mostra 0
- 5.07 Manufatto 0
- 5.08 Prototipo d'arte e relativi progetti 0
- 5.09 Cartografia 0
- 5.10 Banca dati 0
- 5.11 Software 0
- 5.12 Altro 8
- 5.13 Progetto architettonico 0

6 Brevetti 2
- 6.1 Brevetto 2

7 Curatele 17
- 7.1 Curatela 17

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...

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