Search Results for author:
Found 13 papers, 3 papers with code
Data-driven architecture to encode information in the kinematics of robots and artificial avatars
We present a data-driven control architecture for modifying the kinematics of robots and artificial avatars to encode specific information such as the presence or not of an emotion in the movements of an avatar or robot driven by a human operator.
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
In addressing control problems such as regulation and tracking through reinforcement learning, it is often required to guarantee that the acquired policy meets essential performance and stability criteria such as a desired settling time and steady-state error prior to deployment.
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.
Local convergence of multi-agent systems towards triangular patterns
Geometric pattern formation is an important emergent behavior in many applications involving large-scale multi-agent systems, such as sensor networks deployment and collective transportation.
Consensus-based Distributed Intentional Controlled Islanding of Power Grids
The problem of partitioning a power grid into a set of islands can be a solution to restore power dispatchment in sections of a grid affected by an extreme failure.
CT-DQN: Control-Tutored Deep Reinforcement Learning
One of the major challenges in Deep Reinforcement Learning for control is the need for extensive training to learn the policy.
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application
Given a flow network with variable suppliers and fixed consumers, the minimax flow problem consists in minimizing the maximum flow between nodes, subject to flow conservation and capacity constraints.
Adaptive and quasi-sliding control of shimmy in landing gears
Shimmy is a dangerous phenomenon that occurs when aircraft's nose landing gears oscillate in a rapid and uncontrollable fashion.
Synchronization of networks of piecewise-smooth systems
We study convergence in networks of piecewise-smooth (PWS) systems that commonly arise in applications to model dynamical systems whose evolution is affected by macroscopic events such as switches and impacts.
Utilizing synchronization to partition power networks into microgrids
The problem of partitioning a power grid into a set of microgrids, or islands, is of interest for both the design of future smart grids, and as a last resort to restore power dispatchment in sections of a grid affected by an extreme failure.
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization
This paper is concerned with the design of intermittent non-pharmaceutical strategies to mitigate the spread of the COVID-19 epidemic exploiting network epidemiological models.
Intermittent yet coordinated regional strategies can alleviate the COVID-19 epidemic: a network model of the Italian case
Using the model, we confirm the effectiveness at the regional level of the national lockdown strategy implemented so far by the Italian government to mitigate the spread of the disease and show its efficacy at the regional level.
Physics and Society Populations and Evolution 93C10, 92D30, 92D25 J.2
Control of Painlevé Paradox in a Robotic System
The Painlev\'e paradox is a phenomenon that causes instability in mechanical systems subjects to unilateral constraints.
