5 papers
Minimal Actuator Selection for Linear Time Invariant Systems
Luca Ballotta, Geethu Joseph
Selecting a few available actuators to ensure the controllability of a linear system is a fundamental problem in control theory. Previous works either focus on optimal performance,…
Personalized and Resilient Distributed Learning Through Opinion Dynamics
Luca Ballotta, Nicola Bastianello, Riccardo M. G. Ferrari +1
In this paper, we address two practical challenges of distributed learning in multi-agent network systems, namely personalization and resilience. Personalization is the need of het…
Confidence Boosts Trust-Based Resilience in Cooperative Multi-Robot Systems
Luca Ballotta, Ãron Vékássy, Stephanie Gil +1
Wireless communication-based multi-robot systems open the door to cyberattacks that can disrupt safety and performance of collaborative robots. The physical channel supporting inte…
Friedkin-Johnsen Model with Diminishing Competition
Luca Ballotta, Ãron Vékássy, Stephanie Gil +1
This letter studies the Friedkin-Johnsen (FJ) model with diminishing competition, or stubbornness. The original FJ model assumes that each agent assigns a constant competition weig…
Pointwise-Sparse Actuator Scheduling for Linear Systems with Controllability Guarantee
Luca Ballotta, Geethu Joseph, Irawati Rahul Thete
This paper considers the design of sparse actuator schedules for linear time-invariant systems. An actuator schedule selects, for each time instant, which control inputs act on the…