998 citations · 2.2k across the 70 of their papers we have counts for
22 papers · 1 filter
On the Degree of Safety: Beyond Safe or Unsafe with Control Barrier Functions
Ruoyu Lin, Fabio Pasqualetti, Magnus Egerstedt
A valid control barrier function (CBF) certifies if its represented safe set can be rendered forward invariant, and the sign of its value indicates whether a state is safe or not,…
Vibrational Stabilization of Cluster Synchronization in Oscillator Networks
Yuzhen Qin, Alberto Maria Nobili, Danielle S. Bassett +1
Cluster synchronization is of great importance for the normal functioning of numerous technological and natural systems. Deviations from normal cluster synchronization patterns are…
Controllable Neural Architectures for Multi-Task Control
Umberto Casti, Giacomo Baggio, Sandro Zampieri +1
This paper studies a multi-task control problem where multiple linear systems are to be regulated by a single non-linear controller. In particular, motivated by recent advances in…
Analytical Characterization of Epileptic Dynamics in a Bistable System
Yuzhen Qin, Ahmed El-Gazzar, Danielle S. Bassett +2
Epilepsy is one of the most common neurological disorders globally, affecting millions of individuals. Despite significant advancements, the precise mechanisms underlying this cond…
Feedback linearization through the lens of data
C. De Persis, D. Gadginmath, F. Pasqualetti +1
Controlling nonlinear systems, especially when data are being used to offset uncertainties in the model, is hard. A natural approach when dealing with the challenges of nonlinear c…
Model-based and Data-based Dynamic Output Feedback for Externally Positive Systems
Abed AlRahman Al Makdah, Fabio Pasqualetti
In this work, we derive dynamic output-feedback controllers that render the closed-loop system externally positive. We begin by expressing the class of discrete-time, linear, time-…
Data-driven Eigenstructure Assignment for Sparse Feedback Design
Federico Celi, Giacomo Baggio, Fabio Pasqualetti
This paper presents a novel approach for solving the pole placement and eigenstructure assignment problems through data-driven methods. By using open-loop data alone, the paper sho…
Imitation and Transfer Learning for LQG Control
Taosha Guo, Abed AlRahman Al Makdah, Vishaal Krishnan +1
In this paper we study an imitation and transfer learning setting for Linear Quadratic Gaussian (LQG) control, where (i) the system dynamics, noise statistics and cost function are…
Multi-Task System Identification of Similar Linear Time-Invariant Dynamical Systems
Yiting Chen, Ana M. Ospina, Fabio Pasqualetti +1
This paper presents a system identification framework -- inspired by multi-task learning -- to estimate the dynamics of a given number of linear time-invariant (LTI) systems jointl…
Vibrational Control of Cluster Synchronization: Connections with Deep Brain Stimulation
Yuzhen Qin, Danielle S. Bassett, Fabio Pasqualetti
Cluster synchronization underlies various functions in the brain. Abnormal patterns of cluster synchronization are often associated with neurological disorders. Deep brain stimulat…
Behavioral Feedback for Optimal LQG Control
Abed AlRahman Al Makdah, Vishaal Krishnan, Vaibhav Katewa +1
In this work, we revisit the Linear Quadratic Gaussian (LQG) optimal control problem from a behavioral perspective. Motivated by the suitability of behavioral models for data-drive…
Data-driven Meets Geometric Control: Zero Dynamics, Subspace Stabilization, and Malicious Attacks
Federico Celi, Fabio Pasqualetti
Studying structural properties of linear dynamical systems through invariant subspaces is one of the key contributions of the geometric approach to system theory. In general, a mod…
Parameter Conditions to Prevent Voltage Oscillations Caused by LTC-Inverter Hunting on Power Distribution Grids
Jaimie Swartz, Federico Celi, Fabio Pasqualetti +1
As more distributed energy resources (DERs) are connected to the power grid, it becomes increasingly important to ensure safe and effective coordination between legacy voltage regu…
On a Security vs Privacy Trade-off in Interconnected Dynamical Systems
Vaibhav Katewa, Rajasekhar Anguluri, Fabio Pasqualetti
We study a security problem for interconnected systems, where each subsystem aims to detect local attacks using local measurements and information exchanged with neighboring subsys…
Data-Driven Attack Detection for Linear Systems
Vishaal Krishnan, Fabio Pasqualetti
This paper studies the attack detection problem in a data-driven and model-free setting, for deterministic systems with linear and time-invariant dynamics. Differently from existin…
Data-Driven Control of Complex Networks
Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
Our ability to manipulate the behavior of complex networks depends on the design of efficient control algorithms and, critically, on the availability of an accurate and tractable m…
On the Robustness of Data-Driven Controllers for Linear Systems
Rajasekhar Anguluri, Abed AlRahman Al Makdah, Vaibhav Katewa +1
This paper proposes a new framework and several results to quantify the performance of data-driven state-feedback controllers for linear systems against targeted perturbations of t…
A Framework to Control Functional Connectivity in the Human Brain
Tommaso Menara, Giacomo Baggio, Danielle S. Bassett +1
In this paper, we propose a framework to control brain-wide functional connectivity by selectively acting on the brain's structure and parameters. Functional connectivity, which me…
On the Real Stability Radius of Sparse Systems
Vaibhav Katewa, Fabio Pasqualetti
In this paper, we study robust stability of sparse LTI systems using the stability radius (SR) as a robustness measure. We consider real perturbations with an arbitrary and pre-spe…
The Observability Radius of Networks
Gianluca Bianchin, Paolo Frasca, Andrea Gasparri +1
This paper studies the observability radius of network systems, which measures the robustness of a network to perturbations of the edges. We consider linear networks, where the dyn…
Controllability Metrics, Limitations and Algorithms for Complex Networks
Fabio Pasqualetti, Sandro Zampieri, Francesco Bullo
This paper studies the problem of controlling complex networks, that is, the joint problem of selecting a set of control nodes and of designing a control input to steer a network t…
Consensus Networks over Finite Fields
Fabio Pasqualetti, Domenica Borra, Francesco Bullo
This work studies consensus strategies for networks of agents with limited memory, computation, and communication capabilities. We assume that agents can process only values from a…