17 citations · 36 across the 13 of their papers we have counts for
31 papers
Direct vs Indirect Methods for Behavior-based Attack Detection
Darshan Gadginmath, Vishaal Krishnan, Fabio Pasqualetti
We study the problem of data-driven attack detection for unknown LTI systems using only input-output behavioral data. In contrast with model-based detectors that use errors from an…
Representation Learning for Context-Dependent Decision-Making
Yuzhen Qin, Tommaso Menara, Samet Oymak +2
Humans are capable of adjusting to changing environments flexibly and quickly. Empirical evidence has revealed that representation learning plays a crucial role in endowing humans…
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…
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…
On Direct vs Indirect Data-Driven Predictive Control
Vishaal Krishnan, Fabio Pasqualetti
In this work, we compare the direct and indirect approaches to data-driven predictive control of stochastic linear time-invariant systems. The distinction between the two approache…
Robust Adversarial Classification via Abstaining
Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti
In this work, we consider a binary classification problem and cast it into a binary hypothesis testing framework, where the observations can be perturbed by an adversary. To improv…