3 papers
eess.SY2026
Minimal Input Cardinality Disturbance Decoupling of Coupled Oscillators via Output Feedback with Application to Power Networks
Luca Claude Gino Lebon, Johan Lindberg, Claudio Altafini
In this paper, we identify the smallest set of control input nodes and an associated output feedback law that achieves complete disturbance decoupling for a class of coupled oscill…
math.OC2026
Geometric Control Theory Over Networks: Minimal Node Cardinality Disturbance Decoupling Problems
Luca Claude Gino Lebon, Claudio Altafini
In this paper we show how to formulate and solve disturbance decoupling problems over networks while choosing a minimal number of input and output nodes. Feedback laws that isolate…
cs.LG2025
Computing frustration and near-monotonicity in deep neural networks
Joel Wendin, Erik G. Larsson, Claudio Altafini
For the signed graph associated to a deep neural network, one can compute the frustration level, i.e., test how close or distant the graph is to structural balance. For all the pre…