12 citations · 52 across the 36 of their papers we have counts for
4 papers · 1 filter
Reduced Sample Complexity in Scenario-Based Control System Design via Constraint Scaling
Jaeseok Choi, Anand Deo, Constantino Lagoa +1
The scenario approach is widely used in robust control system design and chance-constrained optimization, maintaining convexity without requiring assumptions about the probability…
A scalable, gradient-stable approach to multi-step, nonlinear system identification using first-order methods
Cesare Donati, Martina Mammarella, Fabrizio Dabbene +2
This paper presents three main contributions to the field of multi-step system identification. First, drawing inspiration from Neural Network (NN) training, it introduces a tool fo…
A reference frame-based microgrid primary control for ensuring global convergence to a periodic orbit
Xinyuan Jiang, Constantino M. Lagoa, Daning Huang +1
Power systems with a high penetration of renewable generation are vulnerable to frequency oscillation and voltage instability. Traditionally, the stability of power systems is cons…
Combining Off-White and Sparse Black Models in Multi-step Physics-based Systems Identification -- EXTENDED VERSION
Cesare Donati, Martina Mammarella, Fabrizio Dabbene +2
In this paper, we propose a unified framework for identifying interpretable nonlinear dynamical models that preserve physical properties. The proposed approach integrates physical…