48 citations · 294 across the 36 of their papers we have counts for
5 papers · 1 filter
Learning Over-Relaxation Policies for ADMM with Convergence Guarantees
Junan Lin, Paul J. Goulart, Luca Furieri
The Alternating Direction Method of Multipliers (ADMM) is a widely used method for structured convex optimization, and its practical performance depends strongly on the choice of p…
Optimal distributed control with stability guarantees by training a network of neural closed-loop maps
Danilo Saccani, Leonardo Massai, Luca Furieri +1
This paper proposes a novel approach to improve the performance of distributed nonlinear control systems while preserving stability by leveraging Deep Neural Networks (DNNs). We bu…
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
Yang Zheng, Luca Furieri, Maryam Kamgarpour +1
This paper studies a class of partially observed Linear Quadratic Gaussian (LQG) problems with unknown dynamics. We establish an end-to-end sample complexity bound on learning a ro…
System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation
Yang Zheng, Luca Furieri, Maryam Kamgarpour +1
It is known that the set of internally stabilizing controller is non-convex, but it admits convex characterizations using certain closed-loop maps: a cl…
On the Equivalence of Youla, System-level and Input-output Parameterizations
Yang Zheng, Luca Furieri, Antonis Papachristodoulou +2
A convex parameterization of internally stabilizing controllers is fundamental for many controller synthesis procedures. The celebrated Youla parameterization relies on a doubly-co…