2 papers
eess.SY2025
Kernel-Based Learning of Stable Nonlinear Systems
Matteo Scandella, Michelangelo Bin, Thomas Parisini
Learning models of dynamical systems characterized by specific stability properties is of crucial importance in applications. Existing results mainly focus on linear systems or som…
math.OC2025
An exponentially stable discrete-time primal-dual algorithm for distributed constrained optimization
Xiaoxing Ren, Michelangelo Bin, Ivano Notarnicola +1
This paper studies a distributed algorithm for constrained consensus optimization that is obtained by fusing the Arrow-Hurwicz-Uzawa primal-dual gradient method for centralized con…