4 papers
Data-Driven Adjustable Robust Optimization
Xiaoxing Ren, Alessio Moreschini, Zhongda Chu +2
In this paper, we develop a two-stage data-driven approach to address the adjustable robust optimization problem, where the uncertainty set is adjustable to manage infeasibility ca…
Fault Localisation in Infinite-Dimensional Linear Electrical Networks
Daniel Selvaratnam, Alessio Moreschini, Amritam Das +2
We present a novel fault localisation methodology for linear time-invariant electrical networks with infinite-dimensional edge dynamics and uncertain fault dynamics. The theory acc…
Frequency-Domain Bounds for the Multiconductor Telegrapher's Equation
Daniel Selvaratnam, Alessio Moreschini, Amritam Das +2
We establish mathematical bounds on the chain, ABCD and immittance matrices of a multiconductor transmission line, based on the Telegrapher's equation. Closed-form expressions for…
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…