5 papers
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…
On the reduction of Linear Parameter-Varying State-Space models
E. Javier Olucha, Bogoljub Terzin, Amritam Das +1
This paper presents an overview and comparative study of the state of the art in State-Order Reduction (SOR) and Scheduling Dimension Reduction (SDR) for Linear Parameter-Varying (…
Electrical Fault Localisation Over a Distributed Parameter Transmission Line
Daniel Selvaratnam, Amritam Das, Henrik Sandberg
Motivated by the need to localise faults along electrical power lines, this paper adopts a frequency-domain approach to parameter estimation for an infinite-dimensional linear dyna…
Learning Flow Functions from Data with Applications to Nonlinear Oscillators
Miguel Aguiar, Amritam Das, Karl H. Johansson
We describe a recurrent neural network (RNN) based architecture to learn the flow function of a causal, time-invariant and continuous-time control system from trajectory data. By r…
Splitting algorithms and circuit analysis
Thomas Chaffey, Amritam Das, Rodolphe Sepulchre
The splitting algorithms of monotone operator theory find zeros of sums of relations. This corresponds to solving series or parallel one-port electrical circuits, or the negative f…