44 citations · 250 across the 61 of their papers we have counts for
8 papers · 1 filter
Failure Probability Constrained AC Optimal Power Flow
Anirudh Subramanyam, Jacob Roth, Albert Lam +1
Despite cascading failures being the central cause of blackouts in power transmission systems, existing operational and planning decisions are made largely by ignoring their underl…
Flexible nonstationary spatio-temporal modeling of high-frequency monitoring data
Christopher J. Geoga, Mihai Anitescu, Michael L. Stein
Many physical datasets are generated by collections of instruments that make measurements at regular time intervals. For such regular monitoring data, we extend the framework of ha…
A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities
Vishwas Rao, Romit Maulik, Emil Constantinescu +1
We develop a novel computational method for evaluating the extreme excursion probabilities arising from random initialization of nonlinear dynamical systems. The method uses excurs…
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control
Sen Na, Sungho Shin, Mihai Anitescu +1
We study the convergence properties of an overlapping Schwarz decomposition algorithm for solving nonlinear optimal control problems (OCPs). The algorithm decomposes the time domai…
Sequential Bayesian Parameter Estimation of Stochastic Dynamic Load Models
Daniel Adrian Maldonado, Vishwas Rao, Mihai Anitescu +1
In this paper we focus on the parameter estimation of dynamic load models with stochastic terms, in particular, load models where protection settings are uncertain, such as in aggr…
Overlapping Schwarz Decomposition for Constrained Quadratic Programs
Sungho Shin, Mihai Anitescu, Victor M. Zavala
We present an overlapping Schwarz decomposition algorithm for constrained quadratic programs (QPs). Schwarz algorithms have been traditionally used to solve linear algebra systems…
Efficient computation of extreme excursion probabilities for dynamical systems
Vishwas Rao, Mihai Anitescu
We develop a novel computational method for evaluating the extreme excursion probabilities arising for random initialization of nonlinear dynamical systems. The method uses a Marko…
Superconvergence of Online Optimization for Model Predictive Control
Sen Na, Mihai Anitescu
We develop a one-Newton-step-per-horizon, online, lag-, model predictive control (MPC) algorithm for solving discrete-time, equality-constrained, nonlinear dynamic programs. Bas…