Fast Design Space Exploration of Nonlinear Systems: Part I

no code implementations • 5 Apr 2021 • Sanjai Narain, Emily Mak, Dana Chee, Brendan Englot, Kishore Pochiraju, Niraj K. Jha, Karthik Narayan

This paper presents a new method of solving the inverse design problem namely, given requirements or constraints on output, find an input that also optimizes an objective function.

Active Learning Bayesian Optimization +1

Talking After Lights Out: An Ad Hoc Network for Electric Grid Recovery

no code implementations • 11 Feb 2021 • Jan Janak, Dana Chee, Hema Retty, Artiom Baloian, Henning Schulzrinne

When the electric grid in a region suffers a major outage, e. g., after a catastrophic cyber attack, a "black start" may be required, where the grid is slowly restarted, carefully and incrementally adding generating capacity and demand.

Networking and Internet Architecture

Robot Design With Neural Networks, MILP Solvers and Active Learning

no code implementations • 19 Oct 2020 • Sanjai Narain, Emily Mak, Dana Chee, Todd Huster, Jeremy Cohen, Kishore Pochiraju, Brendan Englot, Niraj K. Jha, Karthik Narayan

Central to the design of many robot systems and their controllers is solving a constrained blackbox optimization problem.

Acrobot Active Learning