1 citations · 2 across the 15 of their papers we have counts for
6 papers · 1 filter
Direct Inference on Admissible Sets (Diona)
Lorenzo Sabug, Eric Kerrigan
We propose a new regression method named Direct Inference on Admissible Sets (Diona) that directly uses samples to estimate the state and its derivatives at a query point, along wi…
Generalized Semi-Infinite Programming for Robust Optimal Control with Decision-Dependent Uncertainty
J. Wehbeh, E. C. Kerrigan, E. Scaccia
Generalized semi-infinite programs (GSIPs) arise in robust optimal control whenever the admissible uncertainty depends on the state or controls. Existing GSIP methods either impose…
An Efficient Method for the Optimal Control of Microgrids Under Uncertainties using Local Reduction
Edoardo Scaccia, Eric C. Kerrigan, Anna Sadowska
The problem of optimal sizing and power scheduling in microgrids subject to uncertainties is well known to the control community. Commonly, the optimal control problem is cast as a…
Coalition Formation with Limited Information Sharing for Local Energy Management
Luke Rickard, Paola Falugi, Eric C. Kerrigan
Distributed energy systems with prosumers require new methods for coordinating energy exchange among agents. Coalitional control provides a framework in which agents form groups to…
A New Duality-Free Framework for Convex Optimisation with Superlinear Convergence and Effective Warm-Starting
Michael Cummins, Eric Kerrigan
Modern second order solvers for convex optimisation, such as interior point methods, rely on primal dual information and are difficult to warm start, limiting their applicability i…
Exact Continuous Reformulations of Logic Constraints in Nonlinear Optimization and Optimal Control Problems
Jad Wehbeh, Eric C. Kerrigan
Many nonlinear optimal control and optimization problems involve constraints that combine continuous dynamics with discrete logic conditions. Standard approaches typically rely on…