100 citations · 228 across the 12 of their papers we have counts for
14 papers · 1 filter
SPOCK: A proximal method for multistage risk-averse optimal control problems
Alexander Bodard, Ruairi Moran, Mathijs Schuurmans +2
Risk-averse optimal control problems have gained a lot of attention in the last decade, mostly due to their attractive mathematical properties and practical importance. They can be…
Massively parallelizable proximal algorithms for large-scale stochastic optimal control problems
Ajay K. Sampathirao, Panagiotis Patrinos, Alberto Bemporad +1
Scenario-based stochastic optimal control problems suffer from the curse of dimensionality as they can easily grow to six and seven figure sizes. First-order methods are suitable a…
Optimal operation of microgrids with risk-constrained state of charge
Jie Lei, Christian A. Hans, Pantelis Sopasakis
In this paper we present a stochastic scenario-based model predictive control (MPC) approach for the operation of islanded microgrids with high share of renewable energy sources. W…
OpEn: Code Generation for Embedded Nonconvex Optimization
Pantelis Sopasakis, Emil Fresk, Panagiotis Patrinos
We present Optimization Engine (OpEn): an open-source code generation tool for real-time embedded nonconvex optimization, which implements a novel numerical method. OpEn combines t…
Uncertainty-aware demand management of water distribution networks in deregulated energy markets
Pantelis Sopasakis, Ajay K. Sampathirao, Alberto Bemporad +1
We present an open-source solution for the operational control of drinking water distribution networks which accounts for the inherent uncertainty in water demand and electricity p…
Embedded nonlinear model predictive control for obstacle avoidance using PANOC
Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys +3
We employ the proximal averaged Newton-type method for optimal control (PANOC) to solve obstacle avoidance problems in real time. We introduce a novel modeling framework for obstac…