14 citations · 15 across the 3 of their papers we have counts for
Showing math.OCShow all
3 papers · 1 filter
math.OC2020
Global optimality in model predictive control via hidden invariant convexity
Jorn H. Baayen, Krzysztof Postek
Non-convex optimal control problems occurring in, e.g., water or power systems, typically involve a large number of variables related through nonlinear equality constraints. The id…
math.OC2020★ 1 cited
Mixed-Integer Path-Stable Optimisation, with Applications in Model-Predictive Control of Water Systems
Jorn Baayen, Jakub Marecek
Many systems exhibit a mixture of continuous and discrete dynamics. We consider a family of mixed-integer non-convex non-linear optimisation problems obtained in discretisations of…
math.OC2018
A continuation approach to the optimization of hydropower operations
Jorn H. Baayen, Julia Rauw, Teresa Piovesan
The instantaneous power generation from a hydroelectric turbine is proportional to the product of head difference and turbine flow. The equation relating power to hydraulic variabl…