3 papers
eess.SY2020
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data
Leif Erik Andersson, Bart Doekemeijer, Daan van der Hoek +2
This article investigates the optimization of yaw control inputs of a nine-turbine wind farm. The wind farm is simulated using the high-fidelity simulator SOWFA. The optimization i…
math.OC2019
Stochastic data-driven model predictive control using Gaussian processes
E. Bradford, L. Imsland, D. Zhang +1
Nonlinear model predictive control (NMPC) is one of the few control methods that can handle multivariable nonlinear controlsystems with constraints. Gaussian processes (GPs) presen…
math.OC2016
Optimal Boundary Control of 2x2 Linear Hyperbolic PDEs
Agus Hasan, Lars Imsland, Ivan Ivanov +2
The present paper develops an optimal linear quadratic boundary controller for linear hyperbolic partial differential equations (PDEs) with actuation on only one end of…