Optimal operation and control of towing kites using online and offline Gaussian process learning supported model predictive control
C Eckel, M Maiworm… - 2022 American Control …, 2022 - ieeexplore.ieee.org
Controlling wind kites requires accurate models, both for safe operation, as well as for thrust
maximization. To this end, we present a trajectory tracking model predictive control (MPC) …
maximization. To this end, we present a trajectory tracking model predictive control (MPC) …
A Fused Gaussian Process Modeling and Model Predictive Control Framework for Real-Time Path Adaptation of an Airborne Wind Energy System
A Siddiqui, J Borek, C Vermillion - IEEE Transactions on Control …, 2022 - ieeexplore.ieee.org
This article presents a computationally tractable adaptive control strategy suitable for mobile
systems operating in a stochastically and spatiotemporally varying environment by fusing …
systems operating in a stochastically and spatiotemporally varying environment by fusing …
Predictive Control of a Morphing Energy-Harvesting Kite
JB Fine, J Reed, K Naik… - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
In this work, we present a predictive control strategy, along with associated data-driven
simulation results, for a morphing-wing energy-harvesting kite. The kite under consideration …
simulation results, for a morphing-wing energy-harvesting kite. The kite under consideration …
Optimization of floating current turbines
C Zeng - 2022 - tore.tuhh.de
This dissertation documents and explains the development and optimization of a floating-
type tidal current turbine system that is capable to improve the power output in underrated …
type tidal current turbine system that is capable to improve the power output in underrated …
[图书][B] Rapid Adaptive Control Via Fused Machine Learning and Receding Horizon Techniques: Theoretical Framework and Application to Renewable Energy …
A Siddiqui - 2022 - search.proquest.com
A multitude of systems operate in environments that vary stochastically with decision
variables and time. The measure of performance of these systems is often dependent on the …
variables and time. The measure of performance of these systems is often dependent on the …