This paper presents a framework by which a data-driven optimization technique known as
Bayesian Optimization can be used for real-time optimal control. In particular, Bayesian …

This article presents a novel spatiotemporal optimization approach for vertical path planning
(ie, waypoint optimization) to maximize the net output power of an ocean current turbine …

This brief presents a model predictive control (MPC)-based spatiotemporal optimization
strategy that is applied to the problem of optimizing the altitude of a type of airborne wind …

This study presents a data-driven approach for optimizing the operating altitude of Airborne
Wind Energy (AWE) systems to maximize net energy production. Determining the optimal …

The modeling and control of tethered undersea kites for power generation are discussed in
this paper. In the first part, we apply the added mass model to underwater kite systems. In …

This paper applies a Lyapunov-based switched extremum seeking (LSES) control algorithm
to the application of altitude optimization of airborne wind energy systems. We perform an …

In order to achieve maximum power point tracking (MPPT) of wind energy systems, the
rotating speed of wind turbines (WTs) ought to be adjusted in the constant as indicated by …

This paper presents a unique nested optimization framework for the co-design of a physical
system (plant) and controller, which leverages optimal Design of Experiments (DoE) …

Numerous mobile robotic applications require agents to persistently explore and exploit
spatiotemporally varying, partially observable environments. Ultimately, the mathematical …

This paper presents a novel data-driven nested optimization framework that aims to solve
the problem of coupling between plant and controller optimization. This optimization strategy …