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20132022
most citedCombined Plant and Controller Optimization of an Underwater Energy Harvesting Kite System

3 citations · 3 across the 6 of their papers we have counts for

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eess.SY2022★ 3 cited

Combined Plant and Controller Optimization of an Underwater Energy Harvesting Kite System

Kartik Naik, Sumedh Beknalkar, James Reed +3

This paper presents the formulation and results for a control-aware optimization of the combined geometric and structural design of an energy-harvesting underwater kite. Because ki…

eess.SY2021

Receding Horizon Iterative Learning Control for Continuously Operated Systems

Maxwell Wu, Mitchell Cobb, James Reed +3

This paper presents an iterative learning control (ILC) scheme for continuously operated repetitive systems for which no initial condition reset exists. To accomplish this, we deve…

eess.SY2020

On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems

Laurel N. Dunn, Christopher Vermillion, Fotini K. Chow +1

Real-time altitude control of airborne wind energy (AWE) systems can improve performance by allowing turbines to track favorable wind speeds across a range of operating altitudes.…

eess.SY2019

Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems

Ali Baheri, Chris Vermillion

We present a data-driven optimization framework that aims to address online adaptation of the flight path shape for an airborne wind energy system (AWE) that follows a repetitive p…

eess.SY2019

Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study

Ali Baheri, Chris Vermillion

We present a novel data-driven nested optimization framework that addresses the problem of coupling between plant and controller optimization. This optimization strategy is tailore…