most citedA Dynamic Parametric Wind Farm Model for Simulating Time-varying Wind Conditions and Floating Platform Motion

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Distributed Model-Free Turbine Repositioning for Wake Overlap Minimization in Floating Offshore Wind Farms

Zekai Chen, Ryozo Nagamune

This paper presents a model-free method for turbine repositioning control in floating offshore wind farms. The method uses a distributed online optimization framework to mitigate t…

eess.SY2026

ffconnect: An Interactive Interface for Control Integration in Mid-Fidelity Wind Farm Simulation

Zekai Chen, Casey Heiskell, Ryozo Nagamune

Wind farm control (WFC) plays a crucial role in mitigating the wake effect, the negative aerodynamic interactions among wind turbines. Recent advances in data-driven control and ar…

eess.SY2020★ 1 cited

Distributed Economic Model Predictive Control -- Addressing Non-convexity Using Social Hierarchies

Ali C. Kheirabadi, Ryozo Nagamune

This paper introduces a novel concept for addressing non-convexity in the cost functions of distributed economic model predictive control (DEMPC) systems. Specifically, the propose…

physics.flu-dyn2020★ 2 cited

A Dynamic Parametric Wind Farm Model for Simulating Time-varying Wind Conditions and Floating Platform Motion

Ali C. Kheirabadi, Ryozo Nagamune

This paper introduces a dynamic parametric wind farm model that is capable of simulating floating wind turbine platform motion coupled with wake transport under time-varying wind c…

eess.SY2020

Social Hierarchy-based Distributed Economic Model Predictive Control of Floating Offshore Wind Farms

Ali C. Kheirabadi, Ryozo Nagamune

This paper implements a recently developed social hierarchy-based distributed economic model predictive control (DEMPC) algorithm in floating offshore wind farms for the purpose of…

eess.SY2020

A Hybrid Gaussian Process Approach to Robust Economic Model Predictive Control

Mohammadreza Rostam, Ryozo Nagamune, Vladimir Grebenyuk

This paper proposes a hybrid Gaussian process (GP) approach to robust economic model predictive control under unknown future disturbances in order to reduce the conservatism of the…