Recursive Gaussian Process-Based Adaptive Control of a Ducted Kite System for Tidal Energy Harvesting

Siddiqui, Ayaz; Deese, Joe; Vermillion, Chris

doi:10.1109/tcst.2023.3243441

Recursive Gaussian Process-Based Adaptive Control of a Ducted Kite System for Tidal Energy Harvesting

Journal Article · 01 July 2023 · IEEE Transactions on Control Systems Technology

DOI:https://doi.org/10.1109/tcst.2023.3243441· OSTI ID:2418645

^[1]; ^[2]; ^[3]

Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA; OSTI
Corvid Technologies, Mooresville, NC, USA
Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, USA

Not provided.

Research Organization:: North Carolina State University, Raleigh, NC (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: EE0008635

OSTI ID:: 2418645

Journal Information:: IEEE Transactions on Control Systems Technology, Journal Name: IEEE Transactions on Control Systems Technology Journal Issue: 4 Vol. 31; ISSN 1063-6536

Publisher:: IEEE

Country of Publication:: United States

Language:: English

References (17)

Model reference adaptive control algorithms for industrial robots Nicosia, S.; Tomei, P. Automatica, Vol. 20, Issue 5 https://doi.org/10.1016/0005-1098(84)90013-X	journal	September 1984
Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy Bin-Karim, Shamir; Bafandeh, Alireza; Baheri, Ali IEEE Transactions on Control Systems Technology, Vol. 27, Issue 2 https://doi.org/10.1109/TCST.2017.2779428	journal	March 2019
Drifting Gaussian processes with varying neighborhood sizes for online model learning Meier, Franziska; Schaal, Stefan 2016 IEEE International Conference on Robotics and Automation (ICRA) https://doi.org/10.1109/ICRA.2016.7487143	conference	May 2016
Mapping and Assessment of the United States Ocean Wave Energy Resource Jacobson, Paul T.; Hagerman, George; Scott, George https://doi.org/10.2172/1060943	report	December 2011
Robust model reference adaptive controllers, Part I: Stability analysis Praly, L. The 23rd IEEE Conference on Decision and Control https://doi.org/10.1109/CDC.1984.272166	conference	December 1984
Predictive Control of Autonomous Kites in Tow Test Experiments Wood, Tony A.; Hesse, Henrik; Smith, Roy S. IEEE Control Systems Letters, Vol. 1, Issue 1 https://doi.org/10.1109/LCSYS.2017.2708984	journal	July 2017
Hierarchical Control Design and Performance Assessment of an Ocean Kite in a Turbulent Flow Environment Reed, James; Cobb, Mitchell; Daniels, Joshua IFAC-PapersOnLine, Vol. 53, Issue 2 https://doi.org/10.1016/j.ifacol.2020.12.1887	journal	January 2020
Real-time model learning using Incremental Sparse Spectrum Gaussian Process Regression Gijsberts, Arjan; Metta, Giorgio Neural Networks, Vol. 41 https://doi.org/10.1016/j.neunet.2012.08.011	journal	May 2013
Recursive Gaussian Process-Based Adaptive Control, With Application to a Lighter-Than-Air Wind Energy System Deese, Joe; Vermillion, Chris IEEE Transactions on Control Systems Technology, Vol. 29, Issue 4 https://doi.org/10.1109/TCST.2020.3014159	journal	July 2021
Flight Dynamics and Control of a Farm of Tethered Energy Systems in a Turbulent Field Siddiqui, Ayaz; Ramaprabhu, Praveen; Deese, Joe Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control https://doi.org/10.1115/DSCC2019-9168	conference	October 2019
Real-Time Control of a Kite-Model using an Auto-Generated Nonlinear MPC Algorithm Ferreau, Hans Joachim; Houska, Boris; Geebelen, Kurt IFAC Proceedings Volumes, Vol. 44, Issue 1 https://doi.org/10.3182/20110828-6-IT-1002.01117	journal	January 2011
System identification through online sparse Gaussian process regression with input noise Bijl, Hildo; Schön, Thomas B.; van Wingerden, Jan-Willem IFAC Journal of Systems and Control, Vol. 2 https://doi.org/10.1016/j.ifacsc.2017.09.001	journal	December 2017
Design of a prototype ocean current turbine—Part I: mathematical modeling and dynamics simulation VanZwieten, J.; Driscoll, F. R.; Leonessa, A. Ocean Engineering, Vol. 33, Issue 11-12 https://doi.org/10.1016/j.oceaneng.2005.10.005	journal	August 2006
Recursive Gaussian process regression Huber, Marco F. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing https://doi.org/10.1109/ICASSP.2013.6638281	conference	May 2013
Crosswind kite power (for large-scale wind power production) Loyd, Miles L. Journal of Energy, Vol. 4, Issue 3 https://doi.org/10.2514/3.48021	journal	May 1980
Generating electricity from the oceans Bahaj, AbuBakr S. Renewable and Sustainable Energy Reviews, Vol. 15, Issue 7 https://doi.org/10.1016/j.rser.2011.04.032	journal	September 2011
Recursive Gaussian process: On-line regression and learning Huber, Marco F. Pattern Recognition Letters, Vol. 45 https://doi.org/10.1016/j.patrec.2014.03.004	journal	August 2014

Similar Records

Integrated physical design, control design, and site selection for an underwater energy-harvesting kite system

Journal Article · 2023 · Renewable Energy · OSTI ID:2577099

A Fused Gaussian Process Modeling and Model Predictive Control Framework for Real-Time Path Adaptation of an Airborne Wind Energy System

Journal Article · 2022 · IEEE Transactions on Control Systems Technology · OSTI ID:2418644

Related Subjects

Automation & Control Systems
Engineering

Recursive Gaussian Process-Based Adaptive Control of a Ducted Kite System for Tidal Energy Harvesting

Citation Formats

References (17)

Similar Records

Related Subjects