Richard D. Sandberg

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 10

Top Topics

Theoretical Developments

Iterative Learning Control

Finite Difference

Top Venues

J. Comput. Phys.

IEEE Trans. Control. Syst. Technol.

Publications

Maximilian Reissmann, Yuan Fang, Andrew S. H. Ooi, Richard D. Sandberg
Accelerating evolutionary exploration through language model-based transfer learning. CoRR (2024)
Fabian Waschkowski, Yaomin Zhao, Richard D. Sandberg, Joseph Klewicki
Multi-objective CFD-driven development of coupled turbulence closure models. J. Comput. Phys. 452 (2022)
Maximilian Reissmann, Josef Hasslberger, Richard D. Sandberg, Markus Klein
Application of Gene Expression Programming to a-posteriori LES modeling of a Taylor Green Vortex. J. Comput. Phys. 424 (2021)
Raynold Tan, Andrew Ooi, Richard D. Sandberg
Two Dimensional Analysis of Hybrid Spectral/Finite Difference Schemes for Linearized Compressible Navier-Stokes Equations. J. Sci. Comput. 87 (2) (2021)
Yaomin Zhao, Harshal D. Akolekar, Jack Weatheritt, Vittorio Michelassi, Richard D. Sandberg
RANS turbulence model development using CFD-driven machine learning. J. Comput. Phys. 411 (2020)
Chitrarth Lav, Richard D. Sandberg, Jimmy Philip
A framework to develop data-driven turbulence models for flows with organised unsteadiness. J. Comput. Phys. 383 (2019)
Matthias Schoepplein, Jack Weatheritt, Richard D. Sandberg, Mohsen Talei, Markus Klein
Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames. J. Comput. Phys. 374 (2018)
Stefan C. Schlanderer, Gabriel D. Weymouth, Richard D. Sandberg
The boundary data immersion method for compressible flows with application to aeroacoustics. J. Comput. Phys. 333 (2017)
Mark Blackwell, Owen R. Tutty, Eric Rogers, Richard D. Sandberg
Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors. Int. J. Control 89 (1) (2016)
Jack Weatheritt, Richard D. Sandberg
A novel evolutionary algorithm applied to algebraic modifications of the RANS stress-strain relationship. J. Comput. Phys. 325 (2016)
Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg
Iterative learning control for load control of smart turbine blades with variable rotation rates. ACC (2015)
Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg
Iterative Learning Control for Improved Aerodynamic Load Performance of Wind Turbines With Smart Rotors. IEEE Trans. Control. Syst. Technol. 22 (3) (2014)
Mark Blackwell, Owen R. Tutty, Eric Rogers, Richard D. Sandberg
Computational fluid dynamics based iterative learning control for smart rotor enabled fatigue load reduction in wind turbines. ACC (2014)
Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg
Iterative learning control of wind turbine smart rotors with pressure sensors. ACC (2013)
Owen R. Tutty, Mark Blackwell, Eric Rogers, Richard D. Sandberg
Computational fluid dynamics based iterative learning control of peak loads in wind turbines. CDC (2012)