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An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer (2022)
Journal Article

This paper presents a new method to calculate the inversion of the controlled linear/nonlinear dynamic plants which are described by input–output differential equation models. This new U-model-based inverter (U-inverter), cancels both system dynamics... Read More about An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer.

Investigation of flow augmentation and dynamic stall control devices as performance enhancement of lift-driven vertical axis wind turbine using high-fidelity CFD methods (2022)
Thesis

This study performs an investigation of dynamic stall control (Gurney flap (GF)) and flow augmentation (straight upstream deflector (SUD)) devices to improve the performance of lift-driven Vertical Axis Wind Turbine (VAWT) as they can improve the pow... Read More about Investigation of flow augmentation and dynamic stall control devices as performance enhancement of lift-driven vertical axis wind turbine using high-fidelity CFD methods.

Validation of shock-wave/turbulent boundary-layer interaction flows by high-fidelity numerical simulations (2022)
Presentation / Conference Contribution

Shock-wave/turbulent-boundary-layer interactions (SWTBLI) are prevalent phenomena around high-speed vehicles. The resultant strong adverse pressure gradient will induce large flow separation, high wall heat flux, and strong pressure fluctuation, alon... Read More about Validation of shock-wave/turbulent boundary-layer interaction flows by high-fidelity numerical simulations.

A novel dynamic movement primitives-based skill learning and transfer framework for multi-tool use (2022)
Presentation / Conference Contribution

Dynamic Movement Primitives (DMPs) is a general method for learning skills from demonstrations. Most previous research on DMP has focused on point to point skill learning and training, and the skills learned are usually generalized based on the same... Read More about A novel dynamic movement primitives-based skill learning and transfer framework for multi-tool use.