What is she best known for?
The fields of study she is best known for:
- Control theory
- Artificial intelligence
- Statistics
Control theory, Wind power, Control engineering, Feed forward and Control theory are her primary areas of study.
In the subject of general Control theory, her work in Adaptive control is often linked to Time optimal, thereby combining diverse domains of study.
Her work deals with themes such as Turbine, Turbine blade, Blade pitch, Wind speed and Marine engineering, which intersect with Wind power.
The concepts of her Control engineering study are interwoven with issues in Control system and Microscope.
Her studies in Feed forward integrate themes in fields like Phase, Linear system, Tracking, Discrete time and continuous time and Actuator.
Her work in Control theory addresses issues such as Converters, which are connected to fields such as Nonlinear control.
Her most cited work include:
- Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture (420 citations)
- Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study (296 citations)
- A tutorial on the dynamics and control of wind turbines and wind farms (295 citations)
What are the main themes of her work throughout her whole career to date?
Lucy Y. Pao focuses on Control theory, Wind power, Turbine, Control theory and Feed forward.
Her Control theory research includes themes of Control engineering, Vibration and Input shaping.
Her work in Wind power addresses subjects such as Automotive engineering, which are connected to disciplines such as Renewable energy.
As part of the same scientific family, Lucy Y. Pao usually focuses on Turbine, concentrating on Wind speed and intersecting with Remote sensing and Torque.
The Control theory study combines topics in areas such as Turbine blade and Pitch control.
Her Feed forward research incorporates themes from Discrete time and continuous time, Raster scan and Adaptive control.
She most often published in these fields:
- Control theory (53.17%)
- Wind power (31.34%)
- Turbine (27.82%)
What were the highlights of her more recent work (between 2017-2021)?
- Turbine (27.82%)
- Wind power (31.34%)
- Control theory (20.77%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Turbine, Wind power, Control theory, Control theory and Environmental science.
Her studies deal with areas such as Aerodynamics, Wind speed, Wind direction, Feed forward and Rotor as well as Turbine.
Her Feed forward research includes elements of Lidar and Wind tunnel.
Lucy Y. Pao has included themes like Marine engineering, Energy, Blade pitch, Wake and Structural load in her Wind power study.
Her Control theory study combines topics from a wide range of disciplines, such as Trailing edge, Torque and Actuator.
Her Control theory research is multidisciplinary, incorporating elements of Estimator and Model predictive control.
Between 2017 and 2021, her most popular works were:
- Grand challenges in the science of wind energy (89 citations)
- Active Power Control for Wind Farms Using Distributed Model Predictive Control and Nearest Neighbor Communication (21 citations)
- Adjoint-based model predictive control for optimal energy extraction in waked wind farms (20 citations)
In her most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Statistics
Lucy Y. Pao mostly deals with Turbine, Wind power, Wake, Environmental science and Control theory.
Her research in Turbine intersects with topics in Range, Aerodynamics and Estimator.
Her Aerodynamics research integrates issues from Optimal control and Rotor.
Her Wind power research is multidisciplinary, relying on both Marine engineering, Grand Challenges, Resource, Interdependence and Architectural engineering.
As a part of the same scientific study, Lucy Y. Pao usually deals with the Wake, concentrating on Control theory and frequently concerns with Automotive engineering and Renewable energy.
Her research in Control theory focuses on subjects like Model predictive control, which are connected to Active power control.
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