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Machine learning for flow-informed aerodynamic control in turbulent wind conditions - Communications Engineering

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Machine learning for flow-informed aerodynamic control in turbulent wind conditions - Communications Engineering

Control of aerodynamic forces in gusty, turbulent conditions is critical for the safety and performance of technologies such as unmanned aerial vehicles and wind turbines. The presence and severity of extreme flow conditions are difficult to predict, and explicit modeling of fluid dynamics for control is not feasible in real time.

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Machine learning for flow-informed aerodynamic control in turbulent wind conditions - Communications Engineering

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Machine learning for flow-informed aerodynamic control in turbulent wind conditions - Communications Engineering

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