Machine learning methods have attracted growing interest across many fields, including solid mechanics. Constitutive artificial neural networks (CANNs) have shown high efficiency and accuracy for modeling hyperelastic materials, while physics-informed […]
This seminar presents a systematic methodology for the design of flight control laws for Medium Altitude Long Endurance (MALE) UAV operating at high altitudes, including the development of control law […]
The global shift towards sustainable power generation has led to a significant rise in distributed energy resources (DERs), particularly from renewable sources. These localized generation systems, when combined with energy […]
