Inertia Parameter

Inertia parameters, representing the resistance of a system to changes in motion, are crucial for accurate modeling and control in diverse applications, from robotics and power grids to aerial vehicles. Current research focuses on developing robust control strategies that account for variable or uncertain inertia, often employing adaptive neural networks, fractional-order sliding mode control, or iterative least squares methods for system identification. These advancements are vital for improving the performance and stability of complex systems, particularly in scenarios with dynamic interactions or external disturbances, leading to more efficient and reliable operation in various fields.