Aircraft Neural Modeling and Aerodynamics Parameter Estimation using Neural Partial Differentiation

The neural modeling of a dynamic system is presented in this chapter. The former literature reported that ordinary differential equations can be solved by an neural-network-based approach. Contains detailed mathematical steps for the readers to learn the approach of neural partial differentiation to estimate parameters of the aircraft dynamic system Outlines aircraft modeling and parameter estimation in detail with the help of block diagram for the approach of Neural Partial Differentiation Describes flexible aircraft parameter estimation

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