论文信息 - Nonlinear aircraft control using a minimal radial basis function neural network

Nonlinear aircraft control using a minimal radial basis function neural network

A nonlinear inverse flight controller for fighter aircraft is designed using the minimal resource allocation neural network (MRAN) learning algorithm. MRAN has been shown to produce a minimal radial basis function network. The performance of the MRAN controller for the F8 aircraft is highlighted for following pilot commands.

Narasimhan Sundararajan | Paramasivan Saratchandran | Chua Boon Hong Nigel

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