We describe a real-time algorithm for learning aircraft parameters to be used by an adaptive controller. Learning consists of training a collection of radial basis function neural networks to approximate the incoming data stream in the least-squares sense. Only the heights of the basis functions are trained; heuristics are used to find their centers and… (More)