Read e-book online Fully Tuned Radial Basis Function Neural Networks for Flight PDF

By N. Sundararajan,P. Saratchandran,Yan Li

Fully Tuned Radial foundation functionality Neural Networks for Flight Control offers using the Radial foundation functionality (RBF) neural networks for adaptive keep an eye on of nonlinear platforms with emphasis on flight regulate functions. A Lyapunov synthesis technique is used to derive the tuning ideas for the RBF controller parameters so one can warrantly the steadiness of the closed loop procedure. in contrast to earlier tools that track basically the weights of the RBF community, this e-book offers the derivation of the tuning legislation for tuning the facilities, widths, and weights of the RBF community, and compares the consequences with latest algorithms. it's also an in depth evaluation of approach id, together with oblique and direct adaptive keep an eye on of nonlinear platforms utilizing neural networks.
Fully Tuned Radial foundation functionality Neural Networks for Flight Control is a wonderful source for pros utilizing neural adaptive controllers for flight keep an eye on applications.

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Fully Tuned Radial Basis Function Neural Networks for Flight Control (The International Series on Asian Studies in Computer and Information Science) by N. Sundararajan,P. Saratchandran,Yan Li


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