[PDF.08hf] Fully Tuned Radial Basis Function Neural Networks for Flight Control (The International Series on Asian Studies in Computer and Information Science)

Fully Tuned Radial Basis Function Neural Networks for Flight Control (The International Series on Asian Studies in Computer and Information Science)

[PDF.rs98] Fully Tuned Radial Basis Function Neural Networks for Flight Control (The International Series on Asian Studies in Computer and Information Science)

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 | #12660305 in Books |  Springer |  2001-10-01 | Original language:English | PDF # 1 |  9.21 x.44 x6.14l,.98 | File type: PDF | 158 pages

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Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, th...

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