Fully Tuned Radial Basis Function Neural Networks for Flight Control

N. Sundararajan, P. Saratchandran, Yan Li (Autoren)

Buch | Hardcover

158 Seiten

2001
Springer (Verlag)
978-0-7923-7518-0 (ISBN)

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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, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks.
Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications.

1. A Review of Nonlinear Adaptive Neural Control Schemes.- I Nonlinear System Identification and Indirect Adaptive Control Schemes.- 2. Nonlinear System Identification Using Lyapunovbased Fully Tuned Rbfn.- 3. Real-Time Identification of Nonlinear Systems Using MRAN/EMRAN Algorithm.- 4. Indirect Adaptive Control Using Fully Tuned Rbfn.- II Direct Adaptive Control Strategy and Fighter aircraft applications.- 5. Direct Adaptive Neuro Flight Controller Using Fully Tuned Rbfn.- 6. Aircraft Flight Control Applications Using Direct Adaptive NFC.- 7. MRAN Neuro-Flight Controller for Robust Aircraft Control.- 8. Conclusions and Future Work.- Topic Index.

Erscheint lt. Verlag	30.11.2001
Reihe/Serie	The International Series on Asian Studies in Computer and Information Science ; 12
Zusatzinfo	XVI, 158 p.
Verlagsort	Dordrecht
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Physik / Astronomie ► Astronomie / Astrophysik
	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
	Naturwissenschaften ► Physik / Astronomie ► Thermodynamik
	Technik ► Elektrotechnik / Energietechnik
ISBN-10	0-7923-7518-1 / 0792375181
ISBN-13	978-0-7923-7518-0 / 9780792375180
Zustand	Neuware