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Fully Tuned Radial Basis Function Neural Networks for Flight Control - N. Sundararajan, P. Saratchandran,  Yan Li

Fully Tuned Radial Basis Function Neural Networks for Flight Control

Buch | Softcover
158 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2002
Springer-Verlag New York Inc.
978-1-4419-4915-8 (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 7.12.2010
Reihe/Serie The International Series on Asian Studies in Computer and Information Science ; 12
Zusatzinfo XVI, 158 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Naturwissenschaften Physik / Astronomie Astronomie / Astrophysik
Naturwissenschaften Physik / Astronomie Theoretische Physik
Naturwissenschaften Physik / Astronomie Thermodynamik
Technik Fahrzeugbau / Schiffbau
ISBN-10 1-4419-4915-1 / 1441949151
ISBN-13 978-1-4419-4915-8 / 9781441949158
Zustand Neuware
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