Fully Tuned Radial Basis Function Neural Networks for Flight Control
Author:   N. Sundararajan ,  P. Saratchandran ,  Yan Li
Publisher:   Springer
Edition:   2002 ed.
Volume:   12
ISBN:  

9780792375180


Pages:   158
Publication Date:   30 November 2001
Format:   Hardback
Availability:   In Print   Availability explained
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Fully Tuned Radial Basis Function Neural Networks for Flight Control


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Overview

This volume 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.

Full Product Details

Author:   N. Sundararajan ,  P. Saratchandran ,  Yan Li
Publisher:   Springer
Imprint:   Springer
Edition:   2002 ed.
Volume:   12
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.950kg
ISBN:  

9780792375180


ISBN 10:   0792375181
Pages:   158
Publication Date:   30 November 2001
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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