Application of neural networks to adaptive control of nonlinear systems
This book investigates the ability of a neural network (NN) to learn how to control an unknown (nonlinear, in general) system, using data acquired on-line, that is during the process of attempting to exert control. Two algorithms are developed to train the neural network for real-time control applic...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Taunton, Somerset, England New York
Research Studies Press J. Wiley
1997.
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| Series: | UMIST Control Systems Centre series
4. |
| Subjects: | |
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Table of Contents:
- 1. Introduction
- 2. Network Structures and Learning Algorithms
- 3. Neural Networks Control Strategies
- 4. On-line BPM and LRLS Control Algorithms
- 5. Local Convergence and Stability Analysis
- 6. On-line IGLS Control Algorithm
- 7. Systems with Unknown and Varying Time-delays
- 8. Conclusions.