Neural network control of robot manipulators and nonlinear systems / F.L. Lewis, S. Jagannathan, A. Yeşildirek.
There has been great interest in "universal controllers" that mimic the functions of human processes to learn about the systems they are controlling on-line so that performance improves automatically. Neural network controllers are derived for robot manipulators in a variety of application...
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Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
[Boca Raton, Fla.] :
CRC Press,
[2020]
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Table of Contents:
- 1. Background on Neural Networks 2. Background on Dynamic Systems 3. Robot Dynamics and Control 4. Neural Network Robot Control: Applications and Extensions 5. Neural Network Control of Non-linear Systems 6. Neural Network Control with Discrete-time Feedback Linearization by Neural Networks 7. System Identification Using Discrete-time Neural Networks.