𝔖 Bobbio Scriptorium
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Neural net robot controller: Structure and stability proofs

✍ Scribed by F. L. Lewis; A. Yeşildirek; K. Liu

Book ID
105139132
Publisher
Springer Netherlands
Year
1995
Tongue
English
Weight
1020 KB
Volume
12
Category
Article
ISSN
0921-0296

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Neural networks can only be trained with a crisp and finite data set. Therefore, the approximation quality of a trained network is hard to verify. So, a common way in proving stability of a trained neural net controller is to demonstrate the existence of a Lyapunov function. In this article we propo