Valid RBFNN Adaptive Control for Pure-Feedback Nonlinear Systems With Matched Uncertainties
Author:
Affiliation:
1. Beijing Institute of Technology,School of Automation,Beijing,China,100081
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587506.pdf?arnumber=10587506
Reference15 articles.
1. Smooth stabilization implies coprime factorization
2. Adaptive Neural Network Control for a Class of Low-Triangular-Structured Nonlinear Systems
3. Adaptive Neural Control of Non-Affine Pure-Feedback Systems
4. Persistency of excitation, identification, and radial basis functions
5. An ISS-modular approach for neural control of pure-feedback systems
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