Neural-Network-Based Adaptive Sliding Mode Control Design for Nonlinear Systems
Author:
Affiliation:
1. College of IOT Engineering, Hohai University,Nanjing,China,210098
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10316683/10316739/10316948.pdf?arnumber=10316948
Reference19 articles.
1. Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
2. Online learning based on adaptive learning rate for a class of recurrent fuzzy neural network
3. Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech Recognition
4. Self-Organizing Recurrent Fuzzy Wavelet Neural Network-Based Mixed $\rm{H}_{2}\rm{/ H}_{\rm{\infty }}$ Adaptive Tracking Control for Uncertain Two-Axis Motion Control System
5. A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm
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