Online Neuro-Fuzzy Controller: Design for Robust Stability
The Online Neuro-Fuzzy Controller (ONFC) is a fuzzy-based adaptive control that uses a very simple structure and can control nonlinear, time-varying and uncertain systems. Its efficiency and low computational cost allowed applications in several industrial plants successfully. However, none of the p...
Main Authors: | Everthon De Souza Oliveira, Ricardo H. C. Takahashi, Walmir Matos Caminhas |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9239264/ |
Similar Items
-
Robust Longitudinal Aircraft- Control Based on an Adaptive Fuzzy-Logic Algorithm
by: Abdel- Latif Elshafei
Published: (2002-06-01) -
Further results on robust fuzzy dynamic systems with LMI D-stability constraints
by: Assawinchaichote Wudhichai
Published: (2014-12-01) -
Robust adaptive fuzzy control for single-chamber single-population microbial fuel cell
by: Li Fu, et al.
Published: (2021-01-01) -
Decentralized Robust Control for Nonlinear Interconnected Systems Based on T-S Fuzzy Bilinear Model
by: Zhang Guo, et al.
Published: (2013-04-01) -
Design and Simulation of Adaptive Neuro Fuzzy Inference Based Controller for Chaotic Lorenz System
by: Mehran Adibzadeh, et al.
Published: (2018-03-01)