Results 211 to 220 of about 47,257 (241)

A reinforcement neuro-fuzzy combiner for multiobjective control

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
This paper proposes a neuro-fuzzy combiner (NFC) with reinforcement learning capability for solving multiobjective control problems. The proposed NFC can combine n existing low-level controllers in a hierarchical way to form a multiobjective fuzzy controller.
C T, Lin, I F, Chung
openaire   +2 more sources

Neuro-fuzzy control using reinforcement learning

Proceedings of IEEE Systems Man and Cybernetics Conference - SMC, 2002
This paper proposes a general control strategy that combines reinforcement learning with approximate reasoning-based methods. We use a neuro-fuzzy controller, because of its ability to capture human knowledge in the form of fuzzy IF-THEN rules. Starting from a roughly tuned set of rules, we propose an on-line self-tuning method, using only a simple ...
openaire   +1 more source

Simulation of neuro-fuzzy controlled grid interactive inverter

2011 XXIII International Symposium on Information, Communication and Automation Technologies, 2011
In this study, a grid interactive inverter which is capable of importing electrical energy, generated from renewable energy sources such as wind, solar and fuel cells, to the grid line is designed and simulated with MATLAB/Simulink. A line frequency transformer and LCL filter is used at the output of the grid interactive inverter that is designed as ...
ALTIN, NECMİ, SEFA, İBRAHİM
openaire   +2 more sources

Neuro-Fuzzy-Based Adaptive Dynamic Surface Control for Fractional-Order Nonlinear Strict-Feedback Systems With Input Constraint

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
Shuai Song, Baoyong Zhang, Xiaona Song
exaly  

Cognitive Neuro-Fuzzy Control Systems

2023
openaire   +1 more source

Neuro-fuzzy models for control

2004
Detlef Nauck, Rudolf Kruse
openaire   +1 more source

Development and implementation of induction motor drive using sliding-mode based simplified neuro-fuzzy control

Engineering Applications of Artificial Intelligence, 2020
Rabi Narayan Mishra, Kanungo Barada Mohanty   +1 more
exaly  

Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm

IEEE Transactions on Cybernetics, 2013
Erkan Kayacan, Erdal Kayacan, Wouter Saeys   +2 more
exaly  

Adaptive Neuro–Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems

IEEE Transactions on Fuzzy Systems, 2019
Paulo Gil, Tiago Oliveira, Luis Brito Palma   +2 more
exaly  

Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor

Expert Systems With Applications, 2015
Hamid Yaghobi, Mojtaba Ahmadieh Khanesar
exaly