A Particle Swarm Optimized Fuzzy Neural Network Control for Acrobot

2006 ◽  
pp. 1160-1165
Author(s):  
Dong-bin Zhao ◽  
Jian-qiang Yi
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Particle Swarm ◽  
Network Control ◽  
Neural Network Control ◽  
Fuzzy Neural

scholarly journals Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties

2020 ◽  
Vol 28 (10) ◽  
pp. 2543-2554 ◽  
Author(s):  
Parham Mohsenzadeh Kebria ◽  
Abbas Khosravi ◽  
Saeid Nahavandi ◽  
Dongrui Wu ◽  
Fernando Bello
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Network Control ◽  
Neural Network Control ◽  
Fuzzy Neural ◽  
Teleoperation Systems

Electric Arc Furnace Based on Fuzzy Neural Network Control System and MATLAB Simulation

2011 ◽  
Vol 48-49 ◽  
pp. 491-495 ◽  
Author(s):  
Qiang Li ◽  
Peng Hua Wu
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Network Control ◽  
Time Variability ◽  
Neural Network Control ◽  
Arc Furnace ◽  
Fuzzy Neural ◽  
Arc Current

EAF steelmaking is a complex physical and chemical reactions，has Highly nonlinearity, time variability and strong coupling. As the electrode's contact with the charging circuit, charging the collapse of the gasification furnace components and liquid metal boiling and other factors, often result in dramatic fluctuations in arc current. At this point we need to quickly adjust the location of electrodes, so that arc current stable base on this within a certain range. This article in the fuzzy control and neural network’s foundation,will study a kind based on three-phase consciousness electric arc furnace predictive control new method, Using the fuzzy neural network control adjusting electrode, further enhancing the effectiveness of electric arc furnace’synthesis movement.

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