Nonlinear control system with neural network controller using RasVal learning

2002 ◽  
Author(s):  
N. Shao ◽  
K. Hirasawa ◽  
M. Ohbayashi ◽  
K. Togo ◽  
J. Murata
Keyword(s):  
Neural Network ◽  
Control System ◽  
Nonlinear Control ◽  
Nonlinear Control System ◽  
Neural Network Controller ◽  
Network Controller

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

Self-Organization and Basis Functions of Neural Network Controllers

1996 ◽  
Vol 8 (4) ◽  
pp. 333-337 ◽  
Author(s):  
Takayuki Yamada ◽  
◽  
Norifumi Yasue ◽  
Takenori Morimitsu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Nonlinear Control ◽  
Basis Function ◽  
Basis Functions ◽  
Nonlinear Control System ◽  
Self Organization ◽  
Neural Network Controllers ◽  
Nonlinear Plant

This paper discusses a relationship between a controller for an unknown nonlinear plant and a self-organization capability which changes the structure of the controller. The controllers using both a neural network and a basis function have the potential to realize a nonlinear control system with self-organization capability because they can change their structure through the change of the number of neurons or basis functions.

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