scholarly journals Decoupled sliding-mode with fuzzy-neural network controller for nonlinear systems

2007 ◽  
Vol 46 (1) ◽  
pp. 74-97 ◽  
Author(s):  
Lon-Chen Hung ◽  
Hung-Yuan Chung
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Fuzzy Neural Network ◽  
Sliding Mode ◽  
Neural Network Controller ◽  
Network Controller ◽  
Fuzzy Neural

Aviation Flight Attitude Control Technology

2014 ◽  
Vol 716-717 ◽  
pp. 1567-1571
Author(s):  
Jun Hu
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Sliding Mode ◽  
Gaussian White Noise ◽  
Training Data ◽  
External Interference ◽  
Neural Network Controller ◽  
Network Controller ◽  
Fuzzy Neural ◽  
The Impact

This paper presents a range of two miniature spacecraft attitude Fuzzy Neural Network Sliding adaptive controller, using a weighting factor to combine indirect and direct fuzzy neural network controller fuzzy neural network controller. Interval two free parameters of fuzzy neural network adaptive sliding mode controller via output feedback control law and adaptive law be adjusted online. Simulation results show that after joining 10db Gaussian white noise, and in order to reduce the impact of external interference and noise training data, a controller with respect to the range of large amount of control type II generated by the controller. Overall adaptive scheme guarantees the global stability of the closed-loop system, all signals involved are bounded in some way, and also showed a high level of tracking performance.

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.

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