Coordinated Control System Modeling of Ultra-Supercritical Unit based on a New Fuzzy Neural Network

Energy ◽  
2021 ◽  
pp. 121231
Author(s):  
Guolian Hou ◽  
Jian Xiong ◽  
Guiping Zhou ◽  
Linjuan Gong ◽  
Congzhi Huang ◽  
...  
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
System Modeling ◽  
Coordinated Control ◽  
Fuzzy Neural

Nonlinear System Modeling Study Based on Fuzzy Neural Network with Chaotic Mechanism

2012 ◽  
Vol 532-533 ◽  
pp. 460-464
Author(s):  
Wen Li ◽  
Yu Guo
Keyword(s):  
Neural Network ◽  
Nonlinear System ◽  
Fuzzy Neural Network ◽  
System Modeling ◽  
Bp Algorithm ◽  
Complex Dynamic ◽  
Chaotic Neural Network ◽  
Nonlinear System Modeling ◽  
Fuzzy Neural ◽  
Simulation Results

This paper for the shortcomings of conventional BP algorithm which has slow convergence and falls into local minimum easily, the nonlinear self-feedback term with chaotic mechanism is introduced into this algorithm. Thus chaotic BP algorithm (CBPA) is given. The weight of fuzzy neural network (FNN) is trained and learned by using it. Thus an introduction-type fuzzy chaotic neural network (IFCNN) is constituted. Then simulation of nonlinear system based on IFCNN given is proposed. Simulation results show that the designed IFCNN has the same and complex dynamic characteristics with chaotic system, which has good modeling capabilities for nonlinear system.

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