A NEURAL NETWORK APPROACH TO ON-LINE IDENTIFICATION OF NONLINEAR SYSTEMS

1993 ◽  
Vol 24 (3) ◽  
pp. 171-195 ◽  
Author(s):  
PETER M. MILLS ◽  
ALBERT Y. ZOMAYA
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Network Approach ◽  
Neural Network Approach ◽  
Line Identification ◽  
On Line

Modeling of Uncertain Nonlinear System With Z-Numbers

2021 ◽  
pp. 290-314
Author(s):  
Raheleh Jafari ◽  
Sina Razvarz ◽  
Alexander Gegov ◽  
Satyam Paul
Keyword(s):  
Neural Network ◽  
Nonlinear System ◽  
Nonlinear Systems ◽  
Network Approach ◽  
Uncertain Nonlinear System ◽  
Neural Network Approach ◽  
The Neural Network ◽  
Simulation Results ◽  
Fuzzy Equations

In order to model the fuzzy nonlinear systems, fuzzy equations with Z-number coefficients are used in this chapter. The modeling of fuzzy nonlinear systems is to obtain the Z-number coefficients of fuzzy equations. In this work, the neural network approach is used for finding the coefficients of fuzzy equations. Some examples with applications in mechanics are given. The simulation results demonstrate that the proposed neural network is effective for obtaining the Z-number coefficients of fuzzy equations.

Force Parameters for On-line Tool Wear Estimation: A Neural Network Approach

1996 ◽  
Vol 9 (9) ◽  
pp. 1639-1645 ◽  
Author(s):  
Santanu Das ◽  
A.B Chattopadhyay ◽  
A.S.R Murthy
Keyword(s):  
Neural Network ◽  
Tool Wear ◽  
Network Approach ◽  
Neural Network Approach ◽  
Tool Wear Estimation ◽  
On Line
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