scholarly journals An Approach for Synthesis of Robust Neural Network Controller for Multivariable Non-Linear Systems with Stochastic Parameters

1998 ◽  
Vol 31 (20) ◽  
pp. 997-1001
Author(s):  
Alexandra Grancharova ◽  
Jordan Zaprianov
Keyword(s):  
Neural Network ◽  
Linear Systems ◽  
Neural Network Controller ◽  
Network Controller ◽  
Stochastic Parameters ◽  
Non Linear ◽  
Non Linear Systems

scholarly journals Identification of Non-linear Systems through Convolutional Neural Network

2019 ◽  
Vol 8 (3) ◽  
pp. 3429-3434
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Convolutional Neural Network ◽  
Control Systems ◽  
Linear Systems ◽  
Test Data ◽  
Training Data ◽  
Analysis And Design ◽  
Non Linear ◽  
Non Linear Systems

The theory of control systems deals with the analysis and design of interacting components of a system in a configuration that provides the desired behavior. This paper deals with the problem of the identification of non-linear systems through Convolutional Neural Network (CNN). We propose a structure of a CNN and perform simulations with test data using unsupervised learning for the identification of nonlinear systems. Also, MLP is used to compare the results when there is noise in the training data, which allows us to see that the proposed CNN has better performance and can be used for cases where the noise is present. The proposed CNN is validated with test data. Tests are carried out with Gas oven data, comparing the proposed structure of CNN with a MLP. When there is noise in the data, CNN has better performance than MLP.

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