Supervisory Control of Chaotic Systems Using Online GA Tuning Neural Networks

2006 ◽  
Author(s):  
Che Yanqiu ◽  
Wang Jiang ◽  
Zhou Sisi
Keyword(s):  
Neural Networks ◽  
Supervisory Control ◽  
Chaotic Systems

Supervisory control of PV-battery systems by online tuned neural networks

2013 ◽  
Author(s):  
L. Ciabattoni ◽  
G. Cimini ◽  
M. Grisostomi ◽  
G. Ippoliti ◽  
S. Longhi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Supervisory Control ◽  
Battery Systems

SYNCHRONIZING HIGH DIMENSIONAL CHAOTIC SYSTEMS VIA EIGENVALUE PLACEMENT WITH APPLICATION TO CELLULAR NEURAL NETWORKS

1999 ◽  
Vol 09 (04) ◽  
pp. 705-711 ◽  
Author(s):  
GIUSEPPE GRASSI ◽  
SAVERIO MASCOLO
Keyword(s):  
Neural Networks ◽  
Numerical Simulations ◽  
Linear Systems ◽  
Chaotic Systems ◽  
Cellular Neural Networks ◽  
High Dimensional ◽  
Suggested Approach ◽  
Error Dynamics ◽  
Controllability Property

In this paper a method for synchronizing high dimensional chaotic systems is developed. The objective is to generate a linear error dynamics between the master and the slave systems, so that synchronization is achievable by exploiting the controllability property of linear systems. The suggested approach is applied to Cellular Neural Networks (CNNs), which can be considered as a tool for generating complex hyperchaotic behaviors. Numerical simulations are carried out for synchronizing CNNs constituted by Chua's circuits.

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