A neural network computation algorithm for discrete-time linear system state estimation

2003 ◽  
Author(s):  
Q. Sun ◽  
A.T. Alouani ◽  
T.R. Rice ◽  
J.E. Gray
Keyword(s):  
Neural Network ◽  
Linear System ◽  
State Estimation ◽  
Discrete Time ◽  
System State ◽  
Computation Algorithm ◽  
Time Linear

scholarly journals A new approach to constrained state estimation for discrete-time linear systems with unknown inputs

2017 ◽  
Vol 28 (1) ◽  
pp. 326-341 ◽  
Author(s):  
Jose Fernando Garcia Tirado ◽  
Alejandro Marquez-Ruiz ◽  
Hector Botero Castro ◽  
Fabiola Angulo
Keyword(s):  
State Estimation ◽  
Linear Systems ◽  
Discrete Time ◽  
New Approach ◽  
Unknown Inputs ◽  
Time Linear

scholarly journals DC/DC Boost Converter Controller

2018 ◽  
Vol 3 (3) ◽  
pp. 53-59 ◽  
Author(s):  
José Ferreira
Keyword(s):  
Linear System ◽  
Output Voltage ◽  
Voltage Regulation ◽  
Boost Converter ◽  
System Stability ◽  
Comparative Approach ◽  
System State ◽  
And Performance ◽  
Time Linear ◽  
Variant System

The DC/DC boost converter is described as a time variant system. State-Space is one of the methods used to approach a time variant system to an invariant time linear system. The present document focuses on a comparative approach of output voltage regulation and system stability and performance. For this document, there were made MatLab tests of PI and PD controllers, with and without fuzzy control.

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