Layer-recurrent network in identifying a nonlinear system

Layer-recurrent network in identifying a nonlinear system

Layer-Recurrent Network (LRN) is a dynamic neural network and is seen as a promising black box model in identifying a nonlinear system injected with nonlinear input signal. In this paper, LRN will be used to identify a nonlinear, state space 3-axis satellite model. Open loop identification is applie...

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Bibliographic Details
Main Authors: Nordin F.H., Nagi F.H.
Other Authors: 25930510500
Format: Conference paper
Published: 2023
Subjects:
Layer-Recurrent Network (LRN)
Nonlinear input
Nonlinear system identification
Satellite attitude
Mathematical models
Metropolitan area networks
Navigation
Neural networks
Nonlinear systems
Satellites
Black box models
Dynamic Neural networks
Input and outputs
Mean-squared values
Open loop identifications
Prior knowledges
Recurrent networks
Satellite dynamics
Satellite models
Simulated datums
State Space models
State spaces
Identification (control systems)
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