Layer-recurrent network in identifying a nonlinear system

• 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)

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...