Disturbance rejection for Yaw model.

Disturbance rejection for Yaw model.

<div><p>This paper suggests a novel optimal inverse Radial Basis Function (RBF) neural network model for the control of Twin Rotor Aerodynamic Systems (TRAS), such as Multi-Input–Multi-Output (MIMO) systems with high nonlinearity and coupling effects between channels. After analyzing and...

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Bibliographic Details
Main Author: Ahmad Al-Talabi (21387479) (author)
Other Authors: Taqwa Oday Fahad (21387482) (author), Aqeel Abdulazeez Mohammed (21387485) (author), Ali Hussien Mary (21387488) (author)
Published: 2025
Subjects:
Neuroscience
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
thereby creating vertical
slower rise time
simulation results showed
proportional derivative controller
particle swarm optimization
integral performance indices
faster settling time
faster rise time
neural network model
input &# 8211
yaw model shows
pitch model exhibits
fractional order pid
yaw model
pitch model
input voltage
dynamic model
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unknown parameters
paper suggests
notably reduced
modeled using
lower overshoot
inverse modeling
high nonlinearity
gaussian function
different conditions
coupling effects
aso ).
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