Indirect Adaptive Control Using Neural Network and Discrete Extended Kalman Filter for Wheeled Mobile Robot

Indirect Adaptive Control Using Neural Network and Discrete Extended Kalman Filter for Wheeled Mobile Robot

This paper presents a novel approach to address the challenges associated with the trajectory tracking control of wheeled mobile robots (WMRs). The proposed control approach is based on an indirect adaptive control PID using a neural network and discrete extended Kalman filter (IAPIDNN-DEKF). The pr...

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Bibliographic Details
Main Authors: Mohammed Yousri Silaa, Aissa Bencherif, Oscar Barambones
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Actuators
Subjects:
wheeled mobile robots
trajectory tracking
neural network
indirect adaptive control
indirect adaptive PID
Online Access:https://www.mdpi.com/2076-0825/13/2/51

Internet

https://www.mdpi.com/2076-0825/13/2/51

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