UKF-Based Neural Training for Nonlinear Systems Identification and Control Improvement

UKF-Based Neural Training for Nonlinear Systems Identification and Control Improvement

Numerous academic works have addressed the identification and control problem for complex dynamic systems. In recent decades, the use of control algorithms based on neural networks (NNs) has been highlighted, which have shown satisfactory results in the trajectory tracking control for a class of dis...

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Bibliographic Details
Main Authors: Juan F. Guerra, Ramon Garcia-Hernandez, Miguel A. Llama, Victor Santibanez
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Unscented Kalman filter
neural networks
trajectory tracking
discrete-time
robot control
Online Access:https://ieeexplore.ieee.org/document/9931684/

Internet

https://ieeexplore.ieee.org/document/9931684/

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