Tracking of periodic oscillations in an underactuated system via adaptive neural networks
In this paper, the tracking control of periodic oscillations in an underactuated mechanical system is discussed. The proposed scheme is derived from the feedback linearization control technique and adaptive neural networks are used to estimate the unknown dynamics and to compensate uncertainties. Th...
Main Authors: | Sergio A Puga-Guzmán, Carlos Aguilar-Avelar, Javier Moreno-Valenzuela, Víctor Santibáñez |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2018-03-01
|
Series: | Journal of Low Frequency Noise, Vibration and Active Control |
Online Access: | https://doi.org/10.1177/1461348417752988 |
Similar Items
-
Trajectory tracking control of a self-balancing robot via adaptive neural networks
by: Isaac Gandarilla, et al.
Published: (2022-11-01) -
Finite time trajectory tracking of underactuated ship based on adaptive neural network
by: Qiang ZHANG, et al.
Published: (2022-08-01) -
Combined adaptive neural network and regressor‐based trajectory tracking control of flexible joint robots
by: Jorge Montoya‐Cháirez, et al.
Published: (2022-01-01) -
Event-Triggered Adaptive Neural Network Trajectory Tracking Control For Underactuated Ships Under Uncertain Disturbance
by: Su Wenxue, et al.
Published: (2023-09-01) -
Optimal tracking control for underactuated airship
by: Mohamed Atyya, et al.
Published: (2024-01-01)