scholarly journals Trajectory Tracking Error Using Fractional Order PID Control Law for Two‐Link Robot Manipulator via Fractional Adaptive Neural Networks

2017 ◽  
Author(s):  
Joel Perez P. ◽  
Jose Paz Perez P. ◽  
Martha S. Lopez de la Fuente
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Trajectory Tracking ◽  
Pid Control ◽  
Robot Manipulator ◽  
Tracking Error ◽  
Control Law ◽  
Adaptive Neural Networks ◽  
Fractional Order Pid

scholarly journals Trajectory Tracking Error Using PID Control Law for Two-Link Robot Manipulator via Adaptive Neural Networks

2012 ◽  
Vol 3 ◽  
pp. 139-146 ◽  
Author(s):  
Joel Perez P. ◽  
Jose P. Perez ◽  
Rogelio Soto ◽  
Angel Flores ◽  
Francisco Rodriguez ◽  
...  
Keyword(s):  
Neural Networks ◽  
Trajectory Tracking ◽  
Pid Control ◽  
Robot Manipulator ◽  
Tracking Error ◽  
Control Law ◽  
Adaptive Neural Networks

scholarly journals Adaptive fractional PID control of biped robots with time-delayed feedback

2019 ◽  
Vol 277 ◽  
pp. 01007 ◽  
Author(s):  
◽  
P Joel Perez ◽  
Jose P. Perez ◽  
Mayra Flores Guerrero ◽  
Ruben Perez P. ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Delay ◽  
Fractional Order ◽  
Degrees Of Freedom ◽  
Tracking Error ◽  
Reference Signal ◽  
Biped Robot ◽  
Control Laws ◽  
Adaptive Neural Networks ◽  
Fractional Order Pid

This paper presents the application of Fractional Order Time- Delay adaptive neural networks to the trajectory tracking for chaos synchronization between Fractional Order delayed plant, reference and Fractional Order Time-Delay adaptive neural networks. The proposed new control scheme is applied via simulations to control of a 4-DOF Biped Robot [1]. The main methodologies, on which the approach is based, are Fractional Order PID the Fractional Order Lyapunov-Krasovskii functions methodology. The structure of the biped robot is designed with two degrees of freedom per leg, corresponding to the knee and hip joints. Since torso and ankle are not considered, it is obtained a 4-DOF system, and each leg, we try to force this biped robot to track a reference signal given by undamped Duffing equation. The tracking error is globally asymptotically stabilized by two control laws derived based on a Lyapunov-Krasovski functional.

Fractional Complex Dynamical Systems for Trajectory Tracking using Fractional Neural Network via Fractional Order PID Control Law

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Joel Perez Padron ◽  
Jose P. Perez ◽  
Cesar Fernando Mendez Barrios ◽  
Emilio J. González Galván
Keyword(s):  
Neural Network ◽  
Dynamical Systems ◽  
Fractional Order ◽  
Trajectory Tracking ◽  
Pid Control ◽  
Control Law ◽  
Complex Dynamical Systems ◽  
Fractional Order Pid

Fractional Complex Dynamical Systems for Trajectory Tracking using Fractional Neural Network via Fractional Order PID Control Law

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Joel Perez Padron ◽  
Jose P. Perez ◽  
Cesar Fernando Mendez Barrios ◽  
Emilio J. González Galván
Keyword(s):  
Neural Network ◽  
Dynamical Systems ◽  
Fractional Order ◽  
Trajectory Tracking ◽  
Pid Control ◽  
Control Law ◽  
Complex Dynamical Systems ◽  
Fractional Order Pid

Stabilizing and Trajectory Tracking of Inverted Pendulum Based on Fractional Order PID Control

2020 ◽  
pp. 338-346 ◽  
Author(s):  
Akshaya Kumar Patra ◽  
Alok Kumar Mishra ◽  
Anuja Nanda ◽  
Dillip Kumar Subudhi ◽  
Ramachandra Agrawal ◽  
...  
Keyword(s):  
Fractional Order ◽  
Trajectory Tracking ◽  
Pid Control ◽  
Inverted Pendulum ◽  
Fractional Order Pid
Sign in / Sign up

Export Citation Format

Share Document