A performance evaluation of repetitive and iterative learning algorithms for periodic tracking control of functional electrical stimulation system
Functional electrical stimulation (FES) is a medical device that delivers electrical pulses to
the muscle, allowing patients with spinal cord injuries to perform activities such as walking …
the muscle, allowing patients with spinal cord injuries to perform activities such as walking …
Data-Driven LightGBM Controller for Robotic Manipulator
D Mahayana - IEEE Access, 2024 - ieeexplore.ieee.org
This paper introduces a data-driven approach employing the Light Gradient Boosting
Machine (LightGBM) algorithm as a controller for robotic manipulators. By harnessing data …
Machine (LightGBM) algorithm as a controller for robotic manipulators. By harnessing data …
Robust Adaptive Iterative Learning Control for De-Icing Robot Manipulator
TQ Ngo, TH Tran - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
This paper introduces a new method of controlling uncertain robot using robust adaptive
iterative learning control (RAILC) to track the trajectory in iterative operation mode. This …
iterative learning control (RAILC) to track the trajectory in iterative operation mode. This …
Characterization of core researches on Iterative Learning of Robot: a bibliometric analysis
X Chen, Y Zhang, B Xie, T Zhou, S Liu… - 2023 8th International …, 2024 - ieeexplore.ieee.org
Iterative learning control (ILC) was an excellent control strategy to accomplish repetitive or
tracking operation for robots. When technicians design and develop the practical product of …
tracking operation for robots. When technicians design and develop the practical product of …
Iterative Learning Control for High Relative Degree Discrete-Time Systems with Random Initial Shifts.
D Chen, T Lu, Z Yin - International Journal of Advanced …, 2023 - search.ebscohost.com
In this paper, an iterative learning control (ILC) strategy under compression mapping
framework is presented for high relative degree discrete-time systems with random initial …
framework is presented for high relative degree discrete-time systems with random initial …