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Dual design PID controller for robotic manipulator application
P Chotikunnan, R Chotikunnan - Journal of Robotics and Control …, 2023 - journal.umy.ac.id
Adaptive p control and adaptive fuzzy logic controller with expert system implementation for robotic manipulator application
P Chotikunnan, Y Pititheeraphab - Journal of Robotics and …, 2023 - journal.umy.ac.id
Evaluation of single and dual image object detection through image segmentation using ResNet18 in robotic vision applications
P Chotikunnan, T Puttasakul… - Journal of Robotics …, 2023 - journal.umy.ac.id
Adaptive parallel iterative learning control with a time-varying sign gain approach empowered by expert system
P Chotikunnan, R Chotikunnan… - Journal of Robotics and …, 2024 - journal.umy.ac.id
[PDF][PDF] Time-Varying Sign Gain with Expert System in Serial Iterative Learning Control Architecture
R Chotikunnan, P Chotikunnan… - … Review of Automatic …, 2024 - researchgate.net
This study investigates the integration of time-varying sign gain with an expert system within
the framework of serial iterative learning control architecture. Iterative Learning Control (ILC) …
the framework of serial iterative learning control architecture. Iterative Learning Control (ILC) …
Comparative Analysis of Fuzzy Membership Functions for Step and Smooth Input Tracking in a 3-Axis Robotic Manipulator
P Chotikunnan, R Chotikunnan… - Journal of Fuzzy …, 2025 - ejournal.ptti.web.id
Robotic manipulators are essential in industrial and medical applications, requiring precise
control to improve efficiency and reduce errors. This research looks at how well fuzzy logic …
control to improve efficiency and reduce errors. This research looks at how well fuzzy logic …
Towards Transparent Control Systems: The Role of Explainable AI in Iterative Learning Control
This paper presents a novel approach to improving the performance and interpretability of
Iterative Learning Control (ILC) systems through the integration of Explainable Artificial …
Iterative Learning Control (ILC) systems through the integration of Explainable Artificial …