A Study on the Design of Error-Based Adaptive Robust RBF Neural Network Back-Stepping Controller for 2-DOF Snake Robot's Head · Sung-Jae KimMaolin JinJ. Suh.

The Radial Basis Function Neural Network (RBFNN) is a special type of neural network structure that can design an adaptive rate based on the Lyapunov stability ...

Abstract - This present study proposes a design and the analysis of the novel adaptive robust neural networks (ARNNs) based on the backstepping control ...

Oct 11, 2023 · The controller is designed using the backstepping method and system stability is analyzed with Lyapunov stability theory. The results show that ...

May 31, 2024 · A Study on I-PID-Based 2-DOF Snake Robot Head Control Scheme Using RBF Neural Network and Robust Term. Sung-Jae Kim1 ; Jin-Ho Suh. 1Senior ...

Sep 2, 2020 · Back-Stepping Control of Free-Floating Space Robot based on Adaptive Neural Network - Download as a PDF or view online for free.

Please wait, while we are loading the content... Proceedings of the 10th World Congress on Intelligent Control and Automation · 2011 9th ...

Sep 8, 2017 · Index Terms— Adaptive estimation law, adaptive neural network (NN) control, prescribed performance constraint (PPC), two-degree-of-freedom. (Two ...

... 2-DOF snake robot's head system. We designed ... The update law of the neural network and the adaptive robust term is designed based on Lyapunov's theory.

Multidesign Integration Based Adaptive Actuator Failure Compensation Control for Two Linked 2WD Mobile Robots. Author; Keywords. Yajie Ma. Actuator failure ...