TN Truong, AT Vo, HJ Kang - Neurocomputing, 2023 - Elsevier
In recent years, numerous attempts have been made to integrate sliding mode control (SMC) and neural networks (NN) in order to leverage the advantages of both methods while …
LA Soriano, JJ Rubio, E Orozco, DA Cordova, G Ochoa… - Mathematics, 2021 - mdpi.com
Sliding mode control is a robust technique that is used to overcome difficulties such as parameter variations, unmodeled dynamics, external disturbances, and payload changes in …
Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, as well as manufacturing and industrial production systems can exhibit complex …
The trajectory tracking control of parallel robots is challenging due to their complicated dynamics and kinematics. This paper proposes a position-based visual servoing (PBVS) …
TN Truong, AT Vo, HJ Kang - … Journal of Control, Automation and Systems, 2022 - Springer
In this paper, we design a neural network-based non-singular fast terminal sliding mode control (NFTSMC) for path tracking control of uncertain nonlinear systems (UNSs). The …
AT Vo, HJ Kang - IEEE Access, 2020 - ieeexplore.ieee.org
Robotics have been substituting humans increasingly and effectively to operate repeated, dangerous, heavy, complicated works in human life, production industry, and discovery …
AT Vo, HJ Kang - IEEE Access, 2019 - ieeexplore.ieee.org
This paper reports the design of a control system for a class of general nonlinear second- order systems. The significant problems of singularity and chattering phenomenon, which …
VT Nguyen, CY Lin, SF Su, QV Tran - Asian Journal of Control, 2019 - Wiley Online Library
In this paper, an adaptive chattering free neural network‐based sliding mode control (ACFN‐ SMC) method is proposed for tracking trajectories of redundant parallel manipulators. ACFN …
Featured Application The proposed control method could be applied to not only the joint position tracking control for parallel robotic manipulators but also other mechanical systems …