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DOI: 10.14569/IJACSA.2019.0100306
PDF

Robust Recurrent Cerebellar Model Articulation Controller for Non-Linear MIMO Systems

Author 1: Xuan-Kien Dang
Author 2: Van-Phuong Ta

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 3, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: This research proposes a robust recurrent cerebellar model articulation control system (RRCMACS) for MIMO non-linear systems to achieve the robustness of the system during operation. In this system, the superior properties of the recurrent cerebellar model articulation controller (RCMAC) are incorporated to imitate an ideal sliding mode controller. The robust controller efficiently attenuates the effects of uncertainties, external disturbances, and noises to maintain the robustness of the system. The parameters of the controller were updated in the sense of the Lyapunov-like Lemma theory. Therefore, the stability and robustness of the system were guaranteed. The simulation results for the micro-motion stage system are given to prove the effectiveness and applicability of the proposed control system for model-free non-linear systems.

Keywords: Robust controller; MIMO non-linear systems; linear piezoelectric motor (LPM); recurrent network; Cerebellar model articulation controller

Xuan-Kien Dang and Van-Phuong Ta, “Robust Recurrent Cerebellar Model Articulation Controller for Non-Linear MIMO Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 10(3), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100306

@article{Dang2019,
title = {Robust Recurrent Cerebellar Model Articulation Controller for Non-Linear MIMO Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100306},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100306},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {3},
author = {Xuan-Kien Dang and Van-Phuong Ta}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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