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.

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}
}