TY - GEN
T1 - Study on a combined scheme by using T-S fuzzy and TSMC approaches
AU - Xu, Sendren Sheng Dong
AU - Liang, Yew Wen
AU - Wang, Kuo Chin
AU - Chen, Chih Chiang
PY - 2013
Y1 - 2013
N2 - This study investigates the hybrid design by using the Takagi-Sugeno (T-S) fuzzy system modeling method and the Terminal Sliding Mode Control (TSMC) technique. The combined scheme is shown to have the merits of both approaches. The presented scheme can alleviate the on-line computational burden because T-S fuzzy model can approximate the original nonlinear system and some of the parameters can be off-line computed. Moreover, it can also preserve the advantages of TSMC, including rapid response, robustness to uncertainties and/or external disturbance, and guaranteeing the fast finite-time state convergence. The proposed method is applied to a two-link robot manipulator dynamics, and it is also compared to the combination of T-S fuzzy system and conventional Sliding Mode Control (SMC) design. Simulation results demonstrate the benefits of the proposed scheme.
AB - This study investigates the hybrid design by using the Takagi-Sugeno (T-S) fuzzy system modeling method and the Terminal Sliding Mode Control (TSMC) technique. The combined scheme is shown to have the merits of both approaches. The presented scheme can alleviate the on-line computational burden because T-S fuzzy model can approximate the original nonlinear system and some of the parameters can be off-line computed. Moreover, it can also preserve the advantages of TSMC, including rapid response, robustness to uncertainties and/or external disturbance, and guaranteeing the fast finite-time state convergence. The proposed method is applied to a two-link robot manipulator dynamics, and it is also compared to the combination of T-S fuzzy system and conventional Sliding Mode Control (SMC) design. Simulation results demonstrate the benefits of the proposed scheme.
UR - http://www.scopus.com/inward/record.url?scp=84886063609&partnerID=8YFLogxK
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U2 - 10.1109/CICA.2013.6611661
DO - 10.1109/CICA.2013.6611661
M3 - Conference contribution
AN - SCOPUS:84886063609
SN - 9781467358934
T3 - Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
SP - 38
EP - 44
BT - Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
T2 - 2013 3rd IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Y2 - 16 April 2013 through 19 April 2013
ER -