Study on a combined scheme by using T-S fuzzy and TSMC approaches

Sendren Sheng Dong Xu, Yew Wen Liang, Kuo Chin Wang, Chih-Chiang Chen

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
頁面38-44
頁數7
DOIs
出版狀態Published - 2013 十月 28
事件2013 3rd IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
持續時間: 2013 四月 162013 四月 19

出版系列

名字Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Other

Other2013 3rd IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
國家/地區Singapore
城市Singapore
期間13-04-1613-04-19

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦科學應用

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