Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/31991
Title: Design of Adaptive T-S Fuzzy-Neural Controller for a Class of Robot Manipulators Using Projection Update Laws
Authors: 國立臺灣師範大學電機工程學系
Y.-H. Chien
W.-Y. Wang
T.-T. Lee
Issue Date: 13-Oct-2010
Abstract: An on-line tracking controller design based on using T-S fuzzy-neural modeling for a class of general robot manipulators is investigated in this paper. Also, we use rojection update laws to tune adjustable parameters for preventing parameters drift. In addition, stability of the closed-loop systems is proven by using strictly-positive-real (SPR) Lyapunov theory. The proposed overall scheme guarantees that all signals involved are bounded and the outputs of the closed-loop system asymptotically track the desired output trajectories. Finally, an example including two cases confirms the effectiveness of the proposed method.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/31991
Other Identifiers: ntnulib_tp_E0604_02_014
Appears in Collections:教師著作

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