Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/36901
Title: A self-organizing decentralized fuzzy neural net controller
Authors: 國立臺灣師範大學機電工程學系
Yeh, Zong-Mu
Chen, Hung-Pin
Issue Date: 20-Mar-1995
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract: This paper presents a self-organizing decentralized learning controller using fuzzy control and neurocontrol for large-scale nonlinear systems. A new online unsupervised learning method which is based on a performance index of sliding mode control is used to train the fuzzy neural net controller to obtain control actions. To overcome the interactions between the subsystems, a learning algorithm is adopted to modify the control input to improve the system performance. The effectiveness and the performance of the proposed approach are illustrated by the simulation results of a two-inverted pendulum system and a two-link manipulator. The attractive features also include a smaller residual error and robustness against nonlinear interactions.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/36901
ISBN: 0-7803-2461-7
Other Identifiers: ntnulib_tp_E0402_02_009
Appears in Collections:教師著作

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