Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/111284
Title: Self-tuning adaptive resolution (STAR) fuzzy control algorithm
Authors: Lui, Ho Chung 
Gu, Ming Kun 
Goh, Tiong Hwee 
Wang, Pei Zhuang 
Issue Date: 1994
Citation: Lui, Ho Chung,Gu, Ming Kun,Goh, Tiong Hwee,Wang, Pei Zhuang (1994). Self-tuning adaptive resolution (STAR) fuzzy control algorithm. IEEE International Conference on Fuzzy Systems 3 : 1508-1513. ScholarBank@NUS Repository.
Abstract: A novel Self-Tuning Adaptive Resolution (STAR) fuzzy control algorithm is introduced in this paper. One of the unique features is that the fuzzy linguistic concepts change constantly in response to the states of input signals. This is achieved by modifying the corresponding membership functions. We use this adaptive resolution capability to realize a control strategy that attempts to minimize both the rise time and the overshoot. Simulation results on a simple inverted pendulum problem are presented. Its characteristics are compared with the classical PD controller. Finally, the algorithm is also realized to control a real inverted pendulum hardware. Experimental results show that the STAR controller is both robust and can minimize positional error with drastically reduced overshoot.
Source Title: IEEE International Conference on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/111284
Appears in Collections:Staff Publications

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