Title: Adaptive backstepping tracking control using self-organizing fuzzy neural network
Authors: Lin, Chih-Min
Hsu, Chun-Fei
Chung, I-Fang
電控工程研究所
Institute of Electrical and Control Engineering
Keywords: adaptive control;backstepping control;robust control;rule generation;rule elimination
Issue Date: 1-Jan-2006
Abstract: This papers proposes an adaptive backstepping tracking control (ABTC) via self-organizing fuzzy neural network (SOFNN) approach. The proposed ABTC system is comprised of a backstepping tracking controller and an L, controller. The backstepping tracking controller containing a SOFNN identifier is the principal controller, and the L, controller is designed to achieve a tracking performance with desired attenuation level. The SOFNN identifier is used to online estimate the system dynamics with structure and parameter learning. Finally, the proposed ABTC is applied to control a chaotic dynamic system. The simulation results verify that the proposed ABTC system can achieve favorable tracking performance by incorporating of neural network approach and adaptive backstepping control technique.
URI: http://hdl.handle.net/11536/146300
Journal: IMECS 2006: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS
Begin Page: 54
Appears in Collections:Conferences Paper