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Title: Recursive back-stepping design of an adaptive fuzzy controller for strict output feedback nonlinear systems
Authors: 國立臺灣師範大學電機工程學系
W.-Y. Wang
M.-L. Chan
T.-T. Lee
C.-H. Liu
Issue Date: 1-Sep-2002
Publisher: ACA (Asian Control Association) and CACS (Chinese Automatic Control Society)�
Abstract: In this paper, a back-stepping adaptive fuzzy controller is proposed for strict output feedback nonlinear systems. The unknown nonlinearity and external disturbances of such systems are considered. We assume that only the output of the system is available for measurement. As a result, two filters are constructed to estimate the states of strict output feedback systems. Since fuzzy systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory combined with a tuning function scheme is developed to derive the control laws of strict output feedback systems that possess unknown functions. Moreover, the H∞ performance condition is introduced to attenuate the effect of the modeling error and external disturbances. Finally, an example is simulated in order to confirm the applicability of the proposed method.
ISSN: 1561-8625
Other Identifiers: ntnulib_tp_E0604_01_041
Appears in Collections:教師著作

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