Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.fss.2011.04.004
Title: Stable adaptive fuzzy PD plus PI controller for nonlinear uncertain systems
Authors: Nie, M.
Tan, W.W. 
Keywords: Adaptive fuzzy system
Nonlinear system
Issue Date: 16-Sep-2011
Citation: Nie, M., Tan, W.W. (2011-09-16). Stable adaptive fuzzy PD plus PI controller for nonlinear uncertain systems. Fuzzy Sets and Systems 179 (1) : 1-19. ScholarBank@NUS Repository. https://doi.org/10.1016/j.fss.2011.04.004
Abstract: This paper presents an improved version of the stable fuzzy adaptive control structure, which comprises an approximation of the ideal controller and a supervisory controller (Wang, 1993 [2]). The proposed adaptive controller cancels the nonlinear function using a fuzzy system, whose inputs are the feedback error signals instead of the state variables. By using the feedback errors as the inputs to the fuzzy system, improved control and disturbance rejection performance may be achieved as the controller is made more sensitive to the presence of tracking errors. Another useful feature of this structure is that the supervisory controller can be designed without the need of prior knowledge about the plant. Furthermore, the computational burden of on-line tuning can be reduced by disabling on-line adaptation without incurring stability problems. The efficiency of the proposed adaptive fuzzy system is demonstrated through simulation studies. © 2011 Elsevier B.V. All rights reserved.
Source Title: Fuzzy Sets and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/57510
ISSN: 01650114
DOI: 10.1016/j.fss.2011.04.004
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