Please use this identifier to cite or link to this item:
|Title:||Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach|
|Keywords:||Adaptive fuzzy control|
fuzzy logic systems
|Source:||Chen, B.,Liu, X.P.,Ge, S.S.,Lin, C. (2012). Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach. IEEE Transactions on Fuzzy Systems 20 (6) : 1012-1021. ScholarBank@NUS Repository. https://doi.org/10.1109/TFUZZ.2012.2190048|
|Abstract:||Controlling nonstrict-feedback nonlinear systems is a challenging problem in control theory. In this paper, we consider adaptive fuzzy control for a class of nonlinear systems with nonstrict-feedback structure by using fuzzy logic systems. A variable separation approach is developed to overcome the difficulty from the nonstrict-feedback structure. Furthermore, based on fuzzy approximation and backstepping techniques, a state feedback adaptive fuzzy tracking controller is proposed, which guarantees that all of the signals in the closed-loop system are bounded, while the tracking error converges to a small neighborhood of the origin. Simulation studies are included to demonstrate the effectiveness of our results. © 2012 IEEE.|
|Source Title:||IEEE Transactions on Fuzzy Systems|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 5, 2017
WEB OF SCIENCETM
checked on Nov 11, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.