Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76114
Title: Fuzzy tracking control for nonlinear networked systems
Authors: Li, HY
Wu, CW
Jing, XJ 
Wu, LG
Keywords: Interval type-2 (IT2) fuzzy model
Nonlinear networked control systems (NCSs)
Observer-based tracking control
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on cybernetics, 2017, v. 47, no. 8, special issue SI, p. 2020-2031 How to cite?
Journal: IEEE transactions on cybernetics 
Abstract: This paper studies the observer-based tracking control problem for discrete-time nonlinear networked control systems with parameter uncertainties and unmeasurable state variables. A network-induced constraint, i.e., the intermittent measurement loss, is considered in the controller design. The uncertain nonlinear system is described by an interval type-2 (IT2) fuzzy Takagi-Sugeno model, in which the lower and the upper membership functions with corresponding coefficients are used to capture and express uncertainties existing in the system. A premise-variables-independent IT2 fuzzy observer is constructed to estimate the unmeasurable state variables, and then a novel IT2 fuzzy tracking controller is designed. Furthermore, sufficient criteria are established to guarantee the resulting closed-loop system to be stochastically stable. Finally, two examples are provided to show the effectiveness of the proposed approach.
URI: http://hdl.handle.net/10397/76114
ISSN: 2168-2267
EISSN: 2168-2275
DOI: 10.1109/TCYB.2016.2594046
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