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Fuzzy Tracking Control for Nonlinear Networked Systems
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DOI：10.1109/TCYB.2016.2594046.png)
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摘要
En 中文
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.
Keyword:
Interval type-2 (IT2) fuzzy model
nonlinear networked control systems (NCSs)
observer-based tracking control
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期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
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