In this paper, the problem of fuzzy filter design is investigated for a class of nonlinear networked systems on the basis of the interval type-2 (IT2) fuzzy set theory. In the design process, two vital factors, intermittent data packet dropouts and quantization, are taken into consideration. The parameter uncertainties are handled effectively by the IT2 membership functions determined by lower and upper membership functions and relative weighting functions. A novel fuzzy filter is designed to guarantee the error system to be stochastically stable with H∞ performance. Moreover, the filter does not need to share the same membership functions and number of fuzzy rules as those of the plant. Finally, illustrative examples are provided to illustrate the effectiveness of the method proposed in this paper.
Filtering of Interval Type-2 Fuzzy Systems With Intermittent Measurements
01.03.2016
Li , H , Wu , C , Wu , L , Lam , H K & Gao , Y 2016 , ' Filtering of Interval Type-2 Fuzzy Systems With Intermittent Measurements ' , IEEE Transactions on Cybernetics , vol. 46 , no. 3 , pp. 668-678 . https://doi.org/10.1109/TCYB.2015.2413134
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Cybernetics , fuzzy set theory , fuzzy systems , intermittent data packet dropouts , quantization , filter design , fuzzy rules , interval type-2 fuzzy system filtering , H∞ filters , fuzzy filter design , IT2 membership function , Uncertainty , stability , stochastic systems , Data packet dropouts , uncertain systems , interval type-2 (IT2) fuzzy systems , parameter uncertainties , Quantization (signal) , H∞ performance , Stability analysis , interval type-2 fuzzy set theory , Symmetric matrices , stochastic stability , nonlinear systems , nonlinear networked systems , IT2 fuzzy set theory , relative weighting function , networked control systems , intermittent measurement , nonlinear networked system
DDC: | 629 |
IEEE | 1997
|Online Contents | 1997
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