Filtering for Systems with Sensor Nonlinearities and Data Losses: An Interval Type-2 Fuzzy-Model-Based Method

This paper focuses on designing H∞ filter for networked nonlinear systems subject to sensor saturations and packet dropouts. To capture the system uncertainties effectively, an interval type-2 (IT2) fuzzy model approach is applied. When the sensor outputs are lost during the transmission through the network links, the redundant channels are adopted to reduce the negative effect of packet dropouts. An IT2 filter is designed, where the membership functions and the number of fuzzy rules need not as the same as those of the plant, such that the filtering error system is guaranteed to be stochastically stable with prescribed H∞ performance. Finally, an example is utilized to illustrate the effectiveness of the algorithm.