Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943938 | Fuzzy Sets and Systems | 2017 | 17 Pages |
Abstract
In this paper, a sampled-data Hâ fuzzy filtering problem is considered for nonlinear systems with missing measurements. The nonlinear sampled-data system and missing measurements are assumed to be represented by a Takagi-Sugeno (T-S) fuzzy system and an independent, identically distributed Bernoulli random process, respectively. Based on the fuzzy system, the Hâ fuzzy filtering problem is formulated to design the sampled-data fuzzy filter. By using the exponential mean-square stability definition, the stability condition with an Hâ performance is guaranteed for the fuzzy system with the sampled-data fuzzy filter, and its sufficient condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed fuzzy filtering technique.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Geun Bum Koo, Jin Bae Park, Young Hoon Joo,