Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6865468 | Neurocomputing | 2016 | 24 Pages |
Abstract
This paper deals with the reliable Hâ-based filtering problem of nonlinear networked control systems in the presence of external disturbances and random sensor faults. More precisely, a random variable obeying the Bernoulli distribution is adopted to describe the failures of the network sensors. By employing the Lyapunov-Krasovskii functional method, delay-dependent criteria are developed to guarantee the existence of the designed filter with the prescribed Hâ performance. Then, a design method is given to calculate the desired reliable filter parameters. An illustrative example is provided to demonstrate the effectiveness and usefulness of the established theoretical results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Aichuan Li, Shujuan Yi, Xi Wang,