Article ID Journal Published Year Pages File Type
6865468 Neurocomputing 2016 24 Pages PDF
Abstract
This paper deals with the reliable H∞-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 H∞ 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.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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