Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6959672 | Signal Processing | 2015 | 11 Pages |
Abstract
This paper investigates the issue of distributed Hâ consensus filtering in mobile sensor networks where the transmission of each sensor is triggered by an event. For each node, the event triggering mechanism is given by an event-based data processor (EDP), which determines whether to transmit the sampled-data or not. The event-based filter at each node is built on the sampled data of this sensor and those received from its neighbors. The distributed event-triggered Hâ consensus filtering problem is solved by transforming it into the Hâ stability problem of an error system with an interval time-varying delay. The solution to the latter problem is derived by introducing a new event-based bounded real lemma (EBRL) using Lyapunov-Krasovskii approach. A unified co-design algorithm for the filter gains and the threshold parameters in the event conditions are finally given. The effectiveness of the algorithm is illustrated by a numerical example.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Lei Ding, Ge Guo,