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Research Article

Distributed filtering for delayed nonlinear system with random sensor saturation: a dynamic event-triggered approach

, ORCID Icon &
Pages 440-454 | Received 02 Jan 2021, Accepted 17 Apr 2021, Published online: 14 May 2021

Figures & data

Figure 1. Triggered instants.

Figure 1. Triggered instants.

Figure 2. State xk and its estimate (node 1).

Figure 2. State xk and its estimate (node 1).

Figure 3. State xk and its estimate (node 2).

Figure 3. State xk and its estimate (node 2).

Figure 4. State xk and its estimate (node 3).

Figure 4. State xk and its estimate (node 3).

Figure 5. Event release instants of ETS.

Figure 5. Event release instants of ETS.

Figure 6. Event release instants of DETS.

Figure 6. Event release instants of DETS.

Figure 7. yk with and without RSS for node 1.

Figure 7. yk with and without RSS for node 1.

Figure 8. yk with and without RSS for node 2.

Figure 8. yk with and without RSS for node 2.

Figure 9. yk with and without RSS for node 3.

Figure 9. yk with and without RSS for node 3.

Figure 10. Trace of Pk+1|k+1 and its upper bound Φk+1|k+1.

Figure 10. Trace of Pk+1|k+1 and its upper bound Φk+1|k+1.

Figure 11. Traces of the upper-bound Φk+1|k+1 with different triggered parameters.

Figure 11. Traces of the upper-bound Φk+1|k+1 with different triggered parameters.