Name
Abstract | ||
|---|---|---|
In this paper, the quantization level based event-triggered control algorithm is novelly proposed and stability of the considered system could be guaranteed on account of hysteresis quantizer under measurement uncertainties. By carefully exploring the characteristics of nonlinear networked control systems, hysteresis quantizer is selected to avoid potential chatterings caused by frequent quantization level transitions. Two kinds of situations, one is networked control system without considering measurement uncertainties, and the other takes measurement uncertainties into consideration, are separately discussed under the quantization level based event-triggered control framework. By thoroughly digging out the relationship between quantizer structure and event-triggered control mechanism, two quantization level based event-triggered control mechanisms are put forward under different situations. Moreover, no matter whether measurement uncertainties are taken into account, system stability could always be guaranteed by our proposed criteria and Zeno behavior would never happen with our method. Finally, simulations show the feasibility and superiority of our proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ins.2021.12.099 | Information Sciences |
Keywords | DocType | Volume |
Hysteresis quantizer,Event-triggered control,Measurement uncertainties,Stability analysis,Networked control system | Journal | 588 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianwei Zhou | 1 | 0 | 0.34 |
| Guanghui Yue | 2 | 0 | 0.34 |
| Ben Niu | 3 | 235 | 44.62 |