Name
Title | ||
|---|---|---|
Event-triggered boundary feedback control for networked reaction-subdiffusion processes with input uncertainties. |
Abstract | ||
|---|---|---|
•Both state and output event-triggered boundary feedback controllers to asymptotically stabilize the networked reaction-subdiffusion processes governed by time fractional diffusion systems with unknown time-varying input uncertainties over sensor/actuator networks are designed.•An extended Luenberger observer that embeds within the networked sensor to estimate the whole states of the studied systems for event-triggered boundary output feedback control is proposed.•It is shown that both two designed strategies own a positive lower bounded minimum inter-event time that avoids the occurrence of Zeno phenomenon. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ins.2018.10.023 | Information Sciences |
Keywords | Field | DocType |
Networked reaction-subdiffusion processes,Time fractional reaction-diffusion systems,Event-triggered control,Input uncertainties,Backstepping | State observer,Zeno's paradoxes,Backstepping,Full state feedback,Control theory,Event triggered,Artificial intelligence,Machine learning,Mathematics,Actuator | Journal |
Volume | ISSN | Citations |
476 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 19 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fudong Ge | 1 | 13 | 5.66 |
| Yangquan Chen | 2 | 2257 | 242.16 |