Name
Title | ||
|---|---|---|
Component-based dynamic event-triggered control for nonlinear singularly perturbed systems: A gain-scheduling method |
Abstract | ||
|---|---|---|
This study deals with component-based dynamic event-triggered control for nonlinear singularly perturbed systems with actuator faults. To mitigate the burden of data communication and improve the efficiency of information exchange, a component-based dynamic-event-triggered mechanism was established, whose triggering thresholds changed with individual sensor nodes. Under the framework of the component-based dynamic-event-triggered mechanism, the controller received separately triggering instants of each sensor node. A nonhomogeneous actuator fault was applied, whose transition probabilities were time-varying and resided in a polytope set. Based on a gain-scheduling technique and the parameter-dependent Lyapunov functional, sufficient conditions were achieved to guarantee the stochastic stability of a closed-loop system. Finally, the effectiveness and applicability of the derived results were verified using a numerical example and a tunnel diode circuit model. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ins.2022.01.069 | Information Sciences |
Keywords | DocType | Volume |
Dynamic event-triggered control,T-S fuzzy model,Nonhomogeneous Markov process,Singularly perturbed system | Journal | 593 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hailing Wang | 1 | 0 | 0.34 |
| Jun Cheng | 2 | 536 | 43.22 |
| Huaicheng Yan | 3 | 0 | 0.34 |
| Kaibo Shi | 4 | 0 | 0.34 |
| Wenhai Qi | 5 | 37 | 9.60 |