Name
Title | ||
|---|---|---|
Reliable control for event-triggered singular Markov jump systems with partly unknown transition probabilities and actuator faults. |
Abstract | ||
|---|---|---|
In this paper, the problem of reliable controller design for event-triggered singular Markov jump systems with partly known transition probabilities, nonlinear perturbations and actuator faults is studied. To mitigate the burden of data transmissions over network, two event-triggered schemes with different triggering conditions are introduced. The switch law between the two event-triggered schemes is governed by a random variable with Bernoulli distribution. Taking nonlinear perturbations and actuator faults into account, the resulting closed-loop system is converted into a time-delay singular Markov jump system with partly known transition probabilities. Sufficient conditions of stochastically admissible for the resulting closed-loop system are obtained in terms of a group of linear matrix inequalities. The co-design of desirable reliable controller and weighting matrices of event-triggered schemes is presented. Finally, two numerical examples are given to show the effectiveness of the developed results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jfranklin.2019.01.008 | Journal of the Franklin Institute |
Field | DocType | Volume |
Bernoulli distribution,Control theory,Random variable,Weighting,Control theory,Matrix (mathematics),Markov chain,Jump,Mathematics,Actuator | Journal | 356 |
Issue | ISSN | Citations |
4 | 0016-0032 | 0 |
PageRank | References | Authors |
0.34 | 23 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanqian Wang | 1 | 18 | 4.99 |
| Qiaochu An | 2 | 0 | 0.34 |
| Ruihua Wang | 3 | 11 | 2.96 |
| Shuyu Zhang | 4 | 14 | 4.74 |