Name
Title | ||
|---|---|---|
Saturation control for fuzzy markovian switching systems with singularly perturbation and cyber-attacks |
Abstract | ||
|---|---|---|
This paper is concerned with the issue of saturation control for discrete-time fuzzy Markov switching singularly perturbed systems. To describe the dynamic stochastic jumping behavior of system states, a novel nonhomogeneous Markov process is proposed, whose time-varying transition probabilities are orchestrated by a higher-level deterministic switching signal. Additionally, a novel control law is built by considering the random occurrence of cyber-attacks, and cyber-attacks rates are uncertain. Meanwhile, the saturation mechanism is adopted in designing an asynchronous controller, which is capable of eliminating the impact of cyber-attacks to a certain extent. In the end, two simulation results are provided to verify the effectiveness of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.ins.2022.07.088 | Information Sciences |
Keywords | DocType | Volume |
Singularly perturbed systems,Nonhomogeneous Markov process,Saturation mechanism,Cyber-attacks | Journal | 609 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shan Liu | 1 | 0 | 0.34 |
| Jun Cheng | 2 | 536 | 43.22 |
| Dan Zhang | 3 | 3 | 0.71 |
| Huaicheng Yan | 4 | 0 | 0.34 |
| Ju H. Park | 5 | 5878 | 330.37 |