Name
Title | ||
|---|---|---|
Quantized Stabilization for T-S Fuzzy Systems With Hybrid-Triggered Mechanism and Stochastic Cyber-Attacks. |
Abstract | ||
|---|---|---|
This paper examines quantized stabilization for Takagi-Sugeno (T-S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of the network. By taking the effect of the hybrid-triggered scheme and stochastic cyber-attacks into consideration, a mathematical model for a close... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2018.2849702 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Fuzzy systems,Quantization (signal),Stochastic processes,Symmetric matrices,Mathematical model,Control systems,Nonlinear systems | Bernoulli distribution,Control theory,Control theory,Stochastic process,Lyapunov stability,Control system,Fuzzy control system,Quantization (signal processing),Linear matrix inequality,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 6 | 1063-6706 |
Citations | PageRank | References |
13 | 0.46 | 27 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinliang Liu | 1 | 281 | 17.31 |
| Lili Wei | 2 | 197 | 15.51 |
| Xiang-Peng Xie | 3 | 860 | 54.50 |
| Engang Tian | 4 | 1219 | 57.80 |
| Shu-Min Fei | 5 | 1150 | 96.93 |