| Autor: |
Xiaohua Zhang, Huaxiang Han |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 12, Pp 1308-1320 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2023.3342015 |
| Popis: |
This paper concerns with the finite-time filter design problem for discrete-time nonlinear networked system subject to quantization effect and denial-of-service (DoS) attacks via dynamic event-triggered scheme (DETS). The nonlinear networked system is presented by Takagi-Sugeno (T-S) fuzzy model. The dynamic event-triggered generator and logarithmic quantizer are employed to save the limited network bandwidth. A stochastic Bernoulli distribution variable is used to characterize the effect of the randomly occurring DoS attacks in communication channel. By a generalized performance index, the finite-time $H_{\infty} $ filtering and $l_{2}-l_{\infty} $ filtering problem are accessed under a unified framework. The filtering error model is well established by taking event-triggered scheme, logarithmic quantization, and DoS attacks into account. The sufficient conditions for the existence of an acceptable filter are derived such that the filtering error system is finite-time stochastic bounded with the prescribed $H_{\infty} $ or $l_{2}-l_{\infty} $ performance. The filter gains and the event-triggered communication parameter are co-designed by solving these inequality sufficient conditions. Finally, a simulation study is performed to demonstrate the effectiveness of the proposed approach. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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