Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 52, Issue 6, Pages 5311-5321Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.3030028
Keywords
Denial-of-service (DoS) attacks; event-triggered mechanism (ETM); fuzzy filter design; multisensor fusion
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Funding
- National Natural Science Foundation of China [62022044]
- Jiangsu Natural Science Foundation for Distinguished Young Scholars [BK20190039]
- National Research Foundation of Korea (NRF) - Korea Government (Ministry of Science and ICT) [NRF-2020R1A2C1005449]
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This article focuses on the problem of resilient H-infinity filtering for Takagi-Sugeno fuzzy-model-based nonlinear networked systems with multisensors. A weighted fusion approach and a novel event-triggered mechanism are adopted, and the problem of denial-of-service attacks is also considered. Simulation results demonstrate the effectiveness of the theoretical analysis and design method.
This article focuses on the problem of resilient H-infinity filtering for Takagi-Sugeno fuzzy-model-based nonlinear networked systems with multisensors. A weighted fusion approach is adopted before information from multisensors is transmitted over the network. A novel event-triggered mechanism is proposed, which allows us not only to reduce the data-releasing rate but also to prevent abnormal data being potentially transmitted over the network due to sensor measurement or other practical factors. The problem of denial-of-service (DoS) attacks, which often occurs in a communication network, is also considered, where the DoS attack model is based on an assumption that the periodic attack includes active periods and sleeping periods. By employing the idea of the switching model for filtering error systems to deal with DoS attacks, sufficient conditions are derived to guarantee that the filtering error system is exponentially stable. Simulation results are given to demonstrate the effectiveness of the theoretical analysis and design method.
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