文献类型：期刊文献

英文题名：Dissipative Estimating for Nonlinear Markov Systems With Protocol-Based Deception Attacks and Measurement Quantization

作者：Wu, Yuyan[1];Yan, Huaicheng[1,2];Wang, Meng[1];Li, Zhichen[1];Cheng, Jun[3]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Weifang Univ, Coll Machinery & Automat, Weifang 261061, Peoples R China;[3]Guangxi Normal Univ, Coll Math & Stat, Guilin 541006, Peoples R China

年份：2025

卷号：55

期号：4

起止页码：1731

外文期刊名：IEEE TRANSACTIONS ON CYBERNETICS

收录：;EI(收录号：20250917937688);WOS:【SCI-EXPANDED(收录号:WOS:001449682000018)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62333005 and Grant 62073143;in part by the Innovation Program of Shanghai Municipal Education Commission under Grant 2021-01-07-00-02-E00105; and in part by the Shanghai International Science and Technology Cooperation Project under Grant 24510714000.

语种：英文

外文关键词：Hidden Markov models; Sensors; Quantization (signal); Uncertainty; Protocols; Electronic mail; Symmetric matrices; Symbols; Smart manufacturing; Power system stability; Dynamic quantization; hidden Markov model (HMM); Markov jump systems; protocol-based deception attacks

摘要：This article investigates the asynchronous estimator design for the interval type-2interval type-2 (IT2) fuzzy Markov jump systems subject to dynamic quantization and deception attacks. From the perspective of the attacker, a novel protocol-based deception attackdeception attack (DA) strategy is proposed, which utilizes the information of quantized output to assess the importance degree of transmission signals. Furthermore, in order to conserve the limited energy of the adversary, the independent attack strategies are designed for different sensors. Besides, the hidden Markov modelhidden Markov model (HMM) is applied to observe the system mode. Employing the Lyapunov stability theory and linear matrix inequality method, the sufficient conditions are acquired to guarantee the strictly-dissipative performance of the estimation error. Finally, two examples are illustrated to confirm the efficacy of the designed estimator and the advantage of the proposed attack tactics.