Secure Observer-Based $H_{\infty }$ Synchronization for Singularly Perturbed Multiweighted Complex Networks With Stochastic Communication Protocol

IF 3 3区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Yan Li;Min Gao;Lijuan Zha;Jinliang Liu;Engang Tian;Chen Peng
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Abstract

This paper addresses the problem of observer-based $H_{\infty }$ synchronization control for singularly perturbed multiweighted complex networks (SPMCNs) with communication constraints and cyberattack threats. Firstly, given the limited communication bandwidth, a stochastic communication (SC) protocol is employed to deal with the potential data collision in each node of SPMCNs incurred by the mismatch between traffic load and resource availability. The SC protocol is specifically depicted by a Markov chain with partially known transition probabilities to improve its applicability. Then, the cybersecurity for SPMCNs is investigated, and the focus is concentrated on deception attacks due to they pose significant risks by maliciously tampering with sensitive information. Based on modeling the behavior of the considered deception attacks, observer-assisted synchronization controllers with undetermined gains are designed and an augmented synchronization error system is established. Subsequently, the stability with guaranteed $H_{\infty }$ control performance of the constructed system is analyzed, and then a feasible algorithm for determining the gains of the desired observers and controllers is provided. Finally, simulations are conducted based on an urban public traffic network to validate the efficiency and practicability of the proposed synchronization control scheme.
基于安全观测器的随机通信协议奇摄动多加权复杂网络$H_{\infty }$同步
研究了具有通信约束和网络攻击威胁的奇异摄动多加权复杂网络(spmcn)的基于观测器的$H_{\infty }$同步控制问题。首先,在通信带宽有限的情况下,采用随机通信(SC)协议来处理由于业务负载与资源可用性不匹配而导致的spmcn各节点的潜在数据冲突;SC协议采用部分已知转移概率的马尔可夫链进行具体描述,以提高其适用性。然后,对spmcn的网络安全问题进行了研究,并将重点放在欺骗攻击上,因为欺骗攻击通过恶意篡改敏感信息而带来重大风险。在对欺骗攻击行为建模的基础上,设计了增益未定的观测器辅助同步控制器,建立了增广同步误差系统。接着,分析了所构造系统在保证$H_{\infty }$控制性能的稳定性下,给出了一种确定期望观测器和控制器增益的可行算法。最后,以城市公共交通网络为例进行了仿真,验证了所提同步控制方案的有效性和实用性。
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来源期刊
IEEE Transactions on Signal and Information Processing over Networks
IEEE Transactions on Signal and Information Processing over Networks Computer Science-Computer Networks and Communications
CiteScore
5.80
自引率
12.50%
发文量
56
期刊介绍: The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.
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