Distributed Dimensionality Reduction Fusion Estimation for Cyber-Physical Systems Under DoS Attacks
研究了拒绝服务攻击下信息物理系统的分布式降维融合估计问题，基于资源约束建立了攻击与补偿模型，设计了递归分布式卡尔曼融合估计器，并给出了稳定性条件。
This paper studies the distributed dimensionality reduction fusion estimation problem for a class of cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. The problem is modeled under the resource constraints (i.e., bandwidth or energy) for the defender and attacker. Based on a new attack and compensation model, a recursive distributed Kalman fusion estimator (DKFE) is designed for the addressed CPSs. Though the optimization objects of the defender and attacker are opposite, the corresponding optimization problems are established based on different available information. In this case, an explicit form of suboptimal dimensionality reduction is given against DoS attacks, while an effective attack strategy is proposed for the attacker. A stability condition is derived such that the mean square error of the designed DKFE is bounded. Two illustrative examples are given to show the effectiveness of the proposed methods.