For a wide range of control engineering applications, the problem of solving a system of
linear equations is often encountered and has been well studied. Traditionally, this problem …

The accurately estimated state is of great importance for maintaining a stable running
condition of power systems. To maintain the accuracy of the estimated state, bad data …

This paper provides a comprehensive review of distribution system state estimation in terms
of basic definition, different methods, and their application. In the last few years, the …

The study of resilient control of linear time-invariant (LTI) systems against denial-of-service
(DoS) attacks is gaining popularity in emerging cyber-physical applications. In previous …

For solving large-scale systems of linear equations by iteration methods, we introduce an
effective probability criterion for selecting the working rows from the coefficient matrix and …

Cyber–physical systems (CPSs) usually employ distributed sensor networks to gather,
process and exchange information as a team. In contrast to the previous centralized secure …

This paper proposes two distributed state estimation protocols for static linear cyber–
physical systems under Byzantine links/nodes caused by adversarial attacks. First, a basic …

This article presents a decentralized design of a distributed state observer for a continuous-
time linear time-invariant plant. The plant is monitored by a group of agents and each …

In this paper, we consider the distributed state estimation problem of continuous-time linear
time-invariant (LTI) systems, where communication channels are attacked by stochastic …

Following the philosophy of the block Kaczmarz methods, we propose a randomized block
Kaczmarz method with the blocks determined by the k-means clustering (RBK (k)). It can be …