Industrial cyber-physical systems (CPSs) are large-scale, geographically dispersed, and life-
critical systems, in which lots of sensors and actuators are embedded and networked …

This paper addresses the distributed resilient filtering problem for a class of power systems
subject to denial-of-service (DoS) attacks. A novel distributed filter is first constructed to …

The particle filter (PF) provides a kind of novel technique for estimating the hidden states of
the nonlinear and/or non-Gaussian systems. However, the general PF always suffers from …

The objectives of this paper are to review and compare the distributed control methods in AC
microgrids and also to identify the impact of communication failure on this type of the …

This chapter reviews distributed control and management strategies for the next-generation
power system. It also identifies and proposes future research directions. The next-generation …

This paper is concerned with the asynchronous control problem of multi-rate sampled-data
nonlinear systems. To solve this problem, the data-driven multi-model predictive control …

This paper proposes a new distributed algorithm for Kalman filtering. It is assumed that a
linear discrete-time dynamic system is monitored by a network of sensors with some being …

This brief concerns parameter identification for a dual-rate Hammerstein CARMA system. By
combining the polynomial transformation technique and the hierarchical identification …

A new distributed filtering problem is fully studied in this article for time-varying systems over
sensor networks under measurement errors and measurement censoring, where the …

Complex, dynamical systems, often of a high order, composed of several interconnected
subsystems, are referred to as large-scale systems (LSSs). This article presents a survey of …