Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …

State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …

Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

The goal of the state estimation (SE) algorithm is to estimate complex bus voltages as state
variables based on the available set of measurements in the power system. Because phasor …

As phasor measurement units (PMUs) become more widely used in transmission power
systems, a fast state estimation (SE) algorithm that can take advantage of their high sample …

This paper presents a distributed unscented information filtering (UIF) method for state
estimation of interconnected nonlinear dynamic systems. The UIF method is an information …

Fifth-Generation (5G) networks have a potential to accelerate power system transition to a
flexible, softwarized, data-driven, and intelligent grid. With their evolving support for Machine …

Nonlinear state estimation (SE), with the goal of estimating complex bus voltages based on
all types of measurements available in the power system, is usually solved using the …

Boat-mounted Acoustic Doppler Current Profilers (ADCP) are commonly used to measure
the streamwise velocity distribution and discharge in rivers and open channels. Generally …

In this paper, we consider the problem of recovering random graph signals from nonlinear
measurements. We formulate the maximum a-posteriori probability (MAP) estimator, which …