The Kalman filter (KF) has received a huge interest from the industrial electronics community
and has played a key role in many engineering fields since the 1970s, ranging, without …

This paper presents a distributed Maximum A Posteriori (MAP) estimator for multi-robot
Cooperative Localization (CL). As opposed to centralized MAP-based CL, the proposed …

In any linear system the Kalman Filter is highly used to tracking and estimation. Extended
Kalman Filter is deal nonlinear system better than Kalman Filter. But the framework of …

Real-data testing results of a real-time nonlinear freeway traffic state estimator are presented
with a particular focus on its adaptive features. The pursued general approach to the real …

Distribution system state estimation (DSSE) is essential for smart grid monitoring and
control. Bus voltage phasors and, consequently, DSSE uncertainty can be significantly …

This paper presents a real-time freeway network traffic surveillance tool RENAISSANCE.
Based on a stochastic macroscopic freeway network traffic flow model and the extended …

This paper deals with a new approach to multi robot localization. An Interlaced extended
Kalman filter is shown to be a good solution to the problem of estimating the pose of a team …

Wireless Sensor Networks (WSNs) are at the forefront of emerging technologies due to the
recent advances in Microelectromechanical Systems (MEMSs). The inherent …

This paper studies an adaptive Kalman filter (KF) method based on model parameter ratio
(MPR). The model parameter ratio theory is proposed for the first time, and the adaptive …

Sensor networks have become a widely used technology for applications ranging from
military surveillance to industrial fault detection. So far, the evolution in micro-electronics has …