There has been an ever-increasing interest in multi-disciplinary research on multisensor
data fusion technology, driven by its versatility and diverse areas of application. Therefore …

The tracking of objects using distributed multiple sensors is an important field of work in the
application areas of autonomous robotics, military applications, and mobile systems. In this …

In target tracking systems measurements are typically collected in" scans" or" frames" and
then they are transmitted to a processing center. In multisensor tracking systems that operate …

In multisensor target tracking systems measurements from the same target can arrive out of
sequence. Such" out-of-sequence" measurement (OOSM) arrivals can occur even in the …

To reduce the amount of data transfer in networked systems, measurements are usually
taken only when an event occurs rather than at each synchronous sample instant. However …

Analysis and Synthesis of Networked Control Systems focuses on essential aspects of this
field, including quantization over networks, data fusion over networks, predictive control over …

This paper is concerned with optimal filtering in a distributed multiple sensor system with the
so-called out-of-sequence measurements (OOSM). Based on best linear unbiased …

Time-delay occurs in many dynamical systems such as biological systems, chemical
systems, metallurgical processing systems, nuclear reactor, long transmission lines in …

Target tracking using delayed, out-of-sequence measurements is a problem of growing
importance due to an increased reliance on networked sensors interconnected via complex …

A novel networked multisensor data-fusion method is developed in this paper. A federated
filter is employed to fuse the data transmitted over the network, which plays an important role …