As the scale of distributed control systems over networks increases and interactions
between different subsystems become more sophisticated, questions of the resilience of …

Optimal sensor and actuator selection is a central challenge in high-dimensional estimation
and control. Nearly all subsequent control decisions are affected by these sensor and …

Ultra-wideband (UWB) time-of-flight (TOF)-based ranging information in a non-line-of-sight
(NLOS) environment can display significant forward errors, which directly affect positioning …

Objective functions for sensor selection are investigated in linear time-invariant systems with
a large number of sensor candidates. This study compared the performance of sensor sets …

Optimization approaches that determine sensitive sensor nodes in a large-scale, linear time-
invariant, and discrete-time dynamical system are examined under the assumption of …

The extensive growth in popularity of Internet of Things (IoT) has led to the generation of
massive amount of data from several heterogeneous sensory devices. This has also led to …

A dual-optimized adaptive Kalman filtering (DO-AKF) algorithm based on back propagation
(BP) neural network and variance compensation was developed for high-sensitivity trace …

Given a linear dynamical system affected by stochastic noise, we consider the problem of
selecting an optimal set of sensors (at design time) to minimize the trace of the steady-state …

A multi-degree-of-freedom (multi-DOF) exoskeleton relies on an array of sensors to
communicate its state (eg, positions/orientations) and operator-exoskeleton contact …

Currently, ultra-wide band (UWB) is adopted as a useful high-accuracy positioning
technique in satellite-blocked areas. However, UWB's positioning performance would be …