We consider the problem of choosing a set of k sensor measurements, from a set of m
possible or potential sensor measurements, that minimizes the error in estimating some …

An effective condition monitoring system of wind turbines generally requires installation of a
high number of sensors and use of a high sampling frequency in particular for monitoring of …

A greedy algorithm is proposed for sparse-sensor selection in reduced-order sensing that
contains correlated noise in measurement. The sensor selection is carried out by …

The customary electrical circuit configuration for estimating mechanical loads with strain
gauges uses Wheatstone full-or half-bridges. For each mechanical load to be estimated, a …

Sparse sensor placement strategies are applied to reconstruct a region's full-state data
conditioned to a limited number of sensors; particularly, crucial to ocean monitoring systems …

This paper addresses the design of a network of observation locations in a spatial domain
that will be used to estimate unknown parameters of a distributed parameter system. We …

The position of vibration sensors influences the modal identification quality of flexible
structures for a given number of sensors, and the quality of modal identification is usually …

Optimization of sensor selection has been studied to monitor complex and large-scale
systems with data-driven linear reduced-order modeling. An algorithm for greedy sensor …

Accurate indoor climate monitoring is important for identifying energy-efficiency strategies in
buildings. However, existing indoor monitoring approaches typically use networks of …

In many control applications, there is freedom to place the actuators. The actuator location
should be chosen to optimize certain performance objectives. In this paper, H∞ …