This monograph presents some exciting and new results on the analysis and design of
control of discrete-time linear dynamical systems using sparse actuator control. Sparsity …

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 …

Taking inspiration from linguistics, the communications theoretical community has recently
shown a significant recent interest in pragmatic, or goal-oriented, communication. In this …

The randomized group-greedy (RGG) method and its customized method for large-scale
sensor selection problems are proposed. The randomized greedy sensor selection …

Most modern large-scale multi-agent systems operate by taking actions based on local data
and cooperate by exchanging information over communication networks. Due to the …

Graph sampling addresses the problem of selecting a node subset in a graph to collect
samples, so that a K-bandlimited signal can be reconstructed with high fidelity. Assuming an …

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 …

The optimization of Value of Information (VoI) in sensor networks integrates awareness of
the measured process in the communication system. However, most existing scheduling …

Estimation of unsteady flowfields around flight vehicles may improve flow interactions and
lead to enhanced vehicle performance. Although flowfield representations can be very high …