New technology is needed to meet the latency and bandwidth issues present in cloud
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …

In this article, we investigate the problem of actuator selection for linear dynamical systems.
We develop a framework to design a sparse actuator schedule for a given large-scale linear …

This study addresses the challenge of selecting sensors for linear time-varying (LTV)
systems dynamically. We present a framework that designs an online sparse sensor …

We study the problem of jointly designing a sparse sensor and actuator schedule for linear
dynamical systems while guaranteeing a control/estimation performance that approximates …

In this paper, we consider the problem of sensor selection for discrete-time linear dynamical
networks. We develop a framework to design a sparse sensor schedule for a given large …

In this paper, we investigate the problem of time-varying sensor selection for linear time-
varying (LTV) dynamical systems. We develop a framework to design an online sparse …

Designing sparse sampling strategies is crucial in having resilient estimation and control in
networked systems as they make sampling less expensive and networks more resilient wrt …

In this paper, we investigate the problem of time-varying sensor selection for linear time-
invariant (LTI) dynamical systems. We develop a framework to design a sparse sensor …

We quantify performance of a class of interconnected linear dynamical networks with
arbitrary nodal dynamics. It is shown that the steady-state variance of the output, which is …

Motivated by biochemical reaction networks, a generalization of the classical secant
condition for the stability analysis of cyclic interconnected commensurate fractional-order …