This work addresses decentralized online optimization in nonstationary environments. A
network of agents aim to track the minimizer of a global, time-varying, and convex function …

Decentralized optimization to minimize a finite sum of functions, distributed over a network of
nodes, has been a significant area within control and signal-processing research due to its …

Motivated by the increasing availability and quality of miniaturized sensors, computers, and
wireless communication devices and given their enormous potential, the use of wireless …

This note investigates the distributed estimation problem for continuous-time linear time-
invariant (LTI) systems observed by a network of observers. Our starting point is a given LTI …

We consider the problem of distributed state estimation of a linear time-invariant (LTI) system
by a network of sensors. We develop a distributed observer that guarantees asymptotic …

Passivity is an input–output property of dynamical systems. The concept generalizes
physical systems that cannot store more energy than the energy supplied from outside the …

Consider that an autonomous linear time-invariant (LTI) plant is given and that each member
of a network of LTI observers accesses a portion of the output of the plant. The dissemination …

With the rapid development of information technologies and cloud computing, sensor
networks play an increasingly important role in our society. Over the past few decades …

In this paper, we address the distributed filtering and prediction of time-varying random fields
represented by linear time-invariant (LTI) dynamical systems. The field is observed by a …

This paper studies distributed estimation of unstable dynamic random fields observed by a
sparsely connected network of sensors. The field dynamics are globally detectable, but not …