This article surveys the System Level Synthesis framework, which presents a novel
perspective on constrained robust and optimal controller synthesis for linear systems. We …

Biological and advanced cyber-physical control systems often have limited, sparse,
uncertain, and distributed communication and computing in addition to sensing and …

In many areas of applied mathematics, decentralization of information is a ubiquitous
attribute affecting how to approach a stochastic optimization, decision and estimation, or …

A major challenge faced in the design of largescale cyber-physical systems, such as power
systems, the Internet of Things or intelligent transportation systems, is that traditional …

Multi-agent networked linear dynamic systems have attracted the attention of researchers in
power systems, intelligent transportation, and industrial automation. The agents might …

This paper addresses the problem of distributed state estimation in a multi-vehicle
framework. Each vehicle aims to estimate its own state relying on locally available …

When designing controllers for large-scale systems, the architectural aspects of the
controller such as the placement of actuators, sensors, and the communication links …

This article considers the decentralized linear–quadratic–Gaussian control problem for
discrete-time decentralized system controlled by two players. In this scenario, player 1 …

For sequential stochastic control problems with standard Borel measurement and control
action spaces, we introduce a general (universally applicable) dynamic programming …

This article studies the decentralized control of large-scale systems with sparsity and
communication delays. The large-scale system is defined over a directed connected graph …