System level synthesis

J Anderson, JC Doyle, SH Low, N Matni - Annual Reviews in Control, 2019 - Elsevier
This article surveys the System Level Synthesis framework, which presents a novel
perspective on constrained robust and optimal controller synthesis for linear systems. We …

[HTML][HTML] An overview of structural systems theory

G Ramos, AP Aguiar, S Pequito - Automatica, 2022 - Elsevier
This paper provides an overview of the research conducted in the context of structural (or
structured) systems. These are parametrized models used to assess and design system …

How do organizational performances vary between early adopters and late adopters of Quality 4.0? An exploratory qualitative study

J Antony, V Swarnakar, M Sony, O McDermott… - The TQM …, 2024 - emerald.com
Purpose This study aims to investigate how early and late adopters of Quality 4.0 (Q4. 0)
differ in terms of organizational performance. Design/methodology/approach The authors …

Stochastic networked control systems

S Yüksel, T Basar - AMC, 2013 - Springer
Our goal in writing this book has been to provide a comprehensive, mathematically rigorous,
but still accessible treatment of the interaction between information and control in multi …

Sparsity-promoting optimal wide-area control of power networks

F Dörfler, MR Jovanović, M Chertkov… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Inter-area oscillations in bulk power systems are typically poorly controllable by means of
local decentralized control. Recent research efforts have been aimed at developing wide …

Approximate information state for approximate planning and reinforcement learning in partially observed systems

J Subramanian, A Sinha, R Seraj, A Mahajan - Journal of Machine …, 2022 - jmlr.org
We propose a theoretical framework for approximate planning and learning in partially
observed systems. Our framework is based on the fundamental notion of information state …

A system-level approach to controller synthesis

YS Wang, N Matni, JC Doyle - IEEE Transactions on Automatic …, 2019 - ieeexplore.ieee.org
Biological and advanced cyber-physical control systems often have limited, sparse,
uncertain, and distributed communication and computing in addition to sensing and …

Toward distributed energy services: Decentralizing optimal power flow with machine learning

R Dobbe, O Sondermeijer… - … on Smart Grid, 2019 - ieeexplore.ieee.org
The implementation of optimal power flow (OPF) methods to perform voltage and power flow
regulation in electric networks is generally believed to require extensive communication. We …

On team decision problems with nonclassical information structures

AA Malikopoulos - IEEE Transactions on Automatic Control, 2022 - ieeexplore.ieee.org
In this article, we consider sequential dynamic team decision problems with nonclassical
information structures. First, we address the problem from the point of view of a “manager” …

Separation of learning and control for cyber–physical systems

AA Malikopoulos - Automatica, 2023 - Elsevier
Most cyber–physical systems (CPS) encounter a large volume of data which is added to the
system gradually in real time and not altogether in advance. In this paper, we provide a …