Litcius/Paper detail

A Quantitative Framework for Layered Multirate Control: Toward a Theory of Control Architecture

Nikolai Matni, Aaron D. Ames, John C. Doyle

2024IEEE Control Systems34 citationsDOI

Abstract

Complex engineered and natural control systems, such as those used in robotics, the power grid, human sensorimotor control, and the Internet, are characterized by needing to operate robustly and reliably across many spatiotemporal scales despite being implemented using highly constrained hardware and software. Remarkably, a universal design pattern centered around <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">layered control architectures</i> ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LCAs</i> ) has emerged to address these challenges across vastly different domains. These LCAs are the central object of study of this article (see “Summary”).

Topics & Concepts

Computer scienceRoboticsSoftwareArtificial intelligenceThe InternetControl (management)ArchitectureProgramming languageWorld Wide WebRobotVisual artsArtDistributed Control Multi-Agent SystemsAdvanced Control Systems OptimizationControl and Stability of Dynamical Systems
A Quantitative Framework for Layered Multirate Control: Toward a Theory of Control Architecture | Litcius