Automated Model Generation for Analysis of Large-scale Interconnected Uncertain Systems
Farzaneh Karami, Sina Khoshfetrat Pakazad, Anders Hansson, Ahmad, Afshar

TL;DR
This paper introduces an automated framework to generate standard-form models of large-scale interconnected uncertain systems, facilitating robustness analysis using Integral Quadratic Constraint methods.
Contribution
The paper presents a novel automated approach to model large-scale interconnected uncertain systems from block diagrams, enabling more efficient IQC-based robustness analysis.
Findings
Automated model generation from block diagrams demonstrated.
Framework supports large-scale interconnected systems.
Enhances compatibility with IQC analysis tools.
Abstract
The first challenge in robustness analysis of large-scale interconnected uncertain systems is to provide a model of such systems in a standard-form that is required within different analysis frameworks. This becomes particularly important for large-scale systems, as analysis tools that can handle such systems heavily rely on the special structure within such model descriptions. We here propose an automated framework for providing such models of large-scale interconnected uncertain systems that are used in Integral Quadratic Constraint (IQC) analysis. Specifically, in this paper we put forth a methodological way to provide such models from a block-diagram and nested description of interconnected uncertain systems. We describe the details of this automated framework using an example.
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Taxonomy
TopicsFault Detection and Control Systems · Petri Nets in System Modeling · Advanced Control Systems Optimization
