Compositional Construction of Abstractions for Infinite Networks of Discrete-Time Switched Systems
Maryam Sharifi, Abdalla Swikir, Navid Noroozi, Majid Zamani

TL;DR
This paper presents a compositional method to construct continuous abstractions for infinite networks of discrete-time switched systems, enabling scalable controller design with quantifiable approximation errors.
Contribution
It introduces a scale-free, compositional framework using simulation functions and small-gain conditions for infinite networks, with practical LMI-based construction methods.
Findings
Effective abstraction of infinite networks demonstrated
LMI conditions enable efficient local abstraction construction
Application to AC microgrids validates approach
Abstract
In this paper, we develop a compositional scheme for the construction of continuous approximations for interconnections of infinitely many discrete-time switched systems. An approximation (also known as abstraction) is itself a continuous-space system, which can be used as a replacement of the original (also known as concrete) system in a controller design process. Having designed a controller for the abstract system, it is refined to a more detailed one for the concrete system. We use the notion of so-called simulation functions to quantify the mismatch between the original system and its approximation. In particular, each subsystem in the concrete network and its corresponding one in the abstract network are related through a notion of local simulation functions. We show that if the local simulation functions satisfy certain small-gain type conditions developed for a network…
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Taxonomy
TopicsMatrix Theory and Algorithms · Control and Stability of Dynamical Systems · Numerical methods for differential equations
