This work addresses a problem of model-order reduction for a wide class of Partial Differential Equations (PDE). Starting from the popular continuity equation, describing a general conservation law in space, a typical advection-diffusion-reaction equation is illustrated and then turned into a finite-dimensional system by means of reasonable approximations of the processes involved. The reduced-order model takes the form of a Linear Time-Varying (LTV) system, inheriting qualitative and quantitative properties of the original infinite-dimensional model. Convergence properties are discussed and illustrated, also highlighting connections with known results on multi-agent systems. Preliminary numerical simulations show the effectiveness of the proposed approach.

Multi-agent system modeling of advection-diffusion-reaction equations

Borri Alessandro;Cusimano Valerio;Panunzi Simona;De Gaetano Andrea
2019

Abstract

This work addresses a problem of model-order reduction for a wide class of Partial Differential Equations (PDE). Starting from the popular continuity equation, describing a general conservation law in space, a typical advection-diffusion-reaction equation is illustrated and then turned into a finite-dimensional system by means of reasonable approximations of the processes involved. The reduced-order model takes the form of a Linear Time-Varying (LTV) system, inheriting qualitative and quantitative properties of the original infinite-dimensional model. Convergence properties are discussed and illustrated, also highlighting connections with known results on multi-agent systems. Preliminary numerical simulations show the effectiveness of the proposed approach.
2019
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Distributed parameter systems
Agents and autonomous systems
Model reduction
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/364616
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact