Discrete-time modeling and analysis of a class of linear thermodynamic distributed parameter systems

Significant contributions have been made in continuous-time thermodynamic modeling, analysis, control, and estimation of distributed parameter systems. Compared with continuous-time works, research on discrete-time approaches is relatively limited. This contribution studies discrete-time modeling and analysis of a class of linear thermodynamic distributed parameter systems described by coupled hyperbolic partial differential equations (PDE) that can describe various applications in practice. Based on the Cayley-Tustin time discretization approach, the continuous-time infinite-dimensional model is converted to a discrete-time infinite dimensional model, where no spatial discretization or model order reduction is performed. We show that under this transformation, an approximation of the total internal entropy production is preserved, and the difference between the supply rates of the continuous- and discrete-time systems converges to zero as the time discretization interval tends to zero. Finally, the proposed analysis is illustrated through a counter-current heat exchanger with two state variables.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.08.086
Primary Topic
Stability and Controllability of Differential Equations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discrete-time modeling and analysis of a class of linear thermodynamic distributed parameter systems

Junyao Xie, Stevan S. Dubljevic, Marco A. Zárate-Navarro, Biao Huang
IFAC-PapersOnLine
Stability and Controllability of Differential Equations
article

Discrete-time modeling and analysis of a class of linear thermodynamic distributed parameter systems

Junyao Xie, Stevan S. Dubljevic, Marco A. Zárate-Navarro, Biao Huang
article en

Abstract

Significant contributions have been made in continuous-time thermodynamic modeling, analysis, control, and estimation of distributed parameter systems. Compared with continuous-time works, research on discrete-time approaches is relatively limited. This contribution studies discrete-time modeling and analysis of a class of linear thermodynamic distributed parameter systems described by coupled hyperbolic partial differential equations (PDE) that can describe various applications in practice. Based on the Cayley-Tustin time discretization approach, the continuous-time infinite-dimensional model is converted to a discrete-time infinite dimensional model, where no spatial discretization or model order reduction is performed. We show that under this transformation, an approximation of the total internal entropy production is preserved, and the difference between the supply rates of the continuous- and discrete-time systems converges to zero as the time discretization interval tends to zero. Finally, the proposed analysis is illustrated through a counter-current heat exchanger with two state variables.

IFAC-PapersOnLineVol. 59(8)
Universidad Autónoma de Guadalajara (MX), University of Alberta (CA)
Openalex Percentile: Top 73%
Stability and Controllability of Differential Equations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Discrete-time modeling and analysis of a class of linear thermodynamic distributed parameter systems — Junyao Xie, Stevan S. Dubljevic, et al. · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS