A comparison of software-based approaches to identifying FOPDT and SOPDT model parameters from process step response data

DOI10.1016/j.apm.2015.05.007zbMath1443.93008OpenAlexW1617268900MaRDI QIDQ2285959

John Tindle, Chris D. Cox, Kevin Burn

Publication date: 9 January 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2015.05.007

zbMATH Keywords

identificationleast-squares algorithmSOPDT modelPSOstep responseFOPDT model

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Mathematical modeling or simulation for problems pertaining to systems and control theory (93-10)

Related Items (1)

TUNING OF IMC CONTROLLER FOR SYSTEMS WITH TIME-DELAY USING AN IMPROVED STRANGE NONCHAOTIC OPTIMIZATION APPROACH

Cites Work

• A new method to estimate a first-order plus time delay model from step response
• Indirect identification of continuous-time delay systems from step responses
• A method for auto-tuning of PID control parameters
• Step response and frequency response methods
• Robust identification of continuous systems with dead-time from step responses

This page was built for publication: A comparison of software-based approaches to identifying FOPDT and SOPDT model parameters from process step response data