Normalized controlled process models and controllers

Victor M. Alfaro; Ramon Vilanova

doi:10.1007/978-3-319-28213-8_5

Normalized controlled process models and controllers

Victor M. Alfaro, Ramon Vilanova

Department of Telecommunications and Systems Engineering

Research output: Chapter in Book › Chapter › Research › peer-review

Abstract

© Springer International Publishing Switzerland 2016. The design methodology outlined in Chap. 4 is applied to controlled processes represented by stable overdamped and inverse response models, and as well by integrating and unstable models. For control system performance analysis and controller tuning, it is convenient to work with dimensionless parameters to make it non dependent on the controlled process timescale and gain.

Original language	English
Title of host publication	Advances in Industrial Control
Pages	35-40
Number of pages	5
ISBN (Electronic)	2193-1577
DOIs	https://doi.org/10.1007/978-3-319-28213-8_5
Publication status	Published - 1 Jan 2017

Access to Document

10.1007/978-3-319-28213-8_5

Fingerprint Dive into the research topics of 'Normalized controlled process models and controllers'. Together they form a unique fingerprint.

Cite this

@inbook{70006b7c40124965a0b6ab804b310175,

title = "Normalized controlled process models and controllers",

abstract = "{\textcopyright} Springer International Publishing Switzerland 2016. The design methodology outlined in Chap. 4 is applied to controlled processes represented by stable overdamped and inverse response models, and as well by integrating and unstable models. For control system performance analysis and controller tuning, it is convenient to work with dimensionless parameters to make it non dependent on the controlled process timescale and gain.",

author = "Alfaro, {Victor M.} and Ramon Vilanova",

year = "2017",

month = jan,

day = "1",

doi = "10.1007/978-3-319-28213-8_5",

language = "English",

isbn = "1430-9491",

pages = "35--40",

booktitle = "Advances in Industrial Control",

}

TY - CHAP

T1 - Normalized controlled process models and controllers

AU - Alfaro, Victor M.

AU - Vilanova, Ramon

PY - 2017/1/1

Y1 - 2017/1/1

N2 - © Springer International Publishing Switzerland 2016. The design methodology outlined in Chap. 4 is applied to controlled processes represented by stable overdamped and inverse response models, and as well by integrating and unstable models. For control system performance analysis and controller tuning, it is convenient to work with dimensionless parameters to make it non dependent on the controlled process timescale and gain.

AB - © Springer International Publishing Switzerland 2016. The design methodology outlined in Chap. 4 is applied to controlled processes represented by stable overdamped and inverse response models, and as well by integrating and unstable models. For control system performance analysis and controller tuning, it is convenient to work with dimensionless parameters to make it non dependent on the controlled process timescale and gain.

U2 - 10.1007/978-3-319-28213-8_5

DO - 10.1007/978-3-319-28213-8_5

M3 - Chapter

SN - 1430-9491

SP - 35

EP - 40

BT - Advances in Industrial Control

ER -