System analysis via performance maps

J. J. Alpigini, David Russell

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

While there are a number of visual methods common to the design and analysis of dynamic systems, they tend to be specific to their application and limited in the amount of information that they yield. This paper explores a visualization technique, titled the performance map, which is derived from the Julia set commonly used in the visualization of iterative chaos. Performance maps are generated via digital computation, and require a minimum of a priori knowledge of the system under evaluation. By the use of color-coding, these images convey a wealth of information to the informed user about dynamic behaviors of a system that may be hidden from all but the expert analyst.

Original languageEnglish (US)
Pages (from-to)493-504
Number of pages12
JournalControl Engineering Practice
Volume11
Issue number5
DOIs
StatePublished - Jan 1 2003

Fingerprint

Systems Analysis
Visualization
Systems analysis
Image Coding
Julia set
Image coding
Chaos theory
Dynamic Behavior
Dynamic Systems
Chaos
Dynamical systems
Tend
Color
Evaluation
Vision
Knowledge
Design

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Alpigini, J. J. ; Russell, David. / System analysis via performance maps. In: Control Engineering Practice. 2003 ; Vol. 11, No. 5. pp. 493-504.
@article{302b221995b74915a263036c34257f1b,
title = "System analysis via performance maps",
abstract = "While there are a number of visual methods common to the design and analysis of dynamic systems, they tend to be specific to their application and limited in the amount of information that they yield. This paper explores a visualization technique, titled the performance map, which is derived from the Julia set commonly used in the visualization of iterative chaos. Performance maps are generated via digital computation, and require a minimum of a priori knowledge of the system under evaluation. By the use of color-coding, these images convey a wealth of information to the informed user about dynamic behaviors of a system that may be hidden from all but the expert analyst.",
author = "Alpigini, {J. J.} and David Russell",
year = "2003",
month = "1",
day = "1",
doi = "10.1016/S0967-0661(02)00145-4",
language = "English (US)",
volume = "11",
pages = "493--504",
journal = "Control Engineering Practice",
issn = "0967-0661",
publisher = "Elsevier Limited",
number = "5",

}

System analysis via performance maps. / Alpigini, J. J.; Russell, David.

In: Control Engineering Practice, Vol. 11, No. 5, 01.01.2003, p. 493-504.

Research output: Contribution to journalArticle

TY - JOUR

T1 - System analysis via performance maps

AU - Alpigini, J. J.

AU - Russell, David

PY - 2003/1/1

Y1 - 2003/1/1

N2 - While there are a number of visual methods common to the design and analysis of dynamic systems, they tend to be specific to their application and limited in the amount of information that they yield. This paper explores a visualization technique, titled the performance map, which is derived from the Julia set commonly used in the visualization of iterative chaos. Performance maps are generated via digital computation, and require a minimum of a priori knowledge of the system under evaluation. By the use of color-coding, these images convey a wealth of information to the informed user about dynamic behaviors of a system that may be hidden from all but the expert analyst.

AB - While there are a number of visual methods common to the design and analysis of dynamic systems, they tend to be specific to their application and limited in the amount of information that they yield. This paper explores a visualization technique, titled the performance map, which is derived from the Julia set commonly used in the visualization of iterative chaos. Performance maps are generated via digital computation, and require a minimum of a priori knowledge of the system under evaluation. By the use of color-coding, these images convey a wealth of information to the informed user about dynamic behaviors of a system that may be hidden from all but the expert analyst.

UR - http://www.scopus.com/inward/record.url?scp=0037403450&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037403450&partnerID=8YFLogxK

U2 - 10.1016/S0967-0661(02)00145-4

DO - 10.1016/S0967-0661(02)00145-4

M3 - Article

VL - 11

SP - 493

EP - 504

JO - Control Engineering Practice

JF - Control Engineering Practice

SN - 0967-0661

IS - 5

ER -