Call for Papers: Reliable Computing Special Issue on Applications to Control, Signals, and Systems

Call for Papers: Reliable Computing Special Issue on Applications to Control, Signals, and Systems Reliable Computing Special Issue on Applications to Control, Signals, and Systems CO-EDITORS: J. GARLOFF and E. WALTER Much of modern engineering theory addresses problems involving uncertainty. E.g., in control theory, a typical scenario begins with a system to be controlled and a mathematical model of this system which depends on uncertain quantities. This model thus involves various physical parameters whose values may be specified only within given bounds. Besides these data uncertainties, the designer is faced with another difficulty: Many problems require a yes/no answer, e.g., stable/unstable. Even when an algorithm designed to solve such a problem can find the correct result using real arithmetic, it may fail to do so due to rounding errors when implemented on a computer using floating point arithmetic. Interval methods appear as an appropriate tool to cope with data uncertainties as well as with rounding errors. However, designers are often confronted with a nonlinear uncertainty structure which makes the problem considerably more difficult. E.g., after massaging the study of the stability of some uncertain system into a polynomial problem with coefficients depending on uncertain parameters, these parameters generally enter into more than one coefficient of the polynomial, and in many cases, these coefficients http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reliable Computing Springer Journals

Call for Papers: Reliable Computing Special Issue on Applications to Control, Signals, and Systems

Reliable Computing , Volume 4 (1) – Oct 6, 2004
Loading next page...
 
/lp/springer_journal/call-for-papers-reliable-computing-special-issue-on-applications-to-avcWdPVZnl
Publisher
Kluwer Academic Publishers
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Mathematics; Numeric Computing; Approximations and Expansions; Computational Mathematics and Numerical Analysis; Mathematical Modeling and Industrial Mathematics
ISSN
1385-3139
eISSN
1573-1340
D.O.I.
10.1023/A:1017154506287
Publisher site
See Article on Publisher Site

Abstract

Reliable Computing Special Issue on Applications to Control, Signals, and Systems CO-EDITORS: J. GARLOFF and E. WALTER Much of modern engineering theory addresses problems involving uncertainty. E.g., in control theory, a typical scenario begins with a system to be controlled and a mathematical model of this system which depends on uncertain quantities. This model thus involves various physical parameters whose values may be specified only within given bounds. Besides these data uncertainties, the designer is faced with another difficulty: Many problems require a yes/no answer, e.g., stable/unstable. Even when an algorithm designed to solve such a problem can find the correct result using real arithmetic, it may fail to do so due to rounding errors when implemented on a computer using floating point arithmetic. Interval methods appear as an appropriate tool to cope with data uncertainties as well as with rounding errors. However, designers are often confronted with a nonlinear uncertainty structure which makes the problem considerably more difficult. E.g., after massaging the study of the stability of some uncertain system into a polynomial problem with coefficients depending on uncertain parameters, these parameters generally enter into more than one coefficient of the polynomial, and in many cases, these coefficients

Journal

Reliable ComputingSpringer Journals

Published: Oct 6, 2004

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from
Google Scholar,
PubMed
Create lists to
organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off