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
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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

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