Applied Interval Analysis: With Examples in Parameter and by Luc Jaulin PhD, Michel Kieffer PhD, Olivier Didrit PhD, Éric PDF

By Luc Jaulin PhD, Michel Kieffer PhD, Olivier Didrit PhD, Éric Walter PhD (auth.)

ISBN-10: 1447102495

ISBN-13: 9781447102496

ISBN-10: 1447110676

ISBN-13: 9781447110675

At the center of many engineering difficulties is the answer of units of equa­ tions and inequalities, and the optimization of rate services. regrettably, other than in designated instances, comparable to whilst a suite of equations is linear in its un­ knowns or while a convex expense functionality should be minimized less than convex constraints, the consequences received by way of traditional numerical tools are just neighborhood and can't be assured. this implies, for instance, that the particular international minimal of a price functionality is probably not reached, or that a few worldwide minimizers of this price functionality may possibly break out detection. against this, period research makes it attainable to procure assured approximations of the set of all of the genuine strategies of the matter being thought of. This, including the shortcoming of books featuring period options in the sort of means that they can turn into a part of any engineering numerical instrument equipment, prompted the writing of this ebook. the journey all started in 1991 with the training by way of Luc Jaulin of his PhD thesis, below Eric Walter's supervision. It persisted with their joint supervision of Olivier Didrit's and Michel Kieffer's PhD theses. greater than years in the past, once we awarded our e-book undertaking to Springer, we naively proposal that redaction will be an easy subject, given what had already been accomplished . . .

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Extra info for Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics

Example text

These tests involve interval Booleans, which will be presented first. 136) but there is no need to use wrappers for outer approximating the Boolean sets to be handled, since lffi is finite. 5 Inclusion Tests 39 the dependency effect will still be present. A Boolean number is an element of lffi. By extension 1 , an interval Boolean is a subset of lffi. 137) ° where 0 stands for impossible, for false, 1 for true, and [0, 1] for indeterminate. 138) where /\ and V respectively stand for the AND and OR operators and where, is the complementation operator, such that,O = 1 and ,1 = 0.

46) 20 2. Interval Analysis a property known as subdistributivity, which is a direct consequence of the dependency effect, as [x] appears only once on the left-hand side but twice on the right-hand side. As a result, it is recommended to factorize expanded forms as much as possible. Elementary functions such as exp, tan, sin, cos. 30). {, then its interval counterpart [f] satisfies [f] ([xl) = [{f(x) I x E [x]}]. 47) For any continuous elementary function, [f] ([xl) is thus equal to the image set f([xl).

161 ) The following properties can be used to build inclusion tests for sets defined from elementary set operations such as union, intersection or complementation. If [tAl ([xl) and [tml ([xl) are thin inclusion tests for the sets fA and lffi, define [tAnml ([xl) ~ ([tAl n [tml) ([xl) = [tAl ([xl) n [tml ([xl), [tAuml ([xl) ~ ([tAl U [tml) ([xl) = [tAl ([xl) U [tml ([xl), [t~A]([Xl) ~,[tAl ([xl) = 1 - [tAl ([xl). 162) [tAnml , [tAuml and [t~Al are then thin inclusion tests for the sets fA n lffi, fA u lffi and ,fA ~ {x E ]Rn I x rt fA}, respectively.

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Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics by Luc Jaulin PhD, Michel Kieffer PhD, Olivier Didrit PhD, Éric Walter PhD (auth.)


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