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Bibliographic Details
Main Author: Sedoglavic, Alexandre
Format: Preprint
Published: 2000
Subjects:
Online Access:https://arxiv.org/abs/math/0010045
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author Sedoglavic, Alexandre
author_facet Sedoglavic, Alexandre
contents The following questions are often encountered in system and control theory. Given an algebraic model of a physical process, which variables can be, in theory, deduced from the input-output behavior of an experiment? How many of the remaining variables should we assume to be known in order to determine all the others? These questions are parts of the \emph{local algebraic observability} problem which is concerned with the existence of a non trivial Lie subalgebra of the symmetries of the model letting the inputs and the outputs invariant. We present a \emph{probabilistic seminumerical} algorithm that proposes a solution to this problem in \emph{polynomial time}. A bound for the necessary number of arithmetic operations on the rational field is presented. This bound is polynomial in the \emph{complexity of evaluation} of the model and in the number of variables. Furthermore, we show that the \emph{size} of the integers involved in the computations is polynomial in the number of variables and in the degree of the differential system. Last, we estimate the probability of success of our algorithm and we present some benchmarks from our Maple implementation.
format Preprint
id arxiv_https___arxiv_org_abs_math_0010045
institution arXiv
publishDate 2000
record_format arxiv
spellingShingle A probabilistic algorithm to test local algebraic observability in polynomial time
Sedoglavic, Alexandre
Optimization and Control
Numerical Analysis
93B07, 93B40, 93A30; 12H05
The following questions are often encountered in system and control theory. Given an algebraic model of a physical process, which variables can be, in theory, deduced from the input-output behavior of an experiment? How many of the remaining variables should we assume to be known in order to determine all the others? These questions are parts of the \emph{local algebraic observability} problem which is concerned with the existence of a non trivial Lie subalgebra of the symmetries of the model letting the inputs and the outputs invariant. We present a \emph{probabilistic seminumerical} algorithm that proposes a solution to this problem in \emph{polynomial time}. A bound for the necessary number of arithmetic operations on the rational field is presented. This bound is polynomial in the \emph{complexity of evaluation} of the model and in the number of variables. Furthermore, we show that the \emph{size} of the integers involved in the computations is polynomial in the number of variables and in the degree of the differential system. Last, we estimate the probability of success of our algorithm and we present some benchmarks from our Maple implementation.
title A probabilistic algorithm to test local algebraic observability in polynomial time
topic Optimization and Control
Numerical Analysis
93B07, 93B40, 93A30; 12H05
url https://arxiv.org/abs/math/0010045