Team apics

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Section: Software

RARL2

Participants : Jean-Paul Marmorat, Martine Olivi [ corresponding participant ] .

RARL2 (Réalisation interne et Approximation Rationnelle L2) is a software for rational approximation (see section 3.1.4 ) http://www-sop.inria.fr/apics/RARL2/rarl2-eng.html .

This software takes as input a stable transfer function of a discrete time system represented by

It computes a local best approximant which is stable, of prescribed McMillan degree , in the L2 norm.

It is akin to the arl2 function of Endymion (see section  5.5 ) from which it differs mainly in the way systems are represented: a polynomial representation is used in Endymion, while RARL2 uses realizations, this being very interesting in certain cases. It is implemented in Matlab. This software handles multi-variable systems (with several inputs and several outputs), and uses a parametrization that has the following advantages

An iterative research strategy on the degree of the local minima, similar in principle to that of arl2, increases the chance of obtaining the absolute minimum (see section  6.4 ) by generating, in a structured manner, several initial conditions.

RARL2 performs the rational approximation step in our applications to filter identification (section 4.3 ) as well as sources or cracks recovery (section 4.2 ). It was released to the universities of Delft, Maastricht, Cork and Brussels. The parametrization embodied in RARL2 was recently used for a multi-objective control synthesis problem provided by ESTEC-ESA, The Netherlands (section 6.4 ). An extension of the software to the case of triple poles approximants is now available. It gives nice results in the source recovery problem (section 6.3.2 ). It is used by FindSources3D (see 5.7 ).


previous
next

Logo Inria