Identification for Switched FIR Linear Systems using Binary Measurements

Romain Auber (1) , Mathieu Pouliquen (1) , Abdelhak Goudjil (1) , Eric Pigeon (1) , Olivier Gehan (1) , Pierre Alexandre Chapon (2) , Sébastien Moussay (3, 2) , Tristan Bonargent (1)

1 LAC - Laboratoire d'automatique de Caen
2 BodyCap Le compagnon santé connecté
3 INSERM - Institut National de la Santé et de la Recherche Médicale

This paper addresses the identification problem of switched Finite Impulse Response (FIR) linear systems using binary measurements. This identification problem is currently not treated in the literature and we thus propose a solution here. To this end, a two steps algorithm is presented. The first step consists in pre-processing data, the second step consists in the implementation of an identification algorithm for switched linear systems in presence of bounded noise. Simulation results are given to show the effectiveness of the proposed approach.

Mots clés: Switches; Linear systems; Estimation; Strips; Finite impulse response filters; Energy resolution; Time factors; Modal analysis; Time-varying systems; Identification; Switched Linear Systems; Binary Measurements

Domaines: Automatique / Robotique

Romain Auber, Mathieu Pouliquen, Abdelhak Goudjil, Eric Pigeon, Olivier Gehan, et al.. Identification for Switched FIR Linear Systems using Binary Measurements. 2019 IEEE 58th Conference on Decision and Control (CDC), Dec 2019, Nice, France. pp.791-796, ⟨10.1109/CDC40024.2019.9029940⟩. ⟨hal-02283945⟩