A general framework for the identification of jump Markov linear systems

This paper concerns parameter identification for the class of jump Markov linear systems. We present recursive formulae for the computation of the second-order statistics of a jump Markov process and discuss their application to the estimation of the model parameters given data from a single or repeated experiments. Simulation results are provided to show the effectiveness of our approach.


    • EPFL-REPORT-224218

    Record created on 2017-01-10, modified on 2017-05-10


  • There is no available fulltext. Please contact the lab or the authors.

Related material