The identification of respiratory impedance based on mathematical models and the consequent assessment of respiratory work propose an aid to adequately setting ventilatory support. We compared the respiratory models RC, RIC, eRC, eRIC, aRC and aRIC using parametric identification by ARX, ARMAX and OE and data from simulations, volunteers and patients. The comparison bases on the quality of the ...

We have already developed a speech analysis method based on the Glottal-ARMAX (Auto Regressive and Moving Average eXogenous) model, in which the speech production model is supposed to be an ARMAX vocal tract model and two kinds of excitation: glottal source model excitation and white Gaussian. The speech analysis method based on the Glottal-ARMAX model can estimate the glottal source and ARMAX ...

In this paper, one aims at investigating the stability and convergence properties of a set membership identification methods involving ARMAX and OE model structures and optimal bounding ellipsoid based parameter adaptation. Fundamental results are obtained, they generalize some results that have been already established for FIR and ARX model structures.

This paper examines the identification of multi-input systems. Motivated by an experiment design problem (should one excite the various inputs simultaneously or separately), we examine the effect of an additional input on the variance of the estimated coefficients of parametrized rational transfer function models, with special emphasis on the commonly used FIR, ARX, ARMAX, OE and BJ model struc...

The identification of dynamic processes can be performed by means of different classes of models relying on different stochastic environments to describe the misfit between the model and process observations. This paper introduces a new class of models by considering additive error terms on the observations of the input and output of ARARX models and proposes a three–step identification procedu...

Short-term management of groundwater resources, especially during droughts, can be assisted by forecasts of groundwater levels. Such forecasts need to account for the natural dynamic behaviour of the aquifer, likely recharge scenarios, and recent but unknown abstractions. These requirements mean that forecasts, at say monthly intervals, need to be updated with current observations on a real-tim...

This paper develops high performance system identification and linearisation techniques, using a genetic algorithm. The algorithm is fine tuned by simulated annealing, which yields a faster convergence and a more accurate search. This global search technique is used to identify the parameters of a system described by an ARMAX model in the presence of white noise and to approximate a nonlinear m...