Hybrid backward simulator for determining causal heater state with resolution improvement of measured temperature data through model conformation

Abstract

<p class="Abstract">We are developing a backward simulator, which determines the unknown system input from the system output by using a system model. However, its processing time would increase enormously if the simulation model requires the multiple case branching, which is typical for backward simulations. In some target applications, we can use forward simulation processing in the backward data flow with significant reduction of processing time. This paper shows an example of such application to determine system input of heater operation from measured data of room temperature. Although the resolution of measurement restricts the performance of the simulation result, we also used the model to improve the resolution of measured data and show its effect to simulation. Furthermore, we show the result of reduction of noise caused by quantizing LSB jitters.</p>

An ECG signal model based on a parametric description of the characteristic waves

“…Using linear functions instead of a Gaussian monopulse allows for the adjustment of the shape more precisely. All other modelling functions in this model are the same as those in the previous model, except for Equations ( 4) and (6).…”

“…Mathematical modelling allows for a description -by mathematical tools -of the properties of complex mechanical, electric, and any systems in which the final behaviours result from the physical relationships of various origins acting in a complex manner. These include behaviour analysis and the prediction of electronic [1], mechanical [2]- [4], biological [5] system components, thermal systems [6] [7], data transmission channels [8], and more. A mathematical model gives concise information about basic processes, without the effects of low significance.…”