DYNAMICAL MODELLING USING Ck SPLINE FUNCTIONS WITH APPLICATION TO WEIGHT SENSORS

We present in this article an identification and signal processing of weight sensors. The dynamical modeling of these sensors is nonlinear and can be described in the state space representation by a bilinear algebraic structure. This system can be transformed by local diffeomorphisms by using an elimination method. The identification process is based upon a projection of experimental data in the Sobolev Hk(Ω) space (Ck spline approximation). The experimental results show the good accordance of our projection with the real response of the sensor.