An identification procedure for biological systems cast as quasi-species models is proposed. Their identification is a challenging problem because of the bilinear dependence on the parametersand their physical constraints. The proposed solution is within the framework of set-membership identification.%The bilinear dependence on parameters of the model and their physical constraints make the present issue challenging. We determine an estimate of the model parameters together with their interval of variability (Uncertainty Intervals), taking into account all the physical constraints. Invalidation/validation is performed on the basis of the predictive capability of the estimated models.The effectiveness of the proposed procedure has been illustrated by means of simulation experiments.
|Numero di pagine||11|
|Rivista||SYSTEMS & CONTROL LETTERS|
|Stato di pubblicazione||Published - 2009|
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Mechanical Engineering
- Electrical and Electronic Engineering