NOSEM® (NOnlinear SEt-membership Modeling) is an innovative methodology for modeling complex nonlinear systems from experimental data.



The derived MODEL/X allows to simulate the behavior of SISTEM X for new inputs.


 Features of NOSEM® methodology

  • It allows to handle systems whose physical description is not well known or too complex.
  • The evaluation of the generated model accuracy is guaranteed by error bounds.
  • The search for a model form parametric of nonlinearities is unnecessary.
  • It allows significant reduction in times and costs of model learning.



Milanese, M. and Novara, C. “Set membership identification of nonlinear systems.” Automatica (2004), vol. 40, no. 6, pp. 957-975. ico-download
Milanese, M. and Novara, C. “Structured set membership identification of nonlinear systems with application to vehicles with controlled suspension.” Control Engineering Practice (2007), vol. 15, pp. 1-16. ico-download