FMTC Workshop
Reliability estimation of physically inspired models (Relimod)
Physically inspired models are a useful means for designing better machines and vehicles. They allow for a faster control design and verification of the correct operation of the machine/vehicle through virtual tests. But how can we incorporate the different behavior of multiple machines of the same type in a single model? Or how can we rely on a model, if we do not know to what extent its behavior deviates from reality? For example, what guarantee do we have that a model-based control design will produce the expected performance on the actual machine? Or in an end-of-line test, can we use a model to evaluate whether the observed machine behavior is within acceptable tolerances? So an understanding of the reliability of the model and its parameters is necessary.
In the Relimod project, an approach is developed and demonstrated that allows quantifying the reliability (uncertainty) of the output of physically inspired models and their parameters based on a certain set of experiments performed on a realization of the mechatronic system.
Click here for more info.
- 09:00 Welcome & introduction (Erik Hostens)
- 09:30 Modeling uncertainty – basic concepts (Fisher information matrix, Jacobian, propagation of input and parameter uncertainty) (Bert Lenaerts)
- 10:30 Hands-on session (Bert Lenaerts, Erik Hostens)
- 11:30 Coffee break
- 12:00 Modeling uncertainty with the Parameter Estimation Toolbox (Bert Lenaerts)
Send an email to erik.hostens@fmtc.be before June 6th.
Participation is free of charge, but registration is mandatory.