Determining the optimal locations for placing extra observational measurements has
practical significance. However, the exact underlying flow field is never known in practice …

The identification of model material parameters is often required when assessing existing
structures, in damage analysis and structural health monitoring. A typical procedure …

In this article an optimal sensor placement problem for a thermo-elastic solid body model is
considered. Temperature sensors are placed in a near-optimal way so that their …

Some industrial processes are modelled by parametric partial differential equations.
Integrating computational modelling and data assimilation into the control process requires …

We consider large-scale dynamical systems in which both the initial state and some
parameters are unknown. These unknown quantities must be estimated from partial state …

We present a systematic approach to the optimal placement of finitely many sensors in order
to infer a finite-dimensional parameter from point evaluations of the solution of an associated …

This paper presents a characteristic diagram based approach to the correction of thermally
induced tool center point displacements of machine tools. The entire process from the …

A clustering method is an effective way to select the proper temperature sensor location for
thermal error modeling of machine tools. In this paper, a new temperature sensor clustering …

Abstract Models are fundamental for numerical approximations since they introduce physical
laws to drive the simulations. However, models are imperfect, causing uncertainty in the …

The identification of Lamé parameters in linear elasticity is considered. An optimum
experimental design problem is formulated, which aims at minimizing the size of an …