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Automatic control systems rely on models to predict the near future and identification algorithms to adapt the models to changing process behaviour. The traditionally highly complex models of the activated sludge process developed for scientific purposes cannot be identified from on-line...
In this paper a unified framework for vectorial parametrisation of inertia, Coriolis and centrifugal, and hydrodynamic added mass forces for marine vehicles in 6 degrees of freedom (DOF) is presented. Emphasises is placed on representing the 6 DOF nonlinear marine vehicle equations of motion in...
System identification allows fast and accurate modelling of magnetic bearing systems. It makes statis measurement of bearing characteristics and modal analysis of flexible rotors obsolete. This eliminates the need for the related expensive measurement equipment, and result in a substantial...
An off-line maximum-likelihood identification is described to improve current propeller aircraft models. Additional sensors are used to better define the process and the measurement submodels. The GPS satellite navigation system in differential mode (DGPS) is used to obtain more precise...
The paper deals with a mathematical magnetic field model for evaluating the magnetic iron losses in steel laminations which are used in electric machinery. The magnetic hysteresis and the eddy current effects are directly and simultaneously taken into account. Hereby, the commonly used analytic...
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