Sökning: "Martin Enqvist"
Visar resultat 11 - 15 av 17 avhandlingar innehållade orden Martin Enqvist.
11. Indirect System Identification for Unknown Input Problems : With Applications to Ships
Sammanfattning : System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully known. In this thesis, existing approaches to unknown input problems are classified and some of their properties are analyzed. LÄS MER
12. Estimation of Nonlinear Greybox Models for Marine Applications
Sammanfattning : As marine vessels are becoming increasingly autonomous, having accurate simulation models available is turning into an absolute necessity. This holds both for facilitation of development and for achieving satisfactory model-based control. LÄS MER
13. Identification of Nonlinear Marine Systems
Sammanfattning : As marine vessels are becoming increasingly automated, having accurate simulation models available is turning into an absolute necessity. This holds both for the facilitation of development and for achieving satisfactory model-based control. LÄS MER
14. Initialization Methods for System Identification
Sammanfattning : In the system identification community a popular framework for the problem of estimating a parametrized model structure given a sequence of input and output pairs is given by the prediction-error method. This method tries to find the parameters which maximize the prediction capability of the corresponding model via the minimization of some chosen cost function that depends on the prediction error. LÄS MER
15. Structural Reformulations in System Identification
Sammanfattning : In system identification, the choice of model structure is important and it is sometimes desirable to use a flexible model structure that is able to approximate a wide range of systems. One such model structure is the Wiener class of systems, that is, systems where the input enters a linear time-invariant subsystem followed by a time-invariant nonlinearity. LÄS MER