Sökning: "Automatic identification systems"
Visar resultat 11 - 15 av 70 avhandlingar innehållade orden Automatic identification systems.
11. On identification of endocrine systems
Sammanfattning : System identification finds nowadays application in various areas of biomedical research as a tool of empiric mathematical modeling and model individualization. Hormone regulation is a classical example of biological feedback where control theories, in general, and system identification, in particular, are indispensable in unraveling the regulation mechanisms and explicating the complex dynamical phenomena arising in endocrine systems. LÄS MER
12. Capturing and Analysing Emotions to Support Organisational Learning : The Affect Based Learning Matrix
Sammanfattning : This thesis deals with the importance of managing employees’ thoughts and feelings in relation to organisational learning. To visualise and to identify affections within organisations is of major importance since most of our actions and the decisions we make are steered by our emotions rather than rational thinking. LÄS MER
13. 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
14. Estimation of Nonlinear Dynamic Systems : Theory and Applications
Sammanfattning : This thesis deals with estimation of states and parameters in nonlinear and non-Gaussian dynamic systems. Sequential Monte Carlo methods are mainly used to this end. These methods rely on models of the underlying system, motivating some developments of the model concept. LÄS MER
15. Modeling and Control of Bilinear Systems : Application to the Activated Sludge Process
Sammanfattning : This thesis concerns modeling and control of bilinear systems (BLS). BLS are linear but not jointly linear in state and control. In the first part of the thesis, a background to BLS and their applications to modeling and control is given. LÄS MER