Sökning: "Frequency-domain identification"
Visar resultat 16 - 20 av 36 avhandlingar innehållade orden Frequency-domain identification.
16. System Identification of Flight Mechanical Characteristics
Sammanfattning : With the demand for more advanced fighter aircraft, relying on relaxed stability or even unstable flight mechanical characteristics to gain flight performance, more focus has been put on model-based system engineering to help with the design work. The flight control system design is one important part that relies on this modeling. LÄS MER
17. On Modeling and Control of Flexible Manipulators
Sammanfattning : Industrial robot manipulators are general-purpose machines used for industrial automation in order to increase productivity, flexibility, and quality. Other reasons for using industrial robots are cost saving, and elimination of heavy and health-hazardous work. LÄS MER
18. Identification of dynamic errors-in-variables models
Sammanfattning : The problem of identifying dynamic errors-in-variables models is of fundamental interest in many areas like process control, array signal processing, astronomical data reduction. In recent years, this field has received increased attention of the research community. LÄS MER
19. On Multivariable and Nonlinear Identification of Industrial Robots
Sammanfattning : The main objective of the thesis is the identification of flexibilities and nonlinearities in mathematical models of industrial robots. In particular, a nonparametric frequency-domain estimation method for the multivariable frequency response function (MFRF) has been evaluated and analyzed for the robot application. LÄS MER
20. Identification of State-Space Models from Time and Frequency Data
Sammanfattning : This dissertation considers the identication of linear multivariable systems using finite dimensional time-invariant state-space models.Parametrization of multivariable state-space models is considered. A full parametrization, where all elements in the state-space matrices are parameters, is introduced. LÄS MER