Sökning: "nonlinear models"
Visar resultat 1 - 5 av 419 avhandlingar innehållade orden nonlinear models.
- Detta är en avhandling från Institutionen för systemteknik
Sammanfattning : Linear time-invariant approximations of nonlinear systems are used in many applications and can be obtained in several ways. For example, using system identification and the prediction-error method, it is always possible to estimate a linear model without considering the fact that the input and output measurements in many cases come from a nonlinear system. LÄS MER
- Detta är en avhandling från KTH Royal Institute of Technology
Sammanfattning : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. LÄS MER
- Detta är en avhandling från Linköping, Sweden : Linköpings universitet
Sammanfattning : Linear time-invariant approximations of nonlinear systems are used in many a pplications. Such approximations can be obtained in many ways. LÄS MER
- Detta är en avhandling från Department of Automatic Control, Lund Institute of Technology (LTH)
Sammanfattning : Mathematical models are frequently used in control engineering for analysis, simulation, and design of control systems. Many of these models are accurate but may for some tasks be too complex. In such situations the model needs to be simplified to a suitable level of accuracy and complexity. LÄS MER
- Detta är en avhandling från Stockholm, Sweden : KTH Royal Institute of Technology
Sammanfattning : The estimation problem of stochastic nonlinear parametric models is recognized to be very challenging due to the intractability of the likelihood function. Recently, several methods have been developed to approximate the maximum likelihood estimator and the optimal mean-square error predictor using Monte Carlo methods. LÄS MER