Sökning: "nonlinear parameter estimation"

Visar resultat 1 - 5 av 72 avhandlingar innehållade orden nonlinear parameter estimation.

  1. 1. Estimation of Nonlinear Dynamic Systems : Theory and Applications

    Författare :Thomas B. Schön; Fredrik Gustafsson; Simon Godsill; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Nonlinear estimation; system identification; Kalman filter; particle filter; marginalized particle filter; expectation maximization; automotive applications; Automatic control; Reglerteknik;

    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

  2. 2. Adsorption Isotherm Parameter Estimation in Nonlinear Liquid Chromatography

    Författare :Patrik Forssén; Bertil Gustafsson; Torgny Fornstedt; Georges Guiochon; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; High performance liquid chromatography HPLC ; Preparative chromatography; Competitive adsorption isotherm parameters; Perturbation peak PP method; Inverse method IM ; Computer simulation; Parameter estimation; Numerical method; Scientific Computing; Beräkningsvetenskap;

    Sammanfattning : This thesis concerns the development and validation of methods for the industrially important area of adsorption isotherm parameter estimation in preparative, nonlinear high performance liquid chromatography (HPLC). Preparative chromatography is a powerful separation method to get pure compounds from more or less complex liquid mixtures, e.g. LÄS MER

  3. 3. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions

    Författare :Mohamed Abdalmoaty; Håkan Hjalmarsson; Adrian Wills; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Prediction Error Method; Maximum Likelihood; Data-driven; Learning; Stochastic; Nonlinear; Dynamical Models; Non-stationary Linear Predictors; Intractable Likelihood; Latent Variable Models; Estimation; Process Disturbance; Electrical Engineering; Elektro- och systemteknik;

    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

  4. 4. Estimation Using Low Rank Signal Models

    Författare :Kaushik Mahata; Torsten Söderström; Mats Viberg; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; parameter estimation; separable least squares; statistical analysis; viscoelasticity; subspace algorithms; spectrum estimation; Signal processing; Signalbehandling;

    Sammanfattning : Designing estimators based on low rank signal models is a common practice in signal processing. Some of these estimators are designed to use a single low rank snapshot vector, while others employ multiple snapshots. This dissertation deals with both these cases in different contexts. LÄS MER

  5. 5. Methods for Simulation and Characterization of Nonlinear Mechanical Structures

    Författare :Martin Magnevall; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; nonlinear dynamics; nonlinear parameter estimation; harmonic balance; reverse-path; zero-memory nonlinear systems; hysteretic nonlinearities; dry-friction; geometric nonlinearities;

    Sammanfattning : Trial and error and the use of highly time-consuming methods are often necessary for modeling, simulating and characterizing nonlinear dynamical systems. However, for the rather common special case when a nonlinear system has linear relations between many of its degrees of freedom there are particularly interesting opportunities for more efficient approaches. LÄS MER