Search for dissertations about: "nonlinear models"

Showing result 1 - 5 of 384 swedish dissertations containing the words nonlinear models.

  1. 1. Linear Models of Nonlinear Systems

    University dissertation from Institutionen för systemteknik

    Author : Martin Enqvist; Linköpings universitet.; Linköpings universitet.; [2005]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; linear models; nonlinear systems; system identification; stochastic processes; linearization; mean-square error; TECHNOLOGY Information technology Automatic control; TEKNIKVETENSKAP Informationsteknik Reglerteknik;

    Abstract : 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. READ MORE

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

    University dissertation from KTH Royal Institute of Technology

    Author : Mohamed Abdalmoaty; KTH.; [2019]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 3. Some Results on Linear Models of Nonlinear Systems

    University dissertation from Linköping, Sweden : Linköpings universitet

    Author : Martin Enqvist; Linköpings universitet.; Linköpings universitet.; [2003]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System identification; Linear models; Nonlinear systems; TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : Linear time-invariant approximations of nonlinear systems are used in many a pplications. Such approximations can be obtained in many ways. READ MORE

  4. 4. Probabilistic Sequence Models with Speech and Language Applications

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Gustav Eje Henter; KTH.; [2013]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time series; acoustic modelling; speech synthesis; stochastic processes; causal-state splitting reconstruction; robust causal states; pattern discovery; Markov models; HMMs; nonparametric models; Gaussian processes; Gaussian process dynamical models; nonlinear Kalman filters; information theory; minimum entropy rate simplification; kernel density estimation; time-series bootstrap;

    Abstract : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. READ MORE

  5. 5. On Simplification of Models with Uncertainty

    University dissertation from Department of Automatic Control, Lund Institute of Technology (LTH)

    Author : Lennart Andersson; Lunds universitet.; Lund University.; [1999]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Linear matrix inequalities LMIs ; Integral quadratic constraints IQCs ; Linearization; Nonlinear Models; Uncertainty; Power systems; Robustness analysis; Error bounds; Model simplification; Model reduction; Automation; robotics; control engineering; Automatiska system; robotteknik; reglerteknik;

    Abstract : 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. READ MORE