Search for dissertations about: "dynamical system approach"
Showing result 1 - 5 of 97 swedish dissertations containing the words dynamical system approach.
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1. Optimal input design for nonlinear dynamical systems : a graph-theory approach
Abstract : Optimal input design concerns the design of an input sequence to maximize the information retrieved from an experiment. The design of the input sequence is performed by optimizing a cost function related to the intended model application. Several approaches to input design have been proposed, with results mainly on linear models. READ MORE
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2. Initialization Methods for System Identification
Abstract : 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. READ MORE
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3. On performance analysis of subspace methods in system identification and sensor array processing
Abstract : This thesis addresses the issue of performance analysis of subspace-based parameter estimation methods in two different applications, namely system identification and sensor array processing. The objective is to study the quality of the estimated models as the amount of data increases, and to suggest improvements and give user guidelines. READ MORE
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4. Continuous-time System Identification : Refined Instrumental Variables and Sampling Assumptions
Abstract : Continuous-time system identification deals with the problem of building continuous-time models of dynamical systems from sampled input and output data. There are two main approaches in this field: indirect and direct. In the indirect approach, a suitable discrete-time model is first determined, and then it is transformed into continuous-time. READ MORE
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5. Regressor and Structure Selection : Uses of ANOVA in System Identification
Abstract : Identification of nonlinear dynamical models of a black box nature involves both structure decisions (i.e., which regressors to use and the selection of a regressor function), and the estimation of the parameters involved. READ MORE