Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5924
Title: Identification of nonlinear interconnected systems
Authors: Pepona, Eleni
Advisors: Date, P
Keywords: Linear fractional representation;Separable least squares;Piecewise affine maps
Issue Date: 2009
Publisher: Brunel University, School of Information Systems, Computing and Mathematics
Abstract: In this work we address the problem of identifying a discrete-time nonlinear system composed of a linear dynamical system connected to a static nonlinear component. We use linear fractional representation to provide a united framework for the identification of two classes of such systems. The first class consists of discrete-time systems consists of a linear time invariant system connected to a continuous nonlinear static component. The identification problem of estimating the unknown parameters of the linear system and simultaneously fitting a math order spline to the nonlinear data is addressed. A simple and tractable algorithm based on the separable least squares method is proposed for estimating the parameters of the linear and the nonlinear components. We also provide a sufficient condition on data for consistency of the identification algorithm. Numerical examples illustrate the performance of the algorithm. Further, we examine a second class of systems that may involve a nonlinear static element of a more complex structure. The nonlinearity may not be continuous and is approximated by piecewise a±ne maps defined on different convex polyhedra, which are defined by linear combinations of lagged inputs and outputs. An iterative identification procedure is proposed, which alternates the estimation of the linear and the nonlinear subsystems. Standard identification techniques are applied to the linear subsystem, whereas recently developed piecewise affine system identification techniques are employed for the estimation of the nonlinear component. Numerical examples show that the proposed procedure is able to successfully profit from the knowledge of the interconnection structure, in comparison with a direct black box identification of the piecewise a±ne system.
Description: This thesis was submitted for the degree of Master of Philosophy and awarded by Brunel University.
URI: http://bura.brunel.ac.uk/handle/2438/5924
Appears in Collections:Mathematical Science
Dept of Mathematics Theses

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