Numerical implementation of a new identification tecnique for wiener system
Document typeMaster thesis
Rights accessRestricted access - author's decision
Wiener model is a nonlinear representation of systems composed by the coupling of a linear system L and a static nonlinearity N in the form L-N. This model can represent real processes which made it popular in the last decades. The problem of identifying the static nonlinearity and linear system is not a trivial task which has attracted a lot of research interest. In a recent work [I2010], a new methodology for the identification of this system has been proposed. The objective of this thesis is to implement this methodology using numerical simulations. To this end, a real-life Wiener process is taken from the literature. The objective of the study is to program the identification technique of [I2010] using MATLAB/SIMULINK. The inputs are generated by subroutine and the outputs are calculated using the numerical model implemented in MATLAB/SIMULINK. Then, using these input/output data, the unknown static nonlinearity and linear process parameters are determined. The effect of noise on the accuracy of the estimates will also be explored.
SubjectsSystem identification, System analysis, Model theory, Nonlinear systems, Sistemes, Identificació dels (Informàtica), Anàlisi de sistemes -- Models matemàtics, Models, Teoria dels, Sistemes no lineals
ProvenanceAquest document conté originàriament altre material i/o programari no inclòs en aquest lloc web