Extension of SVD-DFT analysis for a class of non-linear systems

Uproszczony widok
dc.contributor.authorOrłowski, Przemysław
dc.contributor.organizationTechnical University of Szczecin, Control Engineering Instituteen
dc.date.accessioned2023-06-02T06:36:09Z
dc.date.available2023-06-02T06:36:09Z
dc.date.issued2006
dc.description.abstractThe paper develops computer algebra based method and tools for a class of non-linear time-varying (LTV), discrete-time systems. Proposed method base on two following transformations: from general NL system into state-space dependent piecewise linear (PWL) and from PWL into LTV. LTV system is then decomposed using method based on Singular Value Decomposition, Discrete Fourier Transform and Power Spectral Density into approximated Bode diagrams. Potential applications are simplified analysis and synthesis in frequency domain of weak and/or slow nonlinear systems. Especially the synthesis can be done for each time instant which pretend the method for applications in predictive control. The paper begins from short literature review, description of the model, detailed algorithm with description of the proposed method and two numerical examples.pl_PL
dc.formatCD-ROM
dc.identifier.citationOrłowski P. (2006). Extension of SVD-DFT analysis for a class of non-linear systems. In: International Control Conference ICC2006, 30.08-01.09.2006, Glasgow, Scotland. [CD-ROM]. https://hdl.handle.net/20.500.12539/1775pl_PL
dc.identifier.urihttps://hdl.handle.net/20.500.12539/1775
dc.language.isoenpl_PL
dc.page.number1-6
dc.rightsUznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/*
dc.sourceInternational Control Conference ICC2006
dc.subjectNon-linear systemspl_PL
dc.subjectDiscrete-time systemsen
dc.subjectFrequency methodsen
dc.subjectTime-varying systemsen
dc.subject.otherDyscyplina::Nauki inżynieryjno-technicznepl_PL
dc.titleExtension of SVD-DFT analysis for a class of non-linear systemspl_PL
dc.typeconferenceObjectpl_PL

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