Comparative boundary and sensitivity analysis for uncertain dynamical systems

dc.contributor.authorOrłowski, Przemysław
dc.contributor.organizationTechnical University of Szczecinpl_PL
dc.date.accessioned2023-05-31T11:33:18Z
dc.date.available2023-05-31T11:33:18Z
dc.date.issued2002
dc.description.abstractThe paper develops analysis for models of uncertainty for dynamical, discretetime control systems on finite time horizon. Various models of uncertainty are analysed: additive, subtractive, and multiplicative. An analysis for electrical circuit with real, perturbed parameters is carried out. It is assumed, that the uncertain parameters are bounded, and could be described by rectangular distribution. A few cases of systems are considered. In the first case system is time-invariant. In the second case, system is time variant. Output errors are estimated using discrete evolution operators. As a comparison sensitivity analysis for time-invariant sis has been carried out. The results from estimations are compared to the set of the worst-case uncertain parameters related to output error.pl_PL
dc.identifier.citationOrłowski P. (2002). Comparative boundary and sensitivity analysis for uncertain dynamical systems. W: Proceedings of the 8th IEEE International Conference on Methods and Models in Automation and Robotics. Szczecin, 2-5 September 2002. Vol.1, Control theory. Identification and signal processing. Neural networks and fuzzy logic. Szczecin: Wydawnictwo Uczelniane Politechniki Szczecińskiej. S. 281-286. https://hdl.handle.net/20.500.12539/1772pl_PL
dc.identifier.urihttps://hdl.handle.net/20.500.12539/1772
dc.language.isoenpl_PL
dc.page.number281-286
dc.publisherWydawnictwo Uczelniane Politechniki Szczecińskiejpl_PL
dc.rightsUznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/*
dc.sourceProceedings of the 8th IEEE International Conference on Methods and Models in Automation and Robotics. [MMAR 2002], Szczecin, 2-5 September 2002. Vol.1, Control theory. Identification and signal processing. Neural networks and fuzzy logic.en
dc.subjectDisturbed Systemsen
dc.subjectEstimationen
dc.subjectSampled Data Systemsen
dc.subjectState Space Modelen
dc.subject.otherDyscyplina::Nauki inżynieryjno-technicznepl_PL
dc.titleComparative boundary and sensitivity analysis for uncertain dynamical systemsen
dc.typeconferenceObjectpl_PL

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