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<dc:title xml:lang="pl"><![CDATA[Verification techniques for sensitivity analysis and design of controllers for nonlinear dynamic systems with uncertainties]]></dc:title>
<dc:creator><![CDATA[Rauh, Andreas]]></dc:creator>
<dc:creator><![CDATA[Minisini, Johanna]]></dc:creator>
<dc:creator><![CDATA[Hofer, Eberhard P.]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[interval arithmetic]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[reachability analysis]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[observability analysis]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[robust stability]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[model-based design of optimal controllers]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Control strategies for nonlinear dynamical systems often make use of special system properties, which are, for example, differential flatness or exact input-output as well as input-to-state linearizability. However, approaches using these properties are unavoidably limited to specific classes of mathematical models. To generalize design procedures and to account for parameter uncertainties as well as modeling errors, an interval arithmetic approach for verified simulation of continuous-time dynamical system models is extended.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[These extensions are the synthesis, sensitivity analysis, and optimization of open-loop and closed-loop controllers. In addition to the calculation of guaranteed enclosures of the sets of all reachable states, interval arithmetic routines have been developed which verify the controllability and observability of the states of uncertain dynamic systems. Furthermore, they assure asymptotic stability of controlled systems for all possible operating conditions. Based on these results, techniques for trajectory planning can be developed which determine reference signals for linear and nonlinear controllers.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[For that purpose, limitations of the control variables are taken into account as further constraints. Due to the use of interval techniques, issues of the functionality, robustness, and safety of dynamic systems can be treated in a unified design approach. The presented algorithms are demonstrated for a nonlinear uncertain model of biological wastewater treatment plants.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Rauh, Andreas - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Auer, Ekaterina - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Hofer,Eberhard P. - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Luther, Wolfram - ed.]]></dc:contributor>
<dc:date><![CDATA[2009]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/78780/AMCS_2009_19_3_5.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/88556/edition/78780/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:78780]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 19, number 3 (2009)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=38]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:88556]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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