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<dc:title xml:lang="pl"><![CDATA[Evolutionary optimization of interval mathematics-based design of a TSK fuzzy controller for anti-sway crane control]]></dc:title>
<dc:creator><![CDATA[Smoczek, Jarosław]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[interval mathematics]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[pole placement method]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[evolutionary algorithms]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[fuzzy logic]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[TSK controller]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[anti-sway crane control]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[A hybrid method combining an evolutionary search strategy, interval mathematics and pole assignment-based closed-loop control synthesis is proposed to design a robust TSK fuzzy controller. The design objective is to minimize the number of linear controllers associated with rule conclusions and tune the triangular-shaped membership function parameters of a fuzzy controller to satisfy stability and desired dynamic performances in the presence of system parameter variation.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The robust performance objective function is derived based on an interval Diophantine equation. Thus, the objective of a fuzzy logic-based control scheme is to place all the closed-loop control system characteristic polynomial coefficients within desired intervals. The reproduction process in the proposed Evolutionary Algorithm (EA) is based on the arithmetical crossover, uniform and non-uniform mutation along with gene deletion/insertion mutation ensuring a diversity of genomes sizes, as well as a diversity in the parameter space of membership functions.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The proposed algorithm was implemented to design a fuzzy logic-based anti-sway crane control system taking into consideration the rope length and the mass of a payload variation. The results of experiments conducted using the EA for different conditions assumed for system parameter intervals and desired closed-loop system performances are compared with results achieved using the iterative procedure which is also described in the paper.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Korbicz, Józef (1951- ) - red.]]></dc:contributor>
<dc:contributor><![CDATA[Uciński, Dariusz - red.]]></dc:contributor>
<dc:date><![CDATA[2013]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/78883/AMCS_2013_23_4_5.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/88695/edition/78883/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:78883]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 23, number 4 (2013)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=55]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:88695]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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