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<dc:title xml:lang="pl"><![CDATA[Indirect adaptive controller based on a self-structuring fuzzy system for nonlinear modeling and control]]></dc:title>
<dc:creator><![CDATA[Qi, Ruiyun]]></dc:creator>
<dc:creator><![CDATA[Brdys, Mietek A.]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[fuzzy control]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[self-structuring fuzzy model]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[on-line modeling]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[stability]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[In this paper, a unified nonlinear modeling and control scheme is presented. A self-structuring Takagi-Sugeno (T-S) fuzzy model is used to approximate the unknown nonlinear plant based on I/O data collected on-line. Both the structure and the parameters of the T-S fuzzy model are updated by an on-line clustering method and a recursive least squares estimation (RLSE) algorithm. The rules of the fuzzy model can be added, replaced or deleted on-line to allow a more flexible and compact model structure.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The overall controller consists of an indirect adaptive controller and a supervisory controller. The former is the dominant controller, which maintains the closed-loop stability when the fuzzy system is a good approximation of the nonlinear plant. The latter is an auxiliary controller, which is activated when the tracking error reaches the boundary of a predefined constraint set. It is proven that global stability of the closed-loop system is guaranteed in the sense that all the closed-loop signals are bounded and simulation examples demonstrate the effectiveness of the proposed control scheme.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Zieliński, Cezary - 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/78799/AMCS_2009_19_4_9.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/88590/edition/78799/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:78799]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 19, number 4 (2009)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=39]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:88590]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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