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<dc:title xml:lang="pl"><![CDATA[T-S fuzzy BIBO stabilisation of non-linear systems under persistent perturbations using fuzzy Lyapunov functions and non-PDC control laws]]></dc:title>
<dc:creator><![CDATA[Salcedo, José V.]]></dc:creator>
<dc:creator><![CDATA[Martínez, Miguél]]></dc:creator>
<dc:creator><![CDATA[García-Nieto, Sergio]]></dc:creator>
<dc:creator><![CDATA[Hilario, Adolfo]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[linear matrix inequalities]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[Takagi-Suegno fuzzy systems]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[fuzzy Lyapunov functions]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[integral delayed Lyapunov functions (IDLFs)]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[non-parallel distributed fuzzy controllers (non-PDC)]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[generalised inescapable ellipsoids]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[This paper develops an innovative approach for designing non-parallel distributed fuzzy controllers for continuous-time non-linear systems under persistent perturbations. Non-linear systems are represented using Takagi-Sugeno fuzzy models. These non-PDC controllers guarantee bounded input bounded output stabilisation in closed-loop throughout the computation of generalised inescapable ellipsoids. These controllers are computed with linear matrix inequalities using fuzzy Lyapunov functions and integral delayed Lyapunov functions. LMI conditions developed in this paper provide non-PDC controllers with a minimum *-norm (upper bound of the 1-norm) for the T-S fuzzy system under persistent perturbations.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The results presented in this paper can be classified into two categories: local methods based on fuzzy Lyapunov functions with guaranteed bounds on the first derivatives of membership functions and global methods based on integral-delayed Lyapunov functions which are independent of the first derivatives of membership functions. The benefits of the proposed results are shown through some illustrative examples.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Kołodziej, Joanna - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Pllana, Sabri - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Vitabile , Salvatore - ed.]]></dc:contributor>
<dc:date><![CDATA[2020]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/86146/AMCS_2020_30_3_10.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/101238/edition/86146/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:86146]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 30, number 3 (2020)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=117]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:101238]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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