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		<identifier>oai:zbc.uz.zgora.pl:85620</identifier>
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<dc:title xml:lang="pl"><![CDATA[Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation]]></dc:title>
<dc:creator><![CDATA[Xu, Feng]]></dc:creator>
<dc:creator><![CDATA[Puig, Vicenç]]></dc:creator>
<dc:creator><![CDATA[Ocampo-Martinez, Carlos]]></dc:creator>
<dc:creator><![CDATA[Olaru, Sorin]]></dc:creator>
<dc:creator><![CDATA[Niculescu, Silviu-Iulian]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[fault detection]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[fault isolation]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[set-theoretic method]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[fault-tolerant control]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[model predictive control]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[MPC can effectively deal with system constraints and uncertainties with relatively low computational complexity compared with other robust MPC techniques such as min-max MPC. Set-based FDI, generally considering the worst case of uncertainties, can robustly detect and isolate actuator faults. In the proposed FTC scheme, fault detection (FD) is passive by using invariant sets, while fault isolation (FI) is active by means of MPC and tubes.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[The active FI method proposed in this paper is implemented by making use of the constraint-handling ability of MPC to manipulate the bounds of inputs. After the system has been detected to become faulty, the input-constraint set of the MPC controller is adjusted to actively excite the system for achieving FI guarantees on-line, where an active FI-oriented input set is designed off-line. In this way, the system can be excited in order to obtain more extra system-operating information for FI than passive FI approaches.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Overall, the objective of this paper is to propose an actuator MPC scheme with as little as possible of FI conservatism and computational complexity by combining tube-based MPC and set theory within the framework of MPC, respectively. Finally, a case study is used to show the effectiveness of the proposed FTC scheme.]]></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[2017]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/85620/AMCS_2017_27_1_4.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/100594/edition/85620/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:85620]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 27, number 1 (2017)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=103]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:100594]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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