Chaos driven evolutionary algorithms for the task of PID control

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dc.contributor.author Davendra, Donald
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.date.accessioned 2010-09-10T08:01:14Z
dc.date.available 2010-09-10T08:01:14Z
dc.date.issued 2010
dc.identifier.citation Computers & mathematics with applications. 2010, vol. 60, issue 4, p. 1088-1104. en
dc.identifier.issn 0898-1221
dc.identifier.uri http://hdl.handle.net/10084/78372
dc.description.abstract Chaos driven Differential Evolution algorithm and Self-Organizing Migrating Algorithm are presented in this paper for the task of PID (Proportional–Integral–Derivative) controller optimization. The dissipative chaotic Lozi map is embedded as a number generator inside DE and SOMA in order to avoid local optima stagnation and embed a superior search strategy. Three unique PID controller problems are presented and successfully resolved using these new approaches. The obtained results compare favorably with published results. en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.ispartofseries Computers & mathematics with applications en
dc.relation.uri http://dx.doi.org/10.1016/j.camwa.2010.03.066 en
dc.subject chaos maps en
dc.subject differential evolution en
dc.subject self-organizing migrating algorithm en
dc.subject PID controller en
dc.title Chaos driven evolutionary algorithms for the task of PID control en
dc.type Article en
dc.identifier.location Není ve fondu ÚK en
dc.identifier.doi 10.1016/j.camwa.2010.03.066
dc.identifier.wos 000281175200016

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