LEADER 01244cam a2200325 i 4500 001 991001327409707536 008 051114r19971935mau 001 0 eng d 020 $a0674993179 035 $ab13355582-39ule_inst 040 $aDip.to Studi Giuridici$bita 041 0 $aenggrc 100 1 $aAristoteles$04207 245 14$aThe Metaphysics :$bbooks 10.-14. ; Oeconomica ; Magna Moralia /$cAristotle ; traslated by Hugh Tredennick [for Metaphysics, Cyril Armstrong [for Oeconomica and Magna moralia] 260 $aCambridge, Mass. ;$aLondon :$bHarvard University press,$c1997 300 $ax, 688 p. ;$c17 cm 440 0$aAristotle ;$v18 440 4$aThe Loeb classical library [Autori greci] ;$v287 546 $aTrad. inglese con testo orig. a fronte 600 04$aAristotele 700 1 $aTredennick, Hugh 700 1 $aArmstrong, Cyril 740 02$aMetaphysica 740 02$aOeconomica 740 02$aMagna Moralia 907 $a.b13355582$b21-09-06$c15-11-05 912 $a991001327409707536 945 $aLE027 R-XXVI/LG ARI G 2$cV. 18$g1$i2027000148660$lle027$o-$pE21.40$q-$rn$so $t0$u0$v0$w0$x0$y.i14161424$z01-12-05 996 $aMetaphysica$912962 997 $aUNISALENTO 998 $ale027$b14-11-05$cm$da $e-$feng$gmau$h4$i0 LEADER 03258nam 22006015 450 001 9910863145103321 005 20251113191735.0 010 $a9783030621339 010 $a3030621332 024 7 $a10.1007/978-3-030-62133-9 035 $a(CKB)4100000011585997 035 $a(MiAaPQ)EBC6403596 035 $a(DE-He213)978-3-030-62133-9 035 $a(PPN)252508378 035 $a(EXLCZ)994100000011585997 100 $a20201119d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDifferential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control /$fby Oscar Castillo, Patricia Ochoa, Jose Soria 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (VII, 61 p. 47 illus., 42 illus. in color.) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3712 311 08$a9783030621322 311 08$a3030621324 330 $aThis book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers? behavior in complex control problems. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3712 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aControl engineering 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aControl and Systems Theory 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aControl engineering. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aControl and Systems Theory. 676 $a511.3 700 $aCastillo$b Oscar$0762265 702 $aOchoa$b Patricia 702 $aSoria$b Jose? 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863145103321 996 $aDifferential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control$92846066 997 $aUNINA