01273nam a2200361 i 450099100228456970753620020508193621.0990301s1972 fr ||| | fre b10986509-39ule_instPARLA158751ExLDip.to Scienze dell'Antichitàitafrelat870.01Plautus, Titus Maccius166580Cistellaria; Curculio ; Epidicus /Plautus ; texte établi et traduit par Alfred Ernout4. tirageParis :Les Belles Lettres,1972pagin. varia ;20 cm.Collection des Universités de France. Série latineTesto latino a fronteTit. in cop.: ComédiesPlauto, Tito Maccio - CistellariaPlauto, Tito Maccio - CurculioPlauto, Tito Maccio - EpidicusErnout, AlfredCurculioEpidicus.b1098650923-02-1728-06-02991002284569707536LE007 I Coll. 4 Plautus 0312015000032171le007-E0.00-no 00000.i1110001128-06-02Epidicus19632UNISALENTOle00701-01-99ma -frefr 0103291nam 22005415 450 991076547750332120251009101349.09783031460883303146088X10.1007/978-3-031-46088-3(MiAaPQ)EBC30949282(Au-PeEL)EBL30949282(CKB)28861778300041(DE-He213)978-3-031-46088-3(EXLCZ)992886177830004120231115d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierType-3 Fuzzy Logic in Intelligent Control /by Oscar Castillo, Patricia Melin1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (89 pages)SpringerBriefs in Computational Intelligence,2625-3712Print version: Castillo, Oscar Type-3 Fuzzy Logic in Intelligent Control Cham : Springer International Publishing AG,c2023 9783031460876 Type-3 Fuzzy Control -- Type-3 Fuzzy Theory -- Review of Type-3 Fuzzy Control -- Approach for Type-3 Fuzzy Control -- Fuzzy Differential Evolution for Optimal Fuzzy Controller Parameterization -- Interval Type-3 Fuzzy Parameter Adaptation in Harmony Search Optimal Controller Design -- Conclusion of Interval Type-3 Fuzzy Control.This book focuses on the field of type-3 fuzzy logic, also considering metaheuristics for applications in the control area. The main idea is that these areas together can solve various control problems and find better results. In this book, we test the proposed method using several benchmark problems, such as the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. We notice that when interval type-3 fuzzy systems are implemented to model the behavior of the systems, the results in control show a better stabilization, because the management of uncertainty is better. For this reason, we consider in this book the proposed method using type-3 fuzzy systems, fuzzy controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving problems in intelligent control.We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.SpringerBriefs in Computational Intelligence,2625-3712Computational intelligenceEngineering mathematicsComputational IntelligenceEngineering MathematicsComputational intelligence.Engineering mathematics.Computational Intelligence.Engineering Mathematics.006.3Castillo Oscar762265Melin Patricia762263MiAaPQMiAaPQMiAaPQBOOK9910765477503321Type-3 Fuzzy Logic in Intelligent Control3644643UNINA