000 03026nam a22004455i 4500
001 978-3-642-24663-0
003 DE-He213
005 20140220083304.0
007 cr nn 008mamaa
008 111107s2012 gw | s |||| 0|eng d
020 _a9783642246630
_9978-3-642-24663-0
024 7 _a10.1007/978-3-642-24663-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aCastillo, Oscar.
_eauthor.
245 1 0 _aType-2 Fuzzy Logic in Intelligent Control Applications
_h[electronic resource] /
_cby Oscar Castillo.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aX, 190 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v272
505 0 _aPart I: Basic Concepts and Theory -- Part II Evolutionary Optimization of Type-2 Fuzzy Systems for Intelligent Control -- Part III Bio-Inspired Optimization of Type-2 Fuzzy Sys-tems in Intelligent Control.
520 _aWe describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642246623
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v272
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-24663-0
912 _aZDB-2-ENG
999 _c102318
_d102318