LEADER 03959nam  22007095  450 
001 9910299731703321
005 20251230061153.0
010   $a3-319-05945-9
024 7 $a10.1007/978-3-319-05945-7
035   $a(CKB)2670000000548026
035   $a(EBL)1697948
035   $a(OCoLC)881166023
035   $a(SSID)ssj0001186839
035   $a(PQKBManifestationID)11787417
035   $a(PQKBTitleCode)TC0001186839
035   $a(PQKBWorkID)11240589
035   $a(PQKB)10149707
035   $a(MiAaPQ)EBC1697948
035   $a(DE-He213)978-3-319-05945-7
035   $a(PPN)177823658
035   $a(EXLCZ)992670000000548026
100   $a20140320d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aAdvances in Soft Computing, Intelligent Robotics and Control /$fedited by János Fodor, Robert Fullér
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (318 p.)
225 1 $aTopics in Intelligent Engineering and Informatics,$x2193-942X ;$v8
300   $aDescription based upon print version of record.
311 08$a3-319-05944-0 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aIntelligent Robotics and Control -- Soft Computing -- Applied Mathematics.
330   $aSoft computing, intelligent robotics and control are in the core interest of contemporary engineering. Essential characteristics of soft computing methods are the ability to handle vague information, to apply human-like reasoning, their learning capability, and ease of application. Soft computing techniques are widely applied in the control of dynamic systems, including mobile robots. The present volume is a collection of 20 chapters written by respectable experts of the fields, addressing various theoretical and practical aspects in soft computing, intelligent robotics and control. The first part of the book concerns with issues of intelligent robotics, including robust xed point transformation design, experimental verification of the input-output feedback linearization of differentially driven mobile robot and applying kinematic synthesis to micro electro-mechanical systems design. The second part of the book is devoted to fundamental aspects of soft computing. This includes practical aspects of fuzzy rule interpolation, subjective weights based meta learning in multi criteria decision making, swarm-based heuristics for an area exploration and knowledge driven adaptive product representations. The last part addresses different problems, issues and methods of applied mathematics. This includes perturbation estimates for invariant subspaces of Hessenberg matrices, uncertainty and nonlinearity modelling by probabilistic metric spaces and comparison and visualization of the DNA of six primates.
410  0$aTopics in Intelligent Engineering and Informatics,$x2193-942X ;$v8
606   $aComputational intelligence
606   $aControl engineering
606   $aRobotics
606   $aAutomation
606   $aComputational Intelligence
606   $aControl and Systems Theory
606   $aControl, Robotics, Automation
615  0$aComputational intelligence.
615  0$aControl engineering.
615  0$aRobotics.
615  0$aAutomation.
615 14$aComputational Intelligence.
615 24$aControl and Systems Theory.
615 24$aControl, Robotics, Automation.
676   $a006.3
702   $aFodor$b János$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aFullér$b Robert$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299731703321
996   $aAdvances in Soft Computing, Intelligent Robotics and Control$92075324
997   $aUNINA