LEADER 02144nam 2200505 450 001 9910160285903321 005 20230810001756.0 010 $a1-119-34095-0 010 $a1-119-34094-2 035 $a(CKB)3710000001024822 035 $a(MiAaPQ)EBC4790363 035 $a(Au-PeEL)EBL4790363 035 $a(CaPaEBR)ebr11332854 035 $a(CaONFJC)MIL989117 035 $a(OCoLC)970637586 035 $a(EXLCZ)993710000001024822 100 $a20170206h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aRobust control optimization with metaheuristics /$fPhilippe Feyel 210 1$aLondon, [England] :$cISTE,$d2017. 210 4$dİ2017 215 $a1 online resource (453 pages) $cillustrations, tables 225 1 $aSystems and Industrial Engineering Robotics Series 311 $a1-78630-042-7 311 $a1-119-34096-9 320 $aIncludes bibliographical references and index. 330 8 $aIn the automotive industry, a Control Engineer must design a unique control law that is then tested and validated on a single prototype with a level of reliability high enough to to meet a number of complex specifications on various systems. In order to do this, the Engineer uses an experimental iterative process (Trial and Error phase) which relies heavily on his or her experience. This book looks to optimise the methods for synthesising servo controllers ny making them more direct and thus quicker to design. This is achieved by calculating a final controller to directly tackle the high-end system specs. 410 0$aSystems and Industrial Engineering Robotics Series. 606 $aHeuristic programming 606 $aMathematical optimization 615 0$aHeuristic programming. 615 0$aMathematical optimization. 676 $a620.0015196 700 $aFeyel$b Philippe$0893212 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910160285903321 996 $aRobust control optimization with metaheuristics$91994968 997 $aUNINA