LEADER 02148oam 2200553zu 450 001 9910877537203321 005 20230617012520.0 010 $a0-470-01409-1 010 $a9786610554140 010 $a1-280-55414-2 035 $a(CKB)111082128275138 035 $a(SSID)ssj0000219832 035 $a(PQKBManifestationID)11187131 035 $a(PQKBTitleCode)TC0000219832 035 $a(PQKBWorkID)10229628 035 $a(PQKB)11391518 035 $a(MiAaPQ)EBC4956896 035 $a(Au-PeEL)EBL4956896 035 $a(CaONFJC)MIL55414 035 $a(OCoLC)1024249731 035 $a(EXLCZ)99111082128275138 100 $a20160829d2003 uy 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPerformance of nonlinear approximate adaptive controllers 210 31$a[Place of publication not identified]$cJohn Wiley & Sons Incorporated$d2003 215 $a1 online resource (399 pages) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-471-49809-2 311 $a0-470-84607-0 330 $aNon-linear adaptive control refers to automated systems with a degree of artificial intelligence. At the turn of the 21st century, there has been wide interest in non-linear adaptive control using approximate models, either for tracking or regulation, and usually under the banner of neural network based control. This book describes the approximate model philosophy and its setting, and rigorously compares the performance of such controls against competing models. 606 $aOperations Research$2HILCC 606 $aCivil & Environmental Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 615 7$aOperations Research 615 7$aCivil & Environmental Engineering 615 7$aEngineering & Applied Sciences 676 $a621.3981 700 $aFrench$b Mark$0941095 702 $aRogers$b Eric 702 $aSzepesvári$b Csaba 801 0$bPQKB 906 $aBOOK 912 $a9910877537203321 996 $aPerformance of nonlinear approximate adaptive controllers$94186052 997 $aUNINA