LEADER 02609nam 2200625Ia 450 001 9910785078703321 005 20230422045047.0 010 $a0-19-756129-2 010 $a1-280-76061-3 010 $a9786610760619 010 $a0-19-535281-5 035 $a(CKB)1000000000410686 035 $a(EBL)431187 035 $a(OCoLC)666993136 035 $a(SSID)ssj0000139840 035 $a(PQKBManifestationID)11132227 035 $a(PQKBTitleCode)TC0000139840 035 $a(PQKBWorkID)10029261 035 $a(PQKB)10353980 035 $a(MiAaPQ)EBC431187 035 $a(StDuBDS)EDZ0002341397 035 $a(Au-PeEL)EBL431187 035 $a(CaPaEBR)ebr10278580 035 $a(CaONFJC)MIL76061 035 $a(EXLCZ)991000000000410686 100 $a19981119d1999 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDiscrete-time dynamic models$b[electronic resource] /$fRonald K. Pearson 210 $aNew York $cOxford University Press$d1999 215 $a1 online resource (481 p.) 225 1 $aTopics in chemical engineering 300 $aPreviously issued in print: 1999. 311 $a0-19-512198-8 320 $aIncludes bibliographical references (p. 451-459) and index. 327 $aContents; 1 Motivations and Perspectives; 2 Linear Dynamic Models; 3 Four Views of Nonlinearity; 4 NARMAX Models; 5 Volterra Models; 6 Linear Multimodels; 7 Relations between Model Classes; 8 The Art of Model Development; Bibliography; Index 330 8 $aFuelled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modelling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fills the gap, providing practical insight into model selection for chemical processes and emphasizing structures suitable for control system design. 410 0$aTopics in chemical engineering (Oxford University Press) 606 $aChemical process control$xMathematical models 606 $aChemical process control$xComputer simulation 615 0$aChemical process control$xMathematical models. 615 0$aChemical process control$xComputer simulation. 676 $a660.2815 676 $a660/.2815 700 $aPearson$b Ronald K.$f1952-$0772003 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785078703321 996 $aDiscrete-time dynamic models$93797060 997 $aUNINA