LEADER 04939oam 2200685Mu 450 001 9910254958103321 005 20191114074228.0 010 $a3-319-42258-8 024 7 $a10.1007/978-3-319-42258-9 035 $a(CKB)3710000000909090 035 $a(DE-He213)978-3-319-42258-9 035 $a(MiAaPQ)EBC5577363 035 $a(OCoLC)966104210 035 $a(OCoLC-P)966104210 035 $a(FlBoTFG)9780429116902 035 $a(PPN)228320135 035 $a(EXLCZ)993710000000909090 100 $a20161208d2016 uy 0 101 0 $aeng 135 $aur|n||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to Process Control /$fVictor A. Skormin 205 $a1st ed. 2016. 210 $a[Place of publication not identified]$cSpringer International Publishing Switzerland$d2016 215 $a1 online resource (XVII, 254 p. 106 illus., 50 illus. in color.) 225 1 $aSpringer Texts in Business and Economics,$x2192-4333 300 $aTitle from content provider. 311 $a3-319-42257-X 320 $aIncludes bibliographical references and index. 327 $aStatistical Methods and their Applications -- Mathematical Description of Manufacturing Processes -- Computer Control of Manufacturing Processes -- Methods and Models of Optimazation. . 330 $aThis textbook is intended for an introductory graduate level on process control, taught in most engineering curricula. It focuses on the statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and optimization of multivariable manufacturing processes. In four sections, it covers: Relevant mathematical methods, including random events, variables and processes, and their characteristics; estimation and confidence intervals; Bayes applications; correlation and regression analysis; statistical cluster analysis; and singular value decomposition for classification applications. Mathematical description of manufacturing processes, including static and dynamic models; model validation; confidence intervals for model parameters; principal component analysis; conventional and recursive least squares procedures; nonlinear least squares; and continuous-time, discrete-time, s-domain and Z-domain models. Control of manufacturing processes, including transfer function/transfer matrix models; state-variable models; methods of discrete-time classical control; state variable discrete-time control; state observers/estimators in control systems; methods of decoupling control; and methods of adaptive control. Methods and applications of system optimization, including unconstrained and constrained optimization; analytical and numerical optimization procedures; use of penalty functions; methods of linear programming; gradient methods; direct search methods; genetic optimization; methods and applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end-of-chapter exercises, and the book will be suitable for any systems, electrical, chemical, or industrial engineering program, as it focuses on the processes themselves, and not on the product being manufactured. Students will be able to obtain a mathematical model of any manufacturing process, to design a computer-based control system for a particular continuous manufacturing process, and be able to formulate an engineering problem in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique. 410 0$aSpringer Texts in Business and Economics,$x2192-4333 606 $aOperations research 606 $aDecision making 606 $aManagement information systems 606 $aIndustrial management 606 $aIndustrial engineering 606 $aProduction engineering 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aBusiness Process Management$3https://scigraph.springernature.com/ontologies/product-market-codes/522020 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 615 0$aOperations research. 615 0$aDecision making. 615 0$aManagement information systems. 615 0$aIndustrial management. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 14$aOperations Research/Decision Theory. 615 24$aBusiness Process Management. 615 24$aIndustrial and Production Engineering. 676 $a658.40301 700 $aSkormin$b Victor A$0980124 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910254958103321 996 $aIntroduction to Process Control$92235686 997 $aUNINA LEADER 01424nam0 22002891i 450 001 UON00008421 005 20231205101922.139 100 $a20020107d1993 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| 1|||| 200 1 $aRiti nuziali in Turchia$fCrescenzo di Ricco 210 $aNapoli$cIstituto Univ. 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