LEADER 02174nas 2200601-a 450 001 996280027203316 005 20230222213018.0 011 $a1558-3872 035 $a(OCoLC)56916792 035 $a(CKB)991042754188240 035 $a(CONSER)--2005214296 035 $a(EXLCZ)99991042754188240 100 $a20041105b19972004 s-- a 101 0 $aeng 135 $aurcn||||||m|| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInternational Conference on Automated Software Engineering $e(ASE) 210 $aLos Alamitos, Calif. $cIEEE Computer Society, Conference Pub. Services$d©1997-©2004 300 $aTitle from contents screen, viewed Nov. 5, 2004. 311 $a1527-1366 517 1 $aAutomated software engineering 517 1 $aProceedings, ASE 517 3 $aASE 531 $aIEEE INTERNATIONAL AUTOMATED SOFTWARE ENGINEERING CONFERENCE 531 $aIEEE INTERNATIONAL CONFERENCE AUTOMATED SOFTWARE ENGINEERING 531 $aPROCEEDINGS 531 0 $aProc. 606 $aSoftware engineering$vCongresses 606 $aComputer-aided software engineering$vCongresses 606 $aExpert systems (Computer science)$vCongresses 606 $aComputer-aided software engineering$2fast$3(OCoLC)fst00872722 606 $aExpert systems (Computer science)$2fast$3(OCoLC)fst00918516 606 $aSoftware engineering$2fast$3(OCoLC)fst01124185 608 $aConference papers and proceedings.$2fast 608 $aPeriodicals.$2fast 615 0$aSoftware engineering 615 0$aComputer-aided software engineering 615 0$aExpert systems (Computer science) 615 7$aComputer-aided software engineering. 615 7$aExpert systems (Computer science) 615 7$aSoftware engineering. 676 $a006.3 712 02$aIEEE Computer Society. 712 02$aAmes Research Center. 712 02$aAmerican Association for Artificial Intelligence. 712 02$aSIGART. 712 02$aACM Sigsoft. 906 $aCONFERENCE 912 $a996280027203316 996 $aInternational Conference on Automated Software Engineering$91887036 997 $aUNISA LEADER 05089nam 22006375 450 001 9910299838403321 005 20200701085220.0 010 $a3-319-07263-3 024 7 $a10.1007/978-3-319-07263-0 035 $a(CKB)3710000000271796 035 $a(EBL)1965135 035 $a(SSID)ssj0001495366 035 $a(PQKBManifestationID)11806033 035 $a(PQKBTitleCode)TC0001495366 035 $a(PQKBWorkID)11450857 035 $a(PQKB)11060996 035 $a(DE-He213)978-3-319-07263-0 035 $a(MiAaPQ)EBC1965135 035 $a(PPN)186025025 035 $a(EXLCZ)993710000000271796 100 $a20150519d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPID Controller Tuning Using the Magnitude Optimum Criterion /$fby Konstantinos G. Papadopoulos 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (303 p.) 300 $aDescription based upon print version of record. 311 $a3-319-07262-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPart I Introduction and Preliminaries -- Overview -- Background and Preliminaries -- Part II Explicit Tuning of the PID Controller -- Type I Control Loops -- Type II Control Loops -- Type III Control Loops -- Sampled-Data Systems -- Part III Automatic Tuning of the PID Controller -- Automatic Tuning of PID Regulators for Type I Control Loops -- Changes on the Current State of the Art. 330 $aAn instructive reference that will help control researchers and engineers, interested in a variety of industrial processes, to take advantage of a powerful tuning method for the ever-popular PID control paradigm. This monograph presents explicit PID tuning rules for linear control loops regardless of process complexity. It shows the reader how such loops achieve zero steady-position, velocity, and acceleration errors and are thus able to track fast reference signals. The theoretical development takes place in the frequency domain by introducing a general-transfer-function-known process model and by exploiting the principle of the magnitude optimum criterion. It is paralleled by the presentation of real industrial control loops used in electric motor drives. The application of the proposed tuning rules to a large class of processes shows that irrespective of the complexity of the controlled process the shape of the step and frequency response of the control loop exhibits a specific performance. This specific performance, along with the PID explicit solution, formulates the basis for developing an automatic tuning method for the PID controller parameters which is a problem often met in many industry applications?temperature, pH, and humidity control, ratio control in product blending, and boiler-drum level control, for example. The process of the model is considered unknown and controller parameters are tuned automatically such that the aforementioned performance is achieved. The potential both for the explicit tuning rules and the automatic tuning method is demonstrated using several examples for benchmark process models recurring frequently in many industry applications. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. 606 $aAutomatic control 606 $aChemical engineering 606 $aPower electronics 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aIndustrial Chemistry/Chemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C27000 606 $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070 615 0$aAutomatic control. 615 0$aChemical engineering. 615 0$aPower electronics. 615 14$aControl and Systems Theory. 615 24$aIndustrial Chemistry/Chemical Engineering. 615 24$aPower Electronics, Electrical Machines and Networks. 676 $a620 676 $a621.317 676 $a629.8 676 $a660 700 $aG. Papadopoulos$b Konstantinos$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062400 906 $aBOOK 912 $a9910299838403321 996 $aPID Controller Tuning Using the Magnitude Optimum Criterion$92525404 997 $aUNINA