LEADER 05228nam 22006735 450 001 9910789217603321 005 20200704171921.0 010 $a3-642-86420-1 024 7 $a10.1007/978-3-642-86420-9 035 $a(CKB)3400000000109610 035 $a(SSID)ssj0001007771 035 $a(PQKBManifestationID)11561989 035 $a(PQKBTitleCode)TC0001007771 035 $a(PQKBWorkID)10954041 035 $a(PQKB)11724130 035 $a(DE-He213)978-3-642-86420-9 035 $a(MiAaPQ)EBC3098455 035 $a(PPN)237911175 035 $a(EXLCZ)993400000000109610 100 $a20121227d1991 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDigital Control Systems$b[electronic resource] $eVolume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications /$fby Rolf Isermann 205 $a2nd ed. 1991. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1991. 215 $a1 online resource (XXI, 325 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-50997-6 311 $a3-642-86422-8 320 $aIncludes bibliographical references and index. 327 $aC Control Systems for Stochastic Disturbances -- 12 Stochastic Control Systems (Introduction) -- 13 Parameter-optimized Controllers for Stochastic Disturbances -- 14 Minimum Variance Controllers for Stochastic Disturbances -- 15 State Controllers for Stochastic Disturbances -- D Interconnected Control Systems -- 16 Cascade Control Systems -- 17 Feedforward Control -- E Multivariable Control Systems -- 18 Structures of Multivariable Processes -- 19 Parameter-optimized Multivariable Control Systems -- 20 Multivariable Matrix Polynomial Control Systems -- 21 Multivariable State Control Systems -- 22 State Estimation -- F Adaptive Control Systems -- 23 Adaptive Control Systems (A Short Review) -- 24 On-line Identification of Dynamical Processes and Stochastic Signals -- 25 On-line Identification in Closed Loop -- 26 Parameter-adaptive Controllers -- G Digital Control with Process Computers and Microcomputers -- 27 The Influence of Amplitude Quantization for Digital Control -- 28 Filtering of Disturbances -- 29 Combining Control Algorithms and Actuators -- 30 Computer-aided Control Algorithm Design -- 31 Adaptive and Selftuning Control Systems Using Microcomputers and Process Computers -- References. 330 $aThe great advances made in large-scale integration of semiconductors and the resulting cost-effective digital processors and data storage devices determine the present development of automation. The application of digital techniques to process automation started in about 1960, when the first process computer was installed. From about 1970 process computers with cathodic ray tube display have become standard equipment for larger automation systems. Until about 1980 the annual increase of process computers was about 20 to 30%. The cost of hardware has already then shown a tendency to decrease, whereas the relative cost of user software has tended to increase. Because of the high total cost the first phase of digital process automation is characterized by the centralization of many functions in a single (though sometimes in several) process computer. Application was mainly restricted to medium and large processes. Because of the far-reaching consequences of a breakdown in the central computer parallel standby computers or parallel back-up systems had to be provided. This meant a substantial increase in cost. The tendency to overload the capacity and software problems caused further difficulties. In 1971 the first microprocessors were marketed which, together with large-scale integrated semiconductor memory units and input/output modules, can be assem­ bled into cost-effective microcomputers. These microcomputers differ from process computers in fewer but higher integrated modules and in the adaptability of their hardware and software to specialized, less comprehensive tasks. 606 $aControl engineering 606 $aRobotics 606 $aMechatronics 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aComputer hardware 606 $aControl, Robotics, Mechatronics$3https://scigraph.springernature.com/ontologies/product-market-codes/T19000 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aComputer Hardware$3https://scigraph.springernature.com/ontologies/product-market-codes/I1200X 615 0$aControl engineering. 615 0$aRobotics. 615 0$aMechatronics. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aComputer hardware. 615 14$aControl, Robotics, Mechatronics. 615 24$aMathematical and Computational Engineering. 615 24$aComputer Hardware. 676 $a629.8 700 $aIsermann$b Rolf$4aut$4http://id.loc.gov/vocabulary/relators/aut$025133 906 $aBOOK 912 $a9910789217603321 996 $aDigitale Regelsysteme$91574109 997 $aUNINA