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Digital Control Systems [electronic resource] /
The great advances made in large-scale integration of semiconductors, the resulting cost-effective digital processors and data storage devi ces, and the development of suitable programming techniques are all having increasing influence on the techniques of measurement and con trol and on automation in general. The application of digital techni ques to process automation started in about 1960 when the first process computer was installed. From about 1970 computers have become standard equipment for the automation of industrial processes, connected on-line in open or closed loop. The annual increase of installed process compu ters in the last decade was about 20- 30 %. The cost of hardware has shown a tendency to decrease, whereas the relative cost of user soft ware has tended to increase. Because of the relatively high total cost, the first phase of digital computer application to process control is characterized by the centralization of many functions in a single (though sometimes in several) process computer. Such centralization does not permit full utilization of the many advantages of digital signal processing and rapid economic pay-off as analog back-up systems or parallel standby computers must often be provided to cover possible breakdowns in the central computer. In 1971 the first microprocessors were marketed which, together with large-scale integrated semiconductor memory units and input/output mo dules, can be assembled into more cost-effective process microcompu ters.
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| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
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Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
1981
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| Subjects: | Engineering., Artificial intelligence., Control engineering., Robotics., Mechatronics., Control, Robotics, Mechatronics., Artificial Intelligence (incl. Robotics)., |
| Online Access: | http://dx.doi.org/10.1007/978-3-662-02319-8 |
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COLPOS |
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Engineering. Artificial intelligence. Control engineering. Robotics. Mechatronics. Engineering. Control, Robotics, Mechatronics. Artificial Intelligence (incl. Robotics). Engineering. Artificial intelligence. Control engineering. Robotics. Mechatronics. Engineering. Control, Robotics, Mechatronics. Artificial Intelligence (incl. Robotics). |
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Engineering. Artificial intelligence. Control engineering. Robotics. Mechatronics. Engineering. Control, Robotics, Mechatronics. Artificial Intelligence (incl. Robotics). Engineering. Artificial intelligence. Control engineering. Robotics. Mechatronics. Engineering. Control, Robotics, Mechatronics. Artificial Intelligence (incl. Robotics). Isermann, Rolf. author. SpringerLink (Online service) Digital Control Systems [electronic resource] / |
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The great advances made in large-scale integration of semiconductors, the resulting cost-effective digital processors and data storage devi ces, and the development of suitable programming techniques are all having increasing influence on the techniques of measurement and con trol and on automation in general. The application of digital techni ques to process automation started in about 1960 when the first process computer was installed. From about 1970 computers have become standard equipment for the automation of industrial processes, connected on-line in open or closed loop. The annual increase of installed process compu ters in the last decade was about 20- 30 %. The cost of hardware has shown a tendency to decrease, whereas the relative cost of user soft ware has tended to increase. Because of the relatively high total cost, the first phase of digital computer application to process control is characterized by the centralization of many functions in a single (though sometimes in several) process computer. Such centralization does not permit full utilization of the many advantages of digital signal processing and rapid economic pay-off as analog back-up systems or parallel standby computers must often be provided to cover possible breakdowns in the central computer. In 1971 the first microprocessors were marketed which, together with large-scale integrated semiconductor memory units and input/output mo dules, can be assembled into more cost-effective process microcompu ters. |
| format |
Texto |
| topic_facet |
Engineering. Artificial intelligence. Control engineering. Robotics. Mechatronics. Engineering. Control, Robotics, Mechatronics. Artificial Intelligence (incl. Robotics). |
| author |
Isermann, Rolf. author. SpringerLink (Online service) |
| author_facet |
Isermann, Rolf. author. SpringerLink (Online service) |
| author_sort |
Isermann, Rolf. author. |
| title |
Digital Control Systems [electronic resource] / |
| title_short |
Digital Control Systems [electronic resource] / |
| title_full |
Digital Control Systems [electronic resource] / |
| title_fullStr |
Digital Control Systems [electronic resource] / |
| title_full_unstemmed |
Digital Control Systems [electronic resource] / |
| title_sort |
digital control systems [electronic resource] / |
| publisher |
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, |
| publishDate |
1981 |
| url |
http://dx.doi.org/10.1007/978-3-662-02319-8 |
| work_keys_str_mv |
AT isermannrolfauthor digitalcontrolsystemselectronicresource AT springerlinkonlineservice digitalcontrolsystemselectronicresource |
| _version_ |
1756271658013818880 |
| spelling |
KOHA-OAI-TEST:2313782018-07-31T00:14:34ZDigital Control Systems [electronic resource] / Isermann, Rolf. author. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,1981.engThe great advances made in large-scale integration of semiconductors, the resulting cost-effective digital processors and data storage devi ces, and the development of suitable programming techniques are all having increasing influence on the techniques of measurement and con trol and on automation in general. The application of digital techni ques to process automation started in about 1960 when the first process computer was installed. From about 1970 computers have become standard equipment for the automation of industrial processes, connected on-line in open or closed loop. The annual increase of installed process compu ters in the last decade was about 20- 30 %. The cost of hardware has shown a tendency to decrease, whereas the relative cost of user soft ware has tended to increase. Because of the relatively high total cost, the first phase of digital computer application to process control is characterized by the centralization of many functions in a single (though sometimes in several) process computer. Such centralization does not permit full utilization of the many advantages of digital signal processing and rapid economic pay-off as analog back-up systems or parallel standby computers must often be provided to cover possible breakdowns in the central computer. In 1971 the first microprocessors were marketed which, together with large-scale integrated semiconductor memory units and input/output mo dules, can be assembled into more cost-effective process microcompu ters.1 Introduction -- 2. Control with Digital computers (Process Computers, Microprocessors) -- 3. Discrete-time Systems -- 4. Deterministic Control Systems -- 5. Parameter-optimized Controllers -- 6. Cancellation Controllers -- 7. Controllers for Finite Settling Time (Deadbeat) -- 8. State Controllers -- 9. Controllers for Processes with Large Deadtime -- 10. Control of Variable Processes with Constant Controllers -- 11. Comparison of Different Controllers for Deterministic Disturbances -- 12. Stochastic Control Systems -- 13. Parameter-optimized Controllers for Stochastic Disturbances -- 14. Minimum Variance Controllers for Stochastic Disturbances -- 15. State Controllers for Stochastic Disturbances -- 16. Cascade Control Systems -- 17. Feedforward Control -- 18. Structures of Multivariable Processes -- 19. Parameter-optimized Multivariable Control Systems -- 20. Multivariable Matrix Polynomial Control Systems -- 21. Multivariable State Control Systems -- 22. Adaptive Control Systems — A Short Review -- 23. On-line Identification of Dynamical Processes and Stochastic Signals -- 24. Identification in Closed Loop -- 25. Parameter-adaptive Controllers -- 26. The Influence of Amplitude Quantization on Digital Control -- 27. Filtering of Disturbances -- 28. Combining Control Algorithms and Actuators -- 29. Computer Aided Control Algorithm Design -- 30. Case Studies of Identification and Digital Control -- Literature -- List of Abbreviations and Symbols.The great advances made in large-scale integration of semiconductors, the resulting cost-effective digital processors and data storage devi ces, and the development of suitable programming techniques are all having increasing influence on the techniques of measurement and con trol and on automation in general. The application of digital techni ques to process automation started in about 1960 when the first process computer was installed. From about 1970 computers have become standard equipment for the automation of industrial processes, connected on-line in open or closed loop. The annual increase of installed process compu ters in the last decade was about 20- 30 %. The cost of hardware has shown a tendency to decrease, whereas the relative cost of user soft ware has tended to increase. Because of the relatively high total cost, the first phase of digital computer application to process control is characterized by the centralization of many functions in a single (though sometimes in several) process computer. Such centralization does not permit full utilization of the many advantages of digital signal processing and rapid economic pay-off as analog back-up systems or parallel standby computers must often be provided to cover possible breakdowns in the central computer. In 1971 the first microprocessors were marketed which, together with large-scale integrated semiconductor memory units and input/output mo dules, can be assembled into more cost-effective process microcompu ters.Engineering.Artificial intelligence.Control engineering.Robotics.Mechatronics.Engineering.Control, Robotics, Mechatronics.Artificial Intelligence (incl. Robotics).Springer eBookshttp://dx.doi.org/10.1007/978-3-662-02319-8URN:ISBN:9783662023198 |