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Download Digital Control Systems: Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications (Vol 2) eBook

by Rolf Isermann

Download Digital Control Systems: Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications (Vol 2) eBook
ISBN:
3540509976
Author:
Rolf Isermann
Category:
Hardware & DIY
Language:
English
Publisher:
Springer; 2nd rev. ed. edition (October 11, 1991)
Pages:
325 pages
EPUB book:
1923 kb
FB2 book:
1353 kb
DJVU:
1896 kb
Other formats
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Rating:
4.1
Votes:
706


Isermann, Professor D. Ing. Multivariable Matrix Polynomial Control Systems. Bibliographic Information. Digital Control Systems.

Isermann, Professor D. Structures of Multivariable Processes. Isermann, Professor D. Multivariable State Control Systems. Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications.

Rolf Isermann is one of the leading academic figures associated with the novel and increasingly important field of mechatronics the most popular definition of which is: Mechatronics is the synergistic integration of mechanical engineering with electronics and intelligent computer control in the design and manufacture of products and processes. He was chair of the 1st IFAC conference on Mechatronics. He has worked extensively with industry in recent years especially in the automotive sector.

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Digital Control Systems: Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications.

Digital Control Systems: Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications. Adaptive Control Systems (Prentice Hall International Series in Systems & Control Engineering).

Digital Control Systems : Volume 2: Stochastic Control, Multivariable Control, Adaptive Control, Applications. The 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.

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The 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.