Industrial control systems: mathematical and statistical models and techniques
"Preface This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems, in general, with specific orientation toward industrial systems. Industrial control encompasses severa...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton
CRC Press
2012
|
| Schriftenreihe: | Industrial innovation series
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781420075595/?ar |
| Zusammenfassung: | "Preface This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems, in general, with specific orientation toward industrial systems. Industrial control encompasses several types of control systems. Some common elements of industrial control systems include supervisory control and data acquisition systems, distributed control systems, and other generic control system configurations, such as programmable logic controllers, that are often found in industrial operations and engineering infrastructure. Industrial control systems are not limited to production or manufacturing enterprises, as they are typically used in general industries such as electrical, water, oil and gas, and data acquisition devices. Based on information received from remote sensors, automated commands can be sent to remote control devices, which are referred to as field devices. Field devices are used to control local operations. These may include opening and closing valves, tripping breakers, collecting data from sensors, and monitoring local operating conditions. All of these are governed by some form of mathematical representation. Thus, this book has great importance in linking theory and practice. Distributed control systems are used to control industrial processes such as electric power generation, oil and gas refineries, water and wastewater treatment, and chemical, food, and automotive production."--Provided by publisher. |
| Beschreibung: | Includes bibliographical references. - Print version record |
| Umfang: | 1 Online-Ressource (xxi, 350 Seiten) illustrations |
| ISBN: | 9781420075595 1420075594 1420075586 9781420075588 1283349825 9781283349826 9786613349828 6613349828 |
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| indexdate | 2025-01-17T11:20:30Z |
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| language | English |
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| physical | 1 Online-Ressource (xxi, 350 Seiten) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2012 |
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| series2 | Industrial innovation series |
| spelling | Badiru, Adedeji Bodunde 1952- VerfasserIn aut Industrial control systems mathematical and statistical models and techniques Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni Boca Raton CRC Press 2012 1 Online-Ressource (xxi, 350 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Industrial innovation series Includes bibliographical references. - Print version record "Preface This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems, in general, with specific orientation toward industrial systems. Industrial control encompasses several types of control systems. Some common elements of industrial control systems include supervisory control and data acquisition systems, distributed control systems, and other generic control system configurations, such as programmable logic controllers, that are often found in industrial operations and engineering infrastructure. Industrial control systems are not limited to production or manufacturing enterprises, as they are typically used in general industries such as electrical, water, oil and gas, and data acquisition devices. Based on information received from remote sensors, automated commands can be sent to remote control devices, which are referred to as field devices. Field devices are used to control local operations. These may include opening and closing valves, tripping breakers, collecting data from sensors, and monitoring local operating conditions. All of these are governed by some form of mathematical representation. Thus, this book has great importance in linking theory and practice. Distributed control systems are used to control industrial processes such as electric power generation, oil and gas refineries, water and wastewater treatment, and chemical, food, and automotive production."--Provided by publisher. English. Process control Mathematical models Process control Statistical methods Fabrication ; Contrôle ; Modèles mathématiques BUSINESS & ECONOMICS ; Production & Operations Management TECHNOLOGY & ENGINEERING ; Industrial Engineering TECHNOLOGY & ENGINEERING ; Industrial Technology Process control ; Mathematical models Process control ; Statistical methods Ayeni, Babatunde J. MitwirkendeR ctb Ibidapo-Obe, Oye MitwirkendeR ctb 9781420075588 Erscheint auch als Druck-Ausgabe 9781420075588 |
| spellingShingle | Badiru, Adedeji Bodunde 1952- Industrial control systems mathematical and statistical models and techniques Process control Mathematical models Process control Statistical methods Fabrication ; Contrôle ; Modèles mathématiques BUSINESS & ECONOMICS ; Production & Operations Management TECHNOLOGY & ENGINEERING ; Industrial Engineering TECHNOLOGY & ENGINEERING ; Industrial Technology Process control ; Mathematical models Process control ; Statistical methods |
| title | Industrial control systems mathematical and statistical models and techniques |
| title_auth | Industrial control systems mathematical and statistical models and techniques |
| title_exact_search | Industrial control systems mathematical and statistical models and techniques |
| title_full | Industrial control systems mathematical and statistical models and techniques Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni |
| title_fullStr | Industrial control systems mathematical and statistical models and techniques Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni |
| title_full_unstemmed | Industrial control systems mathematical and statistical models and techniques Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni |
| title_short | Industrial control systems |
| title_sort | industrial control systems mathematical and statistical models and techniques |
| title_sub | mathematical and statistical models and techniques |
| topic | Process control Mathematical models Process control Statistical methods Fabrication ; Contrôle ; Modèles mathématiques BUSINESS & ECONOMICS ; Production & Operations Management TECHNOLOGY & ENGINEERING ; Industrial Engineering TECHNOLOGY & ENGINEERING ; Industrial Technology Process control ; Mathematical models Process control ; Statistical methods |
| topic_facet | Process control Mathematical models Process control Statistical methods Fabrication ; Contrôle ; Modèles mathématiques BUSINESS & ECONOMICS ; Production & Operations Management TECHNOLOGY & ENGINEERING ; Industrial Engineering TECHNOLOGY & ENGINEERING ; Industrial Technology Process control ; Mathematical models Process control ; Statistical methods |
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