Industrial control systems [electronic resource] : mathematical and statistical models and techniques / Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni.

By:

Badiru, Adedeji Bodunde, 1952-

Contributor(s):

Material type: Text

TextSeries: Industrial innovation seriesPublication details: Boca Raton : CRC Press, 2012.Description: xxi, 360 p. : illISBN:

9781420075595 (ebook : PDF)

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Genre/Form:

Electronic books.

Additional physical formats: No titleOnline resources:

Distributed by publisher. Purchase or institutional license may be required for access.

Available additional physical forms:

Also available in print edition.

Contents:

ch. 1. Mathematical modeling for product design -- ch. 2. Dynamic fuzzy systems modeling -- ch. 3. Stochastic systems modeling -- ch. 4. Systems optimization techniques -- ch. 5. Statistical control techniques -- ch. 6. Design of experiment techniques -- ch. 7. Risk analysis and estimation techniques -- ch. 8. Mathematical modeling and control of multi-constrained projects -- ch. 9. Online support vector regression with varying parameters for time-dependent data.

Summary: "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.

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Includes bibliographical references and index.

"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.

Also available in print edition.

Mode of access: World Wide Web.

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