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Industrial Control Systems Mathematical And Statistical Models And Techniques Adedeji Bodunde Badiru Oye Ibidapoobe Babatunde J Ayeni

Name: Industrial Control Systems Mathematical And Statistical Models And Techniques Adedeji Bodunde Badiru Oye Ibidapoobe Babatunde J Ayeni
SKU: BELL-4732012
Price: 31.00 USD
Availability: InStock
Rating: 4.8 (14 reviews)

SKU: BELL-4732012

Industrial Control Systems Mathematical And Statistical Models And Techniques Adedeji Bodunde Badiru Oye Ibidapoobe Babatunde J Ayeni

$ 31.00 ~~$ 45.00~~ (-31%)

4.8

14 reviews

Industrial Control Systems Mathematical And Statistical Models And Techniques Adedeji Bodunde Badiru Oye Ibidapoobe Babatunde J Ayeni instant download after payment.

Publisher: CRC Press

File Extension: PDF

File size: 13.69 MB

Pages: 374

Author: Adedeji Bodunde Badiru; Oye Ibidapo-Obe; Babatunde J Ayeni

ISBN: 9781420075588, 9781420075595, 1420075586, 1420075594

Language: English

Year: 2011

Product desciption

Industrial Control Systems Mathematical And Statistical Models And Techniques Adedeji Bodunde Badiru Oye Ibidapoobe Babatunde J Ayeni by Adedeji Bodunde Badiru; Oye Ibidapo-obe; Babatunde J Ayeni 9781420075588, 9781420075595, 1420075586, 1420075594 instant download after payment.

''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. ''--