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049    INap 
082 04 658.5072/7 
082 04 658.5072/7|223 
099    eBook O’Reilly for Public Libraries 
100 1  Badiru, Adedeji Bodunde,|d1952- 
245 10 Industrial control systems :|bmathematical and statistical
       models and techniques /|cAdedeji B. Badiru, Oye Ibidapo-
       Obe, Babatunde J. Ayeni.|h[O'Reilly electronic resource] 
260    Boca Raton :|bCRC Press,|c©2012. 
300    1 online resource (xxi, 350 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    data file|2rda 
490 1  Industrial innovation series 
504    Includes bibliographical references. 
505 0  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. 
520    "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. 
546    English. 
588 0  Print version record. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Process control|xMathematical models. 
650  0 Process control|xStatistical methods. 
650  6 Fabrication|xContrôle|xModèles mathématiques. 
650  7 Process control|xMathematical models|2fast 
650  7 Process control|xStatistical methods|2fast 
700 1  Ayeni, Babatunde J. 
700 1  Ibidapo-Obe, Oye. 
776 08 |iPrint version:|aBadiru, Adedeji Bodunde, 1952-
       |tIndustrial control systems.|dBoca Raton, FL : CRC Press,
       ©2012|z9781420075588|w(DLC)  2011039588|w(OCoLC)751832092 
830  0 Industrial innovation series. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
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       |zAvailable on O'Reilly for Public Libraries 
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