000			02804nam a2200349 a 4500
005			20250930133133.0
008			120322s2012 flua b 001 0 eng
010			_a2011-039588
020			_a9781420075588 (hbk.) _cRM274.90
039		9	_a201210100848 _bzabidah _c201209191308 _didah _y03-22-2012 _zidah
040			_aDLC _dUKM
090			_aTS156.8.B343 3
090			_aTS156.8 _b.B343 3
100	1		_aBadiru, Adedeji Bodunde, _d1952- _934997
245	1	0	_aIndustrial control systems : _bmathematical and statistical models and techniques / _cAdedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni.
260			_aBoca Raton, FL. : _bCRC Press, _c2012.
300			_axxi, 360 p. : _bill. ; _c24 cm.
490	0		_aIndustrial innovation.
504			_aIncludes bibliographical references and index.
520			_a'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.'-- _cProvided by publisher.
650		0	_aProcess control _xStatistical methods.
650		0	_aProcess control _xMathematical models.
700	1		_aIbidapo-Obe, Oye.
700	1		_aAyeni, Babatunde J.
907			_a.b15287543 _b2021-05-28 _c2019-11-12
942			_c01 _n0 _kTS156.8.B343 3
914			_avtls003492566
990			_aza
991			_aFakulti Kejuruteraan dan Alam Bina
998			_al _b2012-09-03 _cm _da _feng _gflu _y0 _z.b15287543
999			_c512641 _d512641