000			03449cam a22004098i 4500
001			21496083
003			SA-PMU
005			20260308135657.0
008			200410s2020 flu b 001 0 eng
010			_a 2020017189
020			_a9780443238574 _q(paperback)
035			_a21496083
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aTP155.75 .V46 2025
082	0	0	_a660/.2815 _223
100			_q Ch. Venkateswarlu (Author)
245	1	0	_aAdvances in Process Control with Real Applications/ _cCh. Venkateswarlu (Author)
264		1	_bElsevier _c2025
300			_a348 Pages.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aChemical industries
500			_aAdvances in Process Control with Real Applications presents various advanced controllers, including the formulation, design, and implementation of various advanced control strategies for a wide variety of processes. These strategies include generalized predictive control with and without constraints; linear and nonlinear model predictive control; dynamic matrix control; nonlinear control, such as generic model control, globally linearizing control, and nonlinear internal model control; optimal and optimizing control; inferential control; intelligent control based on fuzzy reasoning and neural networks; and controllers based on stochastic and evolutionary optimization. This book will be highly beneficial to students, researchers, and industry professionals working in process design, process monitoring, process systems engineering, process operations and control, and related areas. Describes various advanced controllers for the control of complex nonlinear processes Provides the fundamentals, algorithms, approaches, control strategies, and implementation procedures systematically Highlights the significance and importance of advanced process control with many real applications
504			_aIncludes bibliographical references and index.
520			_a"The new edition blends conventional topics with a modern perspective of integrated process operation, control, and information systems. Updated throughout, it addresses smart manufacturing, new data preprocessing techniques, and machine learning and artificial intelligence concepts. It guides the reader to resources needed to solve modeling, classification, and monitoring problems. It introduces the link between process optimization and process control and links discussion of modern architectures of industrial computer control systems with real case studies and applications to pilot-scale operations. It features exercises throughout and downloadable MATLAB toolboxes to reinforce learning"-- _cProvided by publisher.
600			_2Advances in Process _tProcess Control with Real Applications
610			_2Advances in Process _tadvanced controllers for the control of complex nonlinear processes
650		0	_aChemical process control.
650		7	_aSCIENCE / Chemistry / Industrial & Technical.
650		7	_aTECHNOLOGY & ENGINEERING / Manufacturing. _2bisacsh
776	0	8	_iOnline version: _aRomagnoli, Jose A., _tIntroduction to process control _bThird edition. _dBoca Raton, FL : CRC Press, [2020] _z9780429351396 _w(DLC) 2020017190
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBOOK
999			_c12916 _d12916