03254cam a22003618i 450000100090000000300070000900500170001600800410003301000170007402000310009103500130012204000230013504200080015805000230016608200180018910000320020724500840023926400190032330000150034233600260035733700280038333800270041149000240043850011990046250400510166152007290171260000640244161000930250565000300259865000500262865000550267877601590273321496083SA-PMU20260308135657.0200410s2020    flu      b    001 0 eng    a  2020017189  a9780443238574q(paperback)  a21496083  aDLCbengerdacDLC  apcc00aTP155.75 .V46 202500a660/.2815223  q Ch. Venkateswarlu (Author)10aAdvances in Process Control with Real Applications/cCh. Venkateswarlu (Author) 1bElsevierc2025  a348 Pages.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier0 aChemical industries  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  aIncludes bibliographical references and index.  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.  2Advances in ProcesstProcess Control with Real Applications  2Advances in Processtadvanced controllers for the control of complex nonlinear processes 0aChemical process control. 7aSCIENCE / Chemistry / Industrial & Technical. 7aTECHNOLOGY & ENGINEERING / Manufacturing.2bisacsh08iOnline version:aRomagnoli, Jose A.,tIntroduction to process controlbThird edition.dBoca Raton, FL : CRC Press, [2020]z9780429351396w(DLC) 2020017190