Advances in Process Control with Real Applications
“Advances in Process Control with Real Applications” by Ch. Venkateswarlu, published by Elsevier Science on February 28, 2025, spans 350 pages and is presented in English. This book explores various advanced controllers, detailing the formulation, design, and implementation of sophisticated control strategies applicable to a wide range of processes. It covers topics such as generalized predictive control, model predictive control, dynamic matrix control, and intelligent control methods, providing a comprehensive overview of modern techniques in process control.
Readers will find valuable insights into advanced control strategies, including nonlinear control methods and optimization techniques. The content is tailored for students, researchers, and industry professionals engaged in process design, monitoring, and systems engineering. This edition serves as a resource for those looking to deepen their understanding of contemporary approaches in engineering and chemical processes, making it a relevant addition to the field.
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Advances 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.
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