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From Plant Data to Process Control - Liuping Wang

From Plant Data to Process Control

Ideas for Process Identification and PID Design

(Autor)

Buch | Softcover
240 Seiten
2019
CRC Press (Verlag)
978-0-367-39821-7 (ISBN)
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This book covers the modern techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems.
Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. From Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems. It examines both the theoretical advances in process design and control theory, and a wide variety of implementations. A wide variety of approaches are presented for building models of dynamical systems based on observed data (process identification) and for making the output of a system behave in a desired fashion by properly selecting the process input (process control).

Wang, Liuping

1. Introduction 2. Modelling from Noisy Step Response Data Using Laguerre Fuctions 3. Least Squares and the PRESS Statistic using Orthogonal Decomposition 4. Frequency Sampling Filters in Process Identification 5. From FSF Models to Step Response Models 6. New Frequency Domain PID Controller Design Method 7. Tuning Rules for PID Controllers 8. Recursive Estimation from Relay Feedback Experiments; Bibliography; Index

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 174 x 246 mm
Gewicht 444 g
Themenwelt Mathematik / Informatik Informatik Betriebssysteme / Server
Mathematik / Informatik Informatik Software Entwicklung
Mathematik / Informatik Informatik Theorie / Studium
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Technik Umwelttechnik / Biotechnologie
ISBN-10 0-367-39821-4 / 0367398214
ISBN-13 978-0-367-39821-7 / 9780367398217
Zustand Neuware
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