545,48 €
606,09 €
-10% with code: EXTRA
From Plant Data to Process Control
From Plant Data to Process Control
545,48
606,09 €
  • We will send in 10–14 business days.
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 v…
606.09
  • Publisher:
  • ISBN-10: 0748407014
  • ISBN-13: 9780748407019
  • Format: 18.2 x 25.4 x 2.2 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

From Plant Data to Process Control (e-book) (used book) | bookbook.eu

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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).

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  • Author: Liuping Wang
  • Publisher:
  • ISBN-10: 0748407014
  • ISBN-13: 9780748407019
  • Format: 18.2 x 25.4 x 2.2 cm, kieti viršeliai
  • Language: English English

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).

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