Process control design for industrial applications

Author

• Popescu, Dumitru

Additional Author(s)

• Gharbi, Amira,
• Stefanoiu, Dan,
• Borne, Pierre,

Publisher

Hoboken, New Jersey: John Wiley and Sons, Inc., 2017

Language

English

ISBN

9781119407461

Series

Subject(s)

• PROCESS CONTROL
• TECHNOLOGY--&--ENGINEERING--ENGINEERING--(GENERAL)

Notes

• Includes bibliographical references and index

. .

Abstract

This book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors
There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.

Physical Dimension

Number of Page(s)

1 online resource (xiii, 280 p.)

Dimension

-

Other Desc.

-

Summary / Review / Table of Content

Front Matter (Pages: i-xiii)
CHAPTER 1 Introduction – Models and Dynamic Systems (Pages: 1-20)
CHAPTER 2 Linear Identification of Closed‐Loop Systems (Pages: 21-92)
CHAPTER 3 Digital Control Design Using Pole Placement (Pages: 93-111)
CHAPTER 4 Adaptive Control and Robust Control (Pages: 113-129)
CHAPTER 5 Multimodel Control (Pages: 131-146)
CHAPTER 6 Ill‐Defined and/or Uncertain Systems (Pages: 147-171)
CHAPTER 7 Modeling and Control of an Elementary Industrial Process (Pages: 173-201)
CHAPTER 8 Industrial Applications – Case Studies (Pages: 203-241)
Matrix Transformation from Any Representation to the Companion Form or Arrow Form (Pages: 243-247)
Determination of the Maximum Error for Pole Placement for a Nonlinear Third‐Order Process (Pages: 249-256)
Determining the Attractor in a Nonlinear Process Controlled by Linear Decoupling (Pages: 257-260)
Overvaluation of the Maximum Error in a Tracking Problem for a Lur'e Postnikov Type Process (Pages: 261-269)
Bibliography (Pages: 271-278)
Index (Pages: 279-280)
Other titles from iSTE in Systems and Industrial Engineering – Robotics (Pages: G1-G8)

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	01137/19	629.895 Pop P	Online !	Available