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Applied Predictive Control

  • Huang Sunan
  • Tan Kok Kiong
  • Lee Tong Heng

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 1-7
  3. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 9-35
  4. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 37-71
  5. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 73-97
  6. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 99-152
  7. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 153-180
  8. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 181-206
  9. Huang Sunan, Tan Kok Kiong, Lee Tong Heng
    Pages 207-248
  10. Back Matter
    Pages 249-264

About this book

Introduction

The presence of considerable time delays in the dynamics of many industrial processes, leading to difficult problems in the associated closed-loop control systems, is a well-recognized phenomenon. The performance achievable in conventional feedback control systems can be significantly degraded if an industrial process has a relatively large time delay compared with the dominant time constant. Under these circumstances, advanced predictive control is necessary to improve the performance of the control system significantly.

The book is a focused treatment of the subject matter, including the fundamentals and some state-of-the-art developments in the field of predictive control. Three main schemes for advanced predictive control are addressed in this book:

• Smith Predictive Control;

• Generalised Predictive Control;

• a form of predictive control based on Finite Spectrum Assignment.

A substantial part of the book addresses application issues in predictive control, providing several interesting case studies for more application-oriented readers. Thus, while the book is written to serve as an advanced control reference on predictive control for researchers, postgraduates and senior undergraduates, it should be equally useful to those industrial practitioners who are keen to explore the use of advanced predictive control in real problems. The prerequisite for gaining maximum benefit from this book is a basic knowledge of control systems, such as that imparted by a first undergraduate course on control systems engineering.

 

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Control Applications Control Engineering DTC Dead-time Compensation Dynamics Optimal PID Control Predictive Iterative Learning Control Smith Predictor industrial process iterative learning control performance pid control siso system systems e

Authors and affiliations

  • Huang Sunan
    • 1
  • Tan Kok Kiong
    • 1
  • Lee Tong Heng
    • 1
  1. 1.Department of Electrical & Computer EngineeringNational University of SingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3725-2
  • Copyright Information Springer-Verlag London 2002
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-84996-864-5
  • Online ISBN 978-1-4471-3725-2
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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