Receding Horizon Control

Model Predictive Control for State Models

  • Wook Hyun Kwon
  • Soohee Han

Table of contents

About this book


Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHC) has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric changes than infinite horizon control; better tracking than PID and good constraint handling among others.

The text builds understanding starting with optimal controls for simple linear systems and working through constrained systems to nonlinear cases. RHC is applied to discrete-time systems for better understanding and easier computer application. Its diverse techniques are unified using the state-space framework. Worked examples and exercises throughout the book allow you to practise as you go. MATLAB® files for the solution of selected examples can be downloaded from

Graduate students following masters and doctoral courses in control theory and engineering will find Receding Horizon Control to be an excellent companion to tuition and research. Tutors and academics researching model predictive control can use this not only as a scholarly textbook but as a co-ordinated reference for its wide range of receding horizon schemes.


Constraint Control Control Engineering FIR Filter Model Predictive Control Receding Horizon Control Receding Horizon Control Textbook Tracking

Authors and affiliations

  • Wook Hyun Kwon
    • 1
  • Soohee Han
    • 1
  1. 1.School of Electrical Engineering and Computer ScienceSeoul National UniversitySeoulKorea

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2005
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84628-024-5
  • Online ISBN 978-1-84628-017-7
  • Series Print ISSN 1439-2232
  • Buy this book on publisher's site