Receding Horizon Control: Model Predictive Control for State Models

✍ Scribed by Wook Hyun Kwon PhD, Soohee Han PhD (auth.)

Publisher: Springer-Verlag London
Year: 2005
Tongue: English
Leaves: 387
Series: Advanced Textbooks in Control and Signal Processing
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 and MATLAB^® files for the solution of selected examples can be downloaded from springeronline.com.

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.

✦ Table of Contents

Introduction....Pages 1-15
Optimal Controls on Finite and Infinite Horizons: A Review....Pages 17-82
State Feedback Receding Horizon Controls....Pages 83-157
Receding Horizon Filters....Pages 159-216
Output Feedback Receding Horizon Controls....Pages 217-260
Constrained Receding Horizon Controls....Pages 261-295
Nonlinear Receding Horizon Controls....Pages 297-322

✦ Subjects

Control Engineering; Electronic and Computer Engineering; Systems Theory, Control; Industrial Chemistry/Chemical Engineering; Mechanical Engineering; Industrial and Production Engineering

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