Applied Predictive Control / Edition 1

by Sunan Huang, Tong Heng Lee

Overview

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The Advances in Industrial Control series promotes control techniques, which are used by industry. The series has useful volumes in various aspects of proportional-integral-derivative (PID) control because of the widespread use of PID in applications. Predictive control is another technique that quickly became essential in some sectors of the petro-chemical, and process control industries. It was the ability of the method to incorporate operational constraints that lead to this take-up by industry. The wider industrial applications of predictive control has been slower to develop; indeed some practitioners might argue that this technology transfer step is still active or had only just begun in some industrial sectors.

Product Details

ISBN-13:	9781849968645
Publisher:	Springer London
Publication date:	12/09/2010
Series:	Advances in Industrial Control , #45
Edition description:	Softcover reprint of hardcover 1st ed. 2002
Pages:	264
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1. Introduction.- 2. Dead Time Compensators.- 3. Generalised Predictive Controller.- 4. Observer-augmented Generalised Predictive Controller.- 5. Optimal PID Control Based on a Predictive Control Approach.- 6. Predictive Iterative Learning Control.- 7. Adaptive Predictive Control of a Class of SISO Non-linear Systems.- 8. Case Studies.- References.