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Non-linear Predictive Control
Non-linear Predictive Control

Non-linear Predictive Control

Theory and practice
Basil Kouvaritakis, Mark Cannon
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276 pages
language
English
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PDF
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Non-linear Predictive Control

Theory and practice
Basil Kouvaritakis, Mark Cannon
Book details
Table of contents

About This Book

Model-based predictive control (MPC) has proved to be a fertile area of research. It has gained enormous success within industry, especially in the context of process control. Nonlinear model-based predictive control (NMPC) is of particular interest as this best represents the dynamics of most real plant. This book collects together the important results which have emerged in this field, illustrating examples by means of simulations on industrial models. In particular there are contributions on feedback linearisation, differential flatness, control Lyapunov functions, output feedback, and neural networks. The international contributors to the book are all respected leaders within the field, which makes for essential reading for advanced students, researchers and industrialists in the field of control of complex systems.

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Information

Publisher
The Institution of Engineering and Technology
Year
2011
ISBN
9781849190558
Topic
Technology & Engineering
Subtopic
Electrical Engineering & Telecommunications

Table of contents