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Non-linear Predictive Control: Theory and practice
edited by Basil Kouvaritakis and Mark Cannon
The Institution of Engineering and Technology, 2001
Cloth: 978-0-85296-984-7 | eISBN: 978-1-84919-055-8
Library of Congress Classification TJ217.6.N65 2001
Dewey Decimal Classification 629.836

ABOUT THIS BOOK | TOC
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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