Non-linear Predictive Control - Theory and practice (Hardcover, illustrated edition)

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.

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Control, Robotics and Sensors
Release date:	October 2001
First published:	2001
Editors:	Basil Kouvaritakis (Professor of Engineering Science) • Mark Cannon (Lecturer)
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	276
Edition:	illustrated edition
ISBN-13:	978-0-85296-984-7
Categories:	Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	0-85296-984-8
Barcode:	9780852969847

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