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.
Mark (Lecturer, Oxford University, UK) Cannon & Basil (Professor of Engineering Science, Oxford University, UK) Kouvaritakis
Non-linear Predictive Control [PDF ebook]
Theory and practice
Non-linear Predictive Control [PDF ebook]
Theory and practice
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Format PDF ● Pages 276 ● ISBN 9781849190558 ● Editor Mark (Lecturer, Oxford University, UK) Cannon & Basil (Professor of Engineering Science, Oxford University, UK) Kouvaritakis ● Publisher The Institution of Engineering and Technology ● Published 2009 ● Downloadable 6 times ● Currency EUR ● ID 2641078 ● Copy protection Adobe DRM
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