Items related to Non-linear Predictive Control: Theory and practice...
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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About the Author:
Basil Kouvaritakis is Professor of Engineering Science at Oxford University and has been researching MPC and computationally efficient NMPC for the last 12 years, publishing over 50 papers on the subject.
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- PublisherThe Institution of Engineering and Technology
- Publication date2001
- ISBN 10 0852969848
- ISBN 13 9780852969847
- BindingHardcover
- Edition number1
- Number of pages276
- EditorKouvaritakis Basil, Cannon Mark
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Book Description Condition: New. Inhaltsverzeichnisrnrnn Part In Chapter 1: Review of nonlinear model predictive control applicationsn Chapter 2: Nonlinear model predictive control: issues and applicationsn Part IIn Chapter 3: Model p. Seller Inventory # 898905136
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