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.
"synopsis" may belong to another edition of this title.
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.
Mark Cannon is departmental lecturer at the Engineering Department at Oxford University and has been working on MPC for the past 5 years, including the development of computationally efficient NMPC.
"About this title" may belong to another edition of this title.
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condition: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.1. Seller Inventory # G0852969848I4N01
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9780852969847
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In English. Seller Inventory # ria9780852969847_new
Quantity: Over 20 available
Seller: Lexington Books Inc, Idaho Falls, ID, U.S.A.
Hardcover. Condition: Very Good. Contents are tight and clean. Seller Inventory # 142860
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 1200696-n
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9780852969847
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 1200696-n
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 1200696
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 1200696
Quantity: Over 20 available
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. 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. Seller Inventory # LU-9780852969847