Model Predictive Control in the Non-Minimal State Space: A study of different control structures - Softcover
Synopsis
Constraint handling is an everyday problem for the control engineer. This book is concerned with constraint handling for systems that are described by a Non-Minimal State Space (NMSS). Such NMSS models are formulated directly from the measured input and output signals of the controlled process and the state vector is directly available without the need to design and implement a state observer. The technique that is studied is Model Predictive Control which a very common when dealing with constraints. New NMSS/MPC control structures are presented in this book for both linear and non-linear systems. For the description of non-linear systems, State Dependent Parameter models are used that are a direct extension of linear NMSS state space models for non-linear systems. The analysis presented should help us understand the structural differences among different controllers for constraint handling and give directions for choosing the most appropriate one. This book should be especially useful to researchers in the area control, constraint handling systems and Model Predictive Control. It is also written in a way to support practicing control engineers with constraint handling techniques.
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About the Author
Received the MEng degree in Electrical and Computer Engineering by the Aristotle University of Thessaloniki (Greece) in 2004 and the PhD degree in Control Systems Engineering by Lancaster University (UK) in 2008. Since 2007 he is a post-doctoral researcher at the Katholieke Universiteit Leuven in the field of modelling of bio-responses.
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Model Predictive Control in the Non-Minimal State Space
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Constraint handling is an everyday problem for the control engineer. This book is concerned with constraint handling for systems that are described by a Non-Minimal State Space (NMSS). Such NMSS models are formulated directly from the measured input and output signals of the controlled process and the state vector is directly available without the need to design and implement a state observer. The technique that is studied is Model Predictive Control which a very common when dealing with constraints. New NMSS/MPC control structures are presented in this book for both linear and non-linear systems. For the description of non-linear systems, State Dependent Parameter models are used that are a direct extension of linear NMSS state space models for non-linear systems. The analysis presented should help us understand the structural differences among different controllers for constraint handling and give directions for choosing the most appropriate one. This book should be especially useful to researchers in the area control, constraint handling systems and Model Predictive Control. It is also written in a way to support practicing control engineers with constraint handling techniques. 204 pp. Englisch. Seller Inventory # 9783844386257
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Model Predictive Control in the Non-Minimal State Space
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Exadaktylos VasileiosReceived the MEng degree in Electrical and Computer Engineering by the Aristotle University of Thessaloniki (Greece) in 2004 and the PhD degree in Control Systems Engineering by Lancaster University (UK) in 2008. Seller Inventory # 5476143
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Model Predictive Control in the Non-Minimal State Space | A study of different control structures
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Taschenbuch. Condition: Neu. Model Predictive Control in the Non-Minimal State Space | A study of different control structures | Vasileios Exadaktylos | Taschenbuch | 204 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844386257 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106908651
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Model Predictive Control in the Non-Minimal State Space
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LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3844386254
ISBN 13: 9783844386257
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Constraint handling is an everyday problem for the control engineer. This book is concerned with constraint handling for systems that are described by a Non-Minimal State Space (NMSS). Such NMSS models are formulated directly from the measured input and output signals of the controlled process and the state vector is directly available without the need to design and implement a state observer. The technique that is studied is Model Predictive Control which a very common when dealing with constraints. New NMSS/MPC control structures are presented in this book for both linear and non-linear systems. For the description of non-linear systems, State Dependent Parameter models are used that are a direct extension of linear NMSS state space models for non-linear systems. The analysis presented should help us understand the structural differences among different controllers for constraint handling and give directions for choosing the most appropriate one. This book should be especially useful to researchers in the area control, constraint handling systems and Model Predictive Control. It is also written in a way to support practicing control engineers with constraint handling techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch. Seller Inventory # 9783844386257
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Model Predictive Control in the Non-Minimal State Space : A study of different control structures
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844386254
ISBN 13: 9783844386257
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Constraint handling is an everyday problem for the control engineer. This book is concerned with constraint handling for systems that are described by a Non-Minimal State Space (NMSS). Such NMSS models are formulated directly from the measured input and output signals of the controlled process and the state vector is directly available without the need to design and implement a state observer. The technique that is studied is Model Predictive Control which a very common when dealing with constraints. New NMSS/MPC control structures are presented in this book for both linear and non-linear systems. For the description of non-linear systems, State Dependent Parameter models are used that are a direct extension of linear NMSS state space models for non-linear systems. The analysis presented should help us understand the structural differences among different controllers for constraint handling and give directions for choosing the most appropriate one. This book should be especially useful to researchers in the area control, constraint handling systems and Model Predictive Control. It is also written in a way to support practicing control engineers with constraint handling techniques. Seller Inventory # 9783844386257
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Model Predictive Control in the Non-Minimal State Space: A study of different control structures
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