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  • 1
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :InTech,
    UID:
    almafu_9958065881502883
    Format: 1 online resource (x, 418 pages) : , illustrations
    ISBN: 953-51-6015-X
    Content: Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future.
    Note: English
    Additional Edition: ISBN 953-307-298-9
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1778685854
    Format: 1 Online-Ressource (170 p.)
    ISBN: 9789535101192 , 9789535161233
    Content: Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance, but it is can also be seen as a term denoting a natural control strategy that matches the human thought form most closely. Half a century after its birth, it has been widely accepted in many engineering fields and has brought much benefit to us. The purpose of the book is to show the recent advancements of MPC to the readers, both in theory and in engineering. The idea was to offer guidance to researchers and engineers who are interested in the frontiers of MPC. The examples provided in the first part of this exciting collection will help you comprehend some typical boundaries in theoretical research of MPC. In the second part of the book, some excellent applications of MPC in modern engineering field are presented. With the rapid development of modeling and computational technology, we believe that MPC will remain as energetic in the future
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1778703402
    Format: 1 Online-Ressource (432 p.)
    ISBN: 9789533072982 , 9789535160151
    Content: Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_177872132X
    Format: 1 Online-Ressource (306 p.)
    ISBN: 9789533071022 , 9789535159353
    Content: Frontiers of Model Predictive Control Robust Model Predictive Control Nonlinear Model Predictive Control Excellent Applications Guide for Researchers and Engineers Recent Achievements of Authors over the World Theory with Practical Examples Kinds of Algorithms for Choice
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :InTech,
    UID:
    edocfu_9958074829902883
    Format: 1 online resource (306 pages) : , illustrations
    ISBN: 953-51-5935-6
    Content: Frontiers of Model Predictive Control Robust Model Predictive Control Nonlinear Model Predictive Control Excellent Applications Guide for Researchers and Engineers Recent Achievements of Authors over the World Theory with Practical Examples Kinds of Algorithms for Choice
    Note: English
    Additional Edition: ISBN 953-307-102-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :InTech,
    UID:
    almahu_9949280914002882
    Format: 1 online resource (306 pages) : , illustrations
    ISBN: 953-51-5935-6
    Content: Frontiers of Model Predictive Control Robust Model Predictive Control Nonlinear Model Predictive Control Excellent Applications Guide for Researchers and Engineers Recent Achievements of Authors over the World Theory with Practical Examples Kinds of Algorithms for Choice
    Note: English
    Additional Edition: ISBN 953-307-102-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :InTech,
    UID:
    edoccha_9958074829902883
    Format: 1 online resource (306 pages) : , illustrations
    ISBN: 953-51-5935-6
    Content: Frontiers of Model Predictive Control Robust Model Predictive Control Nonlinear Model Predictive Control Excellent Applications Guide for Researchers and Engineers Recent Achievements of Authors over the World Theory with Practical Examples Kinds of Algorithms for Choice
    Note: English
    Additional Edition: ISBN 953-307-102-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :IntechOpen,
    UID:
    almahu_9949281058102882
    Format: 1 online resource (170 pages) : , illustrations
    ISBN: 953-51-6123-7
    Content: Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance, but it is can also be seen as a term denoting a natural control strategy that matches the human thought form most closely. Half a century after its birth, it has been widely accepted in many engineering fields and has brought much benefit to us. The purpose of the book is to show the recent advancements of MPC to the readers, both in theory and in engineering. The idea was to offer guidance to researchers and engineers who are interested in the frontiers of MPC. The examples provided in the first part of this exciting collection will help you comprehend some typical boundaries in theoretical research of MPC. In the second part of the book, some excellent applications of MPC in modern engineering field are presented. With the rapid development of modeling and computational technology, we believe that MPC will remain as energetic in the future.
    Note: English
    Additional Edition: ISBN 953-51-0119-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 9
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :IntechOpen,
    UID:
    edoccha_9959046453802883
    Format: 1 online resource (170 pages) : , illustrations
    ISBN: 953-51-6123-7
    Content: Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance, but it is can also be seen as a term denoting a natural control strategy that matches the human thought form most closely. Half a century after its birth, it has been widely accepted in many engineering fields and has brought much benefit to us. The purpose of the book is to show the recent advancements of MPC to the readers, both in theory and in engineering. The idea was to offer guidance to researchers and engineers who are interested in the frontiers of MPC. The examples provided in the first part of this exciting collection will help you comprehend some typical boundaries in theoretical research of MPC. In the second part of the book, some excellent applications of MPC in modern engineering field are presented. With the rapid development of modeling and computational technology, we believe that MPC will remain as energetic in the future.
    Note: English
    Additional Edition: ISBN 953-51-0119-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 10
    Online Resource
    Online Resource
    IntechOpen | Rijeka, Croatia :IntechOpen,
    UID:
    edocfu_9959046453802883
    Format: 1 online resource (170 pages) : , illustrations
    ISBN: 953-51-6123-7
    Content: Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance, but it is can also be seen as a term denoting a natural control strategy that matches the human thought form most closely. Half a century after its birth, it has been widely accepted in many engineering fields and has brought much benefit to us. The purpose of the book is to show the recent advancements of MPC to the readers, both in theory and in engineering. The idea was to offer guidance to researchers and engineers who are interested in the frontiers of MPC. The examples provided in the first part of this exciting collection will help you comprehend some typical boundaries in theoretical research of MPC. In the second part of the book, some excellent applications of MPC in modern engineering field are presented. With the rapid development of modeling and computational technology, we believe that MPC will remain as energetic in the future.
    Note: English
    Additional Edition: ISBN 953-51-0119-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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