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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
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Multi-model Jumping Systems: Robust Filtering and Fault Detection
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Multi-model Jumping Systems: Robust Filtering and Fault Detection
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain (Lecture Notes in Control and Information Sciences)
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain (Lecture Notes in Control and Information Sciences, 492)
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
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Add to basketHardcover. Condition: Brand New. 195 pages. 9.25x6.10x9.21 inches. In Stock.
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Robust Control For Discrete-time Markovi
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Multi-model Jumping Systems: Robust Filtering and Fault Detection
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9813364734 ISBN 13: 9789813364738
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The book also demonstrates the validity and practicability of the theoretical results using simulation and practical examples, like circuit systems, robot systems and power systems. Further, it introduces readers to methods such as finite-time filtering, finite-frequency robust filtering, as well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems, including circuit, network and mechanical systems.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specified performances. It explores how these tools can make the systems more applicable to fields such as economic systems, ecological systems and solar thermal central receivers, by limiting system trajectories in the desired bound in a given time interval.Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain focuses on multiple aspects of finite-time stability and control, including:finite-time H-infinity control;finite-time sliding mode control;finite-time multi-frequency control;finite-time model predictive control; andhigh-order moment finite-time control for multi-mode systemsand also provides many methods and algorithms to solve problems related to Markovian jump systems with simulation examples that illustrate the design procedure and confirm the results of the methods proposed.The thorough discussion of these topics makes the book a useful guide for researchers, industrial engineers and graduate students alike, enabling them systematically to establish the modeling, analysis and synthesis for Markovian jump systems in the finite-time domain.
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Taschenbuch. Condition: Neu. Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain | Xiaoli Luan (u. a.) | Taschenbuch | xi | Englisch | 2024 | Springer | EAN 9783031221842 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
Language: English
Published by Springer International Publishing, 2024
ISBN 10: 3031221842 ISBN 13: 9783031221842
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specified performances. It explores how these tools can make the systems more applicable to fields such as economic systems, ecological systems and solar thermal central receivers, by limiting system trajectories in the desired bound in a given time interval.Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain focuses on multiple aspects of finite-time stability and control, including:finite-timeH-infinity control;finite-time sliding mode control;finite-time multi-frequency control;finite-time model predictive control; andhigh-order moment finite-time control for multi-mode systemsand also provides many methods and algorithms to solve problems related to Markovian jump systems with simulation examples that illustrate the design procedure and confirm the results of the methods proposed.The thorough discussion of these topics makes the book a useful guide for researchers, industrial engineers and graduate students alike, enabling them systematically to establish the modeling, analysis and synthesis for Markovian jump systems in the finite-time domain.
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031221818 ISBN 13: 9783031221811
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides robust analysis and synthesis tools for Markovian jump systems in the finite-time domain with specified performances. It explores how these tools can make the systems more applicable to fields such as economic systems, ecological systems and solar thermal central receivers, by limiting system trajectories in the desired bound in a given time interval.Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain focuses on multiple aspects of finite-time stability and control, including:finite-timeH-infinity control;finite-time sliding mode control;finite-time multi-frequency control;finite-time model predictive control; andhigh-order moment finite-time control for multi-mode systemsand also provides many methods and algorithms to solve problems related to Markovian jump systems with simulation examples that illustrate the design procedure and confirm the results of the methods proposed.The thorough discussion of these topics makes the book a useful guide for researchers, industrial engineers and graduate students alike, enabling them systematically to establish the modeling, analysis and synthesis for Markovian jump systems in the finite-time domain.
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Condition: New.
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031221834 ISBN 13: 9783031221835
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
Language: English
Published by Springer Nature B.V., 2023
ISBN 10: 3031221834 ISBN 13: 9783031221835
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Multi-model Jumping Systems: Robust Filtering and Fault Detection
Language: English
Published by Springer Nature Singapore Mrz 2021, 2021
ISBN 10: 9813364734 ISBN 13: 9789813364738
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The book also demonstrates the validity and practicability of the theoretical results using simulation and practical examples, like circuit systems, robot systems and power systems. Further, it introduces readers to methods such as finite-time filtering, finite-frequency robust filtering, as well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems, including circuit, network and mechanical systems. 196 pp. Englisch.
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Multi-model Jumping Systems: Robust Filtering and Fault Detection
Language: English
Published by Springer Nature Singapore Mrz 2022, 2022
ISBN 10: 9813364769 ISBN 13: 9789813364769
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The book also demonstrates the validity and practicability of the theoretical results using simulation and practical examples, like circuit systems, robot systems and power systems. Further, it introduces readers to methods such as finite-time filtering, finite-frequency robust filtering, as well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems, including circuit, network and mechanical systems. 196 pp. Englisch.
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