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  • 1
    Online Resource
    Online Resource
    Recent Advances in Control Problems of Dynamical Systems and Networks (2021)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948612936102882
    Format: XXXIX, 527 p. 160 illus., 143 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030491239
    Series Statement: Studies in Systems, Decision and Control, 301
    Content: This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging "hottest" problems in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven't been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide. .
    Note: Linear and Nonlinear Dynamic Systems -- Switched Systems and Hybrid Control -- Fractional-Order Systems -- Dynamical Networks -- Index.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030491222
    Additional Edition: Printed edition: ISBN 9783030491246
    Additional Edition: Printed edition: ISBN 9783030491253
    Language: English
    DOI: 10.1007/978-3-030-49123-9
    URL: https://doi.org/10.1007/978-3-030-49123-9
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Dynamic systems with time delays: stability and control / (2019)
    Singapore :Springer,
    Details
    UID:
    almahu_BV046137254
    Format: 1 Online-Ressource (xxxi, 335 Seiten) : , Diagramme (teilweise farbig).
    ISBN: 978-981-13-9254-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-13-9253-5
    Language: English
    Subjects: Mathematics
    RVK:
    SK 880
    DOI: 10.1007/978-981-13-9254-2
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031517554&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Buchcover
    URL: lizenzpflichtig
    URL: Cover
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  • 3
    Online Resource
    Online Resource
    Singularly Perturbed Jump Systems : Stability, Synchronization and Control (2024)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949744369302882
    Format: XII, 249 p. 102 illus., 101 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9789819701988
    Series Statement: Studies in Systems, Decision and Control, 522
    Content: In this book, various singularly perturbed jump system models in continuous-time or discrete-time domain, such as Markov jump singularly perturbed systems, semi-Markov jump singularly perturbed systems, hidden Markov jump singularly perturbed systems, and singularly perturbed jump complex network model, have been considered for some control synthesis problems. Also, some partial probability information cases are taken into account when addressing those control synthesis problems. To show the effectiveness and applicability of the obtained results, some numerical examples and practical industrial model examples are given.
    Note: Chapter 1 Introduction and Preview -- Chapter 2 Stochastic Stability Analysis and Stabilization -- Chapter 3 Control of Linear Systems Case -- Chapter 4 Control of Nonlinear Systems Case -- Chapter 5 Synchronization of Complex Networks Case -- Chapter 6 Stabilization of Linear Systems Case -- Chapter 7 Stabilization of Nonlinear Systems Case -- Chapter 8 Synchronization of Complex Networks Case -- Chapter 9 Control of Linear Systems Case -- Chapter 10 Control of Nonlinear Systems Case -- Chapter 11 Finite-time Control Case.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819701971
    Additional Edition: Printed edition: ISBN 9789819701995
    Additional Edition: Printed edition: ISBN 9789819702008
    Language: English
    DOI: 10.1007/978-981-97-0198-8
    URL: https://doi.org/10.1007/978-981-97-0198-8
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Book
    Book
    Dynamic systems with time delays : stability and control (2019)
    Singapore :Springer,
    Details
    UID:
    almafu_BV047078352
    Format: xxxi, 335 Seiten : , Diagramme (teilweise farbig).
    ISBN: 978-981-13-9253-5
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-981-13-9254-2
    Language: English
    Subjects: Mathematics
    RVK:
    SK 880
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    HU Berlin get availability status
    FU Berlin get availability status
    TU Berlin get availability status
  • 5
    Online Resource
    Online Resource
    Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals (2019)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948029455902882
    Format: XXVII, 226 p. 56 illus., 54 illus. in color. , online resource.
    ISBN: 9783319962023
    Series Statement: Studies in Systems, Decision and Control, 170
    Content: This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
    Note: Introduction -- Network-based Control with Asynchronous Samplings and Quantizations -- Quantized Static Output Feedback Control For Discrete-Time Systems -- Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data -- Reliable Event-triggered Retarded Dynamic Output Feedback H∞ Control for Networked Systems -- Reliable H∞ Event-triggered Control for Markov Jump Systems -- Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-time Nonlinear Systems -- Fuzzy Generalized H2 Filtering For Nonlinear Discrete-Time Systems With Measurement Quantization -- Event-triggered Dissipative Filtering for Networked semi-Markov Jump Systems -- Network-based H∞ State Estimation for Neural Networks Using Limited Measurement -- Mixed H∞/passive Synchronization for Complex Dynamical Networks with Sampled-data Control -- Index.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319962016
    Additional Edition: Printed edition: ISBN 9783319962030
    Language: English
    DOI: 10.1007/978-3-319-96202-3
    URL: https://doi.org/10.1007/978-3-319-96202-3
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
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    BTU Cottbus
  • 6
    Online Resource
    Online Resource
    Impulsive Synchronization of Complex Dynamical Networks : Modeling, Control and Simulations (2022)
    Singapore : Springer Singapore | Singapore : Springer
    Details
    UID:
    b3kat_BV047832991
    Format: 1 Online-Ressource (XIX, 182 p. 33 illus., 32 illus. in color)
    Edition: 1st ed. 2022
    ISBN: 9789811653834
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1653-82-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1653-84-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1653-85-8
    Language: English
    DOI: 10.1007/978-981-16-5383-4
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
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    HTW Berlin
    BTU Cottbus
  • 7
    Online Resource
    Online Resource
    Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals / (2019)
    Cham :Springer International Publishing :
    Details
    UID:
    edoccha_9959767651502883
    Format: 1 online resource (240 pages)
    Edition: 1st ed. 2019.
    ISBN: 3-319-96202-7
    Series Statement: Studies in Systems, Decision and Control, 170
    Content: This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
    Note: Introduction -- Network-based Control with Asynchronous Samplings and Quantizations -- Quantized Static Output Feedback Control For Discrete-Time Systems -- Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data -- Reliable Event-triggered Retarded Dynamic Output Feedback H∞ Control for Networked Systems -- Reliable H∞ Event-triggered Control for Markov Jump Systems -- Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-time Nonlinear Systems -- Fuzzy Generalized H2 Filtering For Nonlinear Discrete-Time Systems With Measurement Quantization -- Event-triggered Dissipative Filtering for Networked semi-Markov Jump Systems -- Network-based H∞ State Estimation for Neural Networks Using Limited Measurement -- Mixed H∞/passive Synchronization for Complex Dynamical Networks with Sampled-data Control -- Index.
    Additional Edition: ISBN 3-319-96201-9
    Language: English
    DOI: 10.1007/978-3-319-96202-3
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  • 8
    Online Resource
    Online Resource
    Recent Advances in Control Problems of Dynamical Systems and Networks / (2021)
    Cham :Springer International Publishing :
    Details
    UID:
    edoccha_9959768665502883
    Format: 1 online resource (548 pages) : , illustrations
    Edition: 1st ed. 2021.
    ISBN: 3-030-49123-4
    Series Statement: Studies in Systems, Decision and Control, 301
    Content: This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide. .
    Note: Linear and Nonlinear Dynamic Systems -- Switched Systems and Hybrid Control -- Fractional-Order Systems -- Dynamical Networks -- Index.
    Additional Edition: ISBN 3-030-49122-6
    Language: English
    DOI: 10.1007/978-3-030-49123-9
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    Charité
  • 9
    Online Resource
    Online Resource
    Recent Advances in Control Problems of Dynamical Systems and Networks / (2021)
    Cham :Springer International Publishing :
    Details
    UID:
    almafu_9959768665502883
    Format: 1 online resource (548 pages) : , illustrations
    Edition: 1st ed. 2021.
    ISBN: 3-030-49123-4
    Series Statement: Studies in Systems, Decision and Control, 301
    Content: This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide. .
    Note: Linear and Nonlinear Dynamic Systems -- Switched Systems and Hybrid Control -- Fractional-Order Systems -- Dynamical Networks -- Index.
    Additional Edition: ISBN 3-030-49122-6
    Language: English
    DOI: 10.1007/978-3-030-49123-9
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    Charité
  • 10
    Online Resource
    Online Resource
    Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals / (2019)
    Cham :Springer International Publishing :
    Details
    UID:
    almafu_9959767651502883
    Format: 1 online resource (240 pages)
    Edition: 1st ed. 2019.
    ISBN: 3-319-96202-7
    Series Statement: Studies in Systems, Decision and Control, 170
    Content: This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
    Note: Introduction -- Network-based Control with Asynchronous Samplings and Quantizations -- Quantized Static Output Feedback Control For Discrete-Time Systems -- Sampled-Data Control for a Class of Linear Systems with Randomly Occurring Missing Data -- Reliable Event-triggered Retarded Dynamic Output Feedback H∞ Control for Networked Systems -- Reliable H∞ Event-triggered Control for Markov Jump Systems -- Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-time Nonlinear Systems -- Fuzzy Generalized H2 Filtering For Nonlinear Discrete-Time Systems With Measurement Quantization -- Event-triggered Dissipative Filtering for Networked semi-Markov Jump Systems -- Network-based H∞ State Estimation for Neural Networks Using Limited Measurement -- Mixed H∞/passive Synchronization for Complex Dynamical Networks with Sampled-data Control -- Index.
    Additional Edition: ISBN 3-319-96201-9
    Language: English
    DOI: 10.1007/978-3-319-96202-3
    Library Location Call Number Volume/Issue/Year Availability
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