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  • 1
    Online Resource
    Online Resource
    Robust Control-Oriented Linear Fractional Transform Modelling : Applications for the µ-Synthesis Based H∞ Control (2023)
    Singapore :Springer Nature Singapore :
    Details
    UID:
    almahu_9949435609902882
    Format: XI, 161 p. 96 illus., 95 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811974625
    Series Statement: Studies in Systems, Decision and Control, 453
    Content: This book covers a new paradigm of system modeling - the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input-output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.
    Note: Introduction -- Mathematical Modelling of Real Physical System -- Control Oriented Linear Fractional Transformation -- Synthesis Based H∞ Control Theory -- Generalized Control Oriented LFT Modelling of a Coupled Uncertain MIMO System -- Control-Oriented LFT Modelling of a Two-DOF Spring- Mass-Dashpot Dynamic System -- Control Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot with Slip Dynamics.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789811974618
    Additional Edition: Printed edition: ISBN 9789811974632
    Additional Edition: Printed edition: ISBN 9789811974649
    Language: English
    DOI: 10.1007/978-981-19-7462-5
    URL: https://doi.org/10.1007/978-981-19-7462-5
    URL: Volltext  (URL des Erstveröffentlichers)
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    HU Berlin
    TH Brandenburg
    HTW Berlin
    BTU Cottbus
  • 2
    Online Resource
    Online Resource
    Modelling and Simulation in Science, Technology and Engineering Mathematics : Proceedings of the International Conference on Modelling and Simulation (MS-17) (2019)
    Cham : Springer International Publishing
    Details
    UID:
    b3kat_BV045270207
    Format: 1 Online-Ressource (XIV, 693 p. 403 illus., 242 illus. in color)
    ISBN: 9783319748085
    Series Statement: Advances in Intelligent Systems and Computing 749
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-74807-8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-74809-2
    Language: English
    DOI: 10.1007/978-3-319-74808-5
    URL: Volltext  (URL des Erstveröffentlichers)
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    HTW Berlin
    BTU Cottbus
  • 3
    Article
    Article
    Size selective harvesting does not result in reproductive isolation among experimental lines of Zebrafish, Danio rerio : implications for managing harvest-induced evolution (2021)
    MDPI,
    Details
    UID:
    kobvindex_IGB000024802
    ISSN: 2079-7737
    In: Biology. - 10(2021)2, Art. 113
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    Article
    IGB Berlin get availability status
  • 4
    Online Resource
    Online Resource
    Size Selective Harvesting Does Not Result in Reproductive Isolation among Experimental Lines of Zebrafish, Danio rerio: Implications for Managing Harvest-Induced Evolution (2021)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_23556
    Format: 1 Online-Ressource (18 Seiten)
    Content: Mortality in fish populations is commonly size-selective. In fisheries, larger fish are preferentially caught while natural predators preferentially consume smaller fish. Removal of certain sized fish from populations and elevated fishing mortality constitute a selection pressure which may change life-history, behaviour and reduce adult body-size. Because behaviour and body-size are related and influence mating preferences and reproductive output, size-selective mortality may favour subpopulations that less readily mate with each other. Our aim is to test this possibility using three experimental lines of zebrafish (Danio rerio) generated in laboratory by removing large-sized, small-sized and random-sized fish for five generations. We tested mating preferences among males and females and tested if they spawned together. We found males and females of all subpopulations to reproduce among themselves. Females generally preferred large-sized males. Females of all lines spawned with males, and males of all lines fertilised eggs of females independent of the subpopulation origin. Our study shows that size-selective mortality typical of fisheries or in populations facing heavy predation does not result in evolution of reproductive barriers. Thus, when populations adapted to fishing pressure come in contact with populations unexposed to such pressures, interbreeding may happen thereby helping exploited populations recover from harvest-induced evolution.
    Content: Size-selective mortality is common in fish stocks. Positive size-selection happens in fisheries where larger size classes are preferentially targeted while gape-limited natural predation may cause negative size-selection for smaller size classes. As body size and correlated behavioural traits are sexually selected, harvest-induced trait changes may promote prezygotic reproductive barriers among selection lines experiencing differential size-selective mortality. To investigate this, we used three experimental lines of zebrafish (Danio rerio) exposed to positive (large-harvested), negative (small-harvested) and random (control line) size-selective mortality for five generations. We tested prezygotic preferences through choice tests and spawning trials. In the preference tests without controlling for body size, we found that females of all lines preferred males of the generally larger small-harvested line. When the body size of stimulus fish was statistically controlled, this preference disappeared and a weak evidence of line-assortative preference emerged, but only among large-harvested line fish. In subsequent spawning trials, we did not find evidence for line-assortative reproductive allocation in any of the lines. Our study suggests that size-selection due to fisheries or natural predation does not result in reproductive isolation. Gene flow between wild-populations and populations adapted to size-selected mortality may happen during secondary contact which can speed up trait recovery.
    Content: Peer Reviewed
    In: Basel : MDPI, 10,2
    Language: English
    DOI: 10.3390/biology10020113
    DOI: 10.18452/22894
    URN: urn:nbn:de:kobv:11-110-18452/23556-9
    URL: Volltext  (kostenfrei)
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    HU Berlin
  • 5
    Online Resource
    Online Resource
    Modelling and Simulation in Science, Technology and Engineering Mathematics : Proceedings of the International Conference on Modelling and Simulation (MS-17) (2019)
    Cham :Springer International Publishing :
    Details
    UID:
    edoccha_9959014456802883
    Format: 1 online resource (666 pages)
    Edition: 1st ed. 2019.
    ISBN: 3-319-74808-4
    Series Statement: Advances in Intelligent Systems and Computing, 749
    Content: This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.
    Note: Modelling and Simulation in Physics -- Modelling and Simulation in Mathematics -- Internet of Things -- Control Systems -- Drives & Automation -- Power System -- Sensors, Instrumentation & Measurements -- Power Electronics -- Energy -- Solar energy -- Unmanned Aerial Vehicles -- Robotics -- Computation, Modelling & Simulation -- General Applications of M&S. Fuzzy Sets and Systems -- Computational Intelligence -- Decision Making and Expert Systems -- Operational Research -- Modelling and Simulation Applications in Health and Safety -- Case Studies and Experimental Results.
    Additional Edition: ISBN 3-319-74807-6
    Language: English
    DOI: 10.1007/978-3-319-74808-5
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    Charité
  • 6
    Online Resource
    Online Resource
    Modelling and Simulation in Science, Technology and Engineering Mathematics : Proceedings of the International Conference on Modelling and Simulation (MS-17) (2019)
    Cham :Springer International Publishing :
    Details
    UID:
    almafu_9959014456802883
    Format: 1 online resource (666 pages)
    Edition: 1st ed. 2019.
    ISBN: 3-319-74808-4
    Series Statement: Advances in Intelligent Systems and Computing, 749
    Content: This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.
    Note: Modelling and Simulation in Physics -- Modelling and Simulation in Mathematics -- Internet of Things -- Control Systems -- Drives & Automation -- Power System -- Sensors, Instrumentation & Measurements -- Power Electronics -- Energy -- Solar energy -- Unmanned Aerial Vehicles -- Robotics -- Computation, Modelling & Simulation -- General Applications of M&S. Fuzzy Sets and Systems -- Computational Intelligence -- Decision Making and Expert Systems -- Operational Research -- Modelling and Simulation Applications in Health and Safety -- Case Studies and Experimental Results.
    Additional Edition: ISBN 3-319-74807-6
    Language: English
    DOI: 10.1007/978-3-319-74808-5
    Library Location Call Number Volume/Issue/Year Availability
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    Charité
  • 7
    Online Resource
    Online Resource
    Robust control-oriented linear fractional transform modelling : applications for the µ-synthesis based H control (2023)
    Singapore :Springer,
    Details
    UID:
    almafu_9961000637702883
    Format: 1 online resource (166 pages)
    Edition: 1st ed. 2023.
    ISBN: 981-19-7462-4
    Series Statement: Studies in Systems, Decision and Control, 453
    Content: This book covers a new paradigm of system modeling – the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input–output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.
    Note: Includes index. , Introduction -- Mathematical Modelling of Real Physical System -- Control Oriented Linear Fractional Transformation -- Synthesis Based H∞ Control Theory -- Generalized Control Oriented LFT Modelling of a Coupled Uncertain MIMO System -- Control-Oriented LFT Modelling of a Two-DOF Spring- Mass-Dashpot Dynamic System -- Control Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot with Slip Dynamics.
    Additional Edition: Print version: Roy, Tamal Robust Control-Oriented Linear Fractional Transform Modelling Singapore : Springer,c2023 ISBN 9789811974618
    Language: English
    DOI: 10.1007/978-981-19-7462-5
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