Adaptation in dynamical systems:
In the context of this book, adaptation is taken to mean a feature of a system aimed at achieving the best possible performance, when mathematical models of the environment and the system itself are not fully available. This has applications ranging from theories of visual perception and the process...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2011
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| Online-Zugang: | BSB01 FHN01 URL des Erstveröffentlichers |
| Zusammenfassung: | In the context of this book, adaptation is taken to mean a feature of a system aimed at achieving the best possible performance, when mathematical models of the environment and the system itself are not fully available. This has applications ranging from theories of visual perception and the processing of information, to the more technical problems of friction compensation and adaptive classification of signals in fixed-weight recurrent neural networks. Largely devoted to the problems of adaptive regulation, tracking and identification, this book presents a unifying system-theoretic view on the problem of adaptation in dynamical systems. Special attention is given to systems with nonlinearly parameterized models of uncertainty. Concepts, methods and algorithms given in the text can be successfully employed in wider areas of science and technology. The detailed examples and background information make this book suitable for a wide range of researchers and graduates in cybernetics, mathematical modelling and neuroscience |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xvii, 410 pages) |
| ISBN: | 9780511973437 |
| DOI: | 10.1017/CBO9780511973437 |
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| 505 | 8 | |a Part I: Introduction and preliminaries -- Introduction -- Preliminaries -- The problem of adaptation in dynamical systems -- Part II: Theory -- Input-output analysis of uncertain dynamical systems -- Adaptive regulation in dynamical systems in presence of nonlinear parametrization and unstable target dynamics -- Part III: Applications -- Adaptive behaviour in recurrent neural networks with fixed weights -- Adaptive template matching in systems for processing of visual information -- State and parameter estimation of neural oscillators | |
| 520 | |a In the context of this book, adaptation is taken to mean a feature of a system aimed at achieving the best possible performance, when mathematical models of the environment and the system itself are not fully available. This has applications ranging from theories of visual perception and the processing of information, to the more technical problems of friction compensation and adaptive classification of signals in fixed-weight recurrent neural networks. Largely devoted to the problems of adaptive regulation, tracking and identification, this book presents a unifying system-theoretic view on the problem of adaptation in dynamical systems. Special attention is given to systems with nonlinearly parameterized models of uncertainty. Concepts, methods and algorithms given in the text can be successfully employed in wider areas of science and technology. The detailed examples and background information make this book suitable for a wide range of researchers and graduates in cybernetics, mathematical modelling and neuroscience | ||
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| author | Tyukin, Ivan |
| author_facet | Tyukin, Ivan |
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| author_sort | Tyukin, Ivan |
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| bvnumber | BV043945377 |
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| contents | Part I: Introduction and preliminaries -- Introduction -- Preliminaries -- The problem of adaptation in dynamical systems -- Part II: Theory -- Input-output analysis of uncertain dynamical systems -- Adaptive regulation in dynamical systems in presence of nonlinear parametrization and unstable target dynamics -- Part III: Applications -- Adaptive behaviour in recurrent neural networks with fixed weights -- Adaptive template matching in systems for processing of visual information -- State and parameter estimation of neural oscillators |
| ctrlnum | (ZDB-20-CBO)CR9780511973437 (OCoLC)839011993 (DE-599)BVBBV043945377 |
| dewey-full | 515/.39 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 515 - Analysis |
| dewey-raw | 515/.39 |
| dewey-search | 515/.39 |
| dewey-sort | 3515 239 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1017/CBO9780511973437 |
| format | Electronic eBook |
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| id | DE-604.BV043945377 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:23Z |
| institution | BVB |
| isbn | 9780511973437 |
| language | English |
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| oclc_num | 839011993 |
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| physical | 1 online resource (xvii, 410 pages) |
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| publishDate | 2011 |
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| publisher | Cambridge University Press |
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| spelling | Tyukin, Ivan Verfasser aut Adaptation in dynamical systems Ivan Tyukin Cambridge Cambridge University Press 2011 1 online resource (xvii, 410 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Part I: Introduction and preliminaries -- Introduction -- Preliminaries -- The problem of adaptation in dynamical systems -- Part II: Theory -- Input-output analysis of uncertain dynamical systems -- Adaptive regulation in dynamical systems in presence of nonlinear parametrization and unstable target dynamics -- Part III: Applications -- Adaptive behaviour in recurrent neural networks with fixed weights -- Adaptive template matching in systems for processing of visual information -- State and parameter estimation of neural oscillators In the context of this book, adaptation is taken to mean a feature of a system aimed at achieving the best possible performance, when mathematical models of the environment and the system itself are not fully available. This has applications ranging from theories of visual perception and the processing of information, to the more technical problems of friction compensation and adaptive classification of signals in fixed-weight recurrent neural networks. Largely devoted to the problems of adaptive regulation, tracking and identification, this book presents a unifying system-theoretic view on the problem of adaptation in dynamical systems. Special attention is given to systems with nonlinearly parameterized models of uncertainty. Concepts, methods and algorithms given in the text can be successfully employed in wider areas of science and technology. The detailed examples and background information make this book suitable for a wide range of researchers and graduates in cybernetics, mathematical modelling and neuroscience Mathematik Mathematisches Modell Dynamics Control theory / Mathematical models Neurosciences / Mathematics Erscheint auch als Druckausgabe 978-0-521-19819-6 https://doi.org/10.1017/CBO9780511973437 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Tyukin, Ivan Adaptation in dynamical systems Part I: Introduction and preliminaries -- Introduction -- Preliminaries -- The problem of adaptation in dynamical systems -- Part II: Theory -- Input-output analysis of uncertain dynamical systems -- Adaptive regulation in dynamical systems in presence of nonlinear parametrization and unstable target dynamics -- Part III: Applications -- Adaptive behaviour in recurrent neural networks with fixed weights -- Adaptive template matching in systems for processing of visual information -- State and parameter estimation of neural oscillators Mathematik Mathematisches Modell Dynamics Control theory / Mathematical models Neurosciences / Mathematics |
| title | Adaptation in dynamical systems |
| title_auth | Adaptation in dynamical systems |
| title_exact_search | Adaptation in dynamical systems |
| title_full | Adaptation in dynamical systems Ivan Tyukin |
| title_fullStr | Adaptation in dynamical systems Ivan Tyukin |
| title_full_unstemmed | Adaptation in dynamical systems Ivan Tyukin |
| title_short | Adaptation in dynamical systems |
| title_sort | adaptation in dynamical systems |
| topic | Mathematik Mathematisches Modell Dynamics Control theory / Mathematical models Neurosciences / Mathematics |
| topic_facet | Mathematik Mathematisches Modell Dynamics Control theory / Mathematical models Neurosciences / Mathematics |
| url | https://doi.org/10.1017/CBO9780511973437 |
| work_keys_str_mv | AT tyukinivan adaptationindynamicalsystems |