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Titlebook: Modelling Dynamics in Processes and Systems; Wojciech Mitkowski,Janusz Kacprzyk Book 2009 Springer-Verlag Berlin Heidelberg 2009 Adaptive

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發(fā)表于 2025-3-21 18:27:22 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Modelling Dynamics in Processes and Systems
編輯Wojciech Mitkowski,Janusz Kacprzyk
視頻videohttp://file.papertrans.cn/637/636479/636479.mp4
概述Latest research on modelling dynamics in processes and systems
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Modelling Dynamics in Processes and Systems;  Wojciech Mitkowski,Janusz Kacprzyk Book 2009 Springer-Verlag Berlin Heidelberg 2009 Adaptive
描述.Dynamics is what characterizes virtually all phenomenae we face in the real world, and processes that proceed in practically all kinds of inanimate and animate systems, notably social systems. For our purposes dynamics is viewed as time evolution of some characteristic features of the phenomenae or processes under consideration. It is obvious that in virtually all non-trivial problems dynamics can not be neglected, and should be taken into account in the analyses to, first, get insight into the problem consider, and second, to be able to obtain meaningful results...A convenient tool to deal with dynamics and its related evolution over time is to use the concept of a dynamic system which, for the purposes of this volume can be characterized by the input (control), state and output spaces, and a state transition equation. Then, starting from an initial state, we can find a sequence of consecutive states (outputs) under consecutive inputs (controls). That is, we obtain a trajectory. The state transition equation may be given in various forms, exemplified by differential and difference equations, linear or nonlinear, deterministic or stochastic, or even fuzzy (imprecisely specified),
出版日期Book 2009
關(guān)鍵詞Adaptive control; Cyc; Ensembl; Racter; artificial intelligence; dynamical systems; evolution; modeling; rob
版次1
doihttps://doi.org/10.1007/978-3-540-92203-2
isbn_softcover978-3-642-10075-8
isbn_ebook978-3-540-92203-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Book 2009secutive states (outputs) under consecutive inputs (controls). That is, we obtain a trajectory. The state transition equation may be given in various forms, exemplified by differential and difference equations, linear or nonlinear, deterministic or stochastic, or even fuzzy (imprecisely specified),
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978-3-642-10075-8Springer-Verlag Berlin Heidelberg 2009
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Modelling Dynamics in Processes and Systems978-3-540-92203-2Series ISSN 1860-949X Series E-ISSN 1860-9503
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Studies in Computational Intelligencehttp://image.papertrans.cn/m/image/636479.jpg
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https://doi.org/10.1007/978-3-540-92203-2Adaptive control; Cyc; Ensembl; Racter; artificial intelligence; dynamical systems; evolution; modeling; rob
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Wojciech Mitkowski,Janusz KacprzykLatest research on modelling dynamics in processes and systems
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https://doi.org/10.1007/BFb0110664Pendulum; Sagnac effect; development; experiment; phase; physics; system
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