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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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发表于 2025-3-21 18:27:22 | 显示全部楼层 |阅读模式
书目名称Modelling Dynamics in Processes and Systems
编辑Wojciech Mitkowski,Janusz Kacprzyk
视频video
概述Latest research on modelling dynamics in processes and systems
丛书名称Studies in Computational Intelligence
图书封面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
关键词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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发表于 2025-3-22 02:03:44 | 显示全部楼层
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
发表于 2025-3-22 19:10:19 | 显示全部楼层
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
发表于 2025-3-23 05:23:38 | 显示全部楼层
Wojciech Mitkowski,Janusz KacprzykLatest research on modelling dynamics in processes and systems
发表于 2025-3-23 07:31:58 | 显示全部楼层
https://doi.org/10.1007/BFb0110664Pendulum; Sagnac effect; development; experiment; phase; physics; system
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