Modelling dynamics in processes and systems
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...
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| Tác giả chính: | |
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| Tác giả khác: | |
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Phiên bản: | 1st ed. 2009. |
| Loạt: | Studies in Computational Intelligence
180 |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modelling dynamics in processes and systems, edited by Janusz Kacprzyk, Wojciech Mitkowski, Berlin, Heidelberg, Springer, 2009, 1 vol. (188 p.), Studies in Computational Intelligence, 978-3-540-92202-5 • Modelling Dynamics in Processes and Systems, Texte imprimé, 9783540922858 • Modelling dynamics in processes and systems, edited by Janusz Kacprzyk, Wojciech Mitkowski, Berlin, Heidelberg, Springer, 2009, 1 vol. (188 p.), Studies in Computational Intelligence, 978-3-540-92202-5 • Modelling Dynamics in Processes and Systems, Texte imprimé, 9783642100758 |
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| 245 | 1 | 0 | |a Modelling dynamics in processes and systems |c edited by Janusz Kacprzyk, Wojciech Mitkowski. |
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| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
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| 505 | 1 | |a Basic Tools and Techniques for the Modelling of Dynamics Modeling of Chaotic Systems in the ChaoPhS Program Model of a Tribological Sensor Contacting Rotating Disc The Bifurcations and Chaotic Oscillations in Electric Circuits with Arc Modelling Dynamics in Control and Robotics Soft Computing Models for Intelligent Control of Non-linear Dynamical Systems Model Reference Adaptive Control of Underwater Robot in Spatial Motion Feedback Stabilization of Distributed Parameter Gyroscopic Systems Stabilization Results of Second-Order Systems with Delayed Positive Feedback Modelling Dynamics in Biological Processes A Comparison of Modeling Approaches for the Spread of Prion Diseases in the Brain Ensemble Modeling for Bio-medical Applications New Application Areas Automatic Fingerprint Identification Based on Minutiae Points Image Filtering Using the Dynamic Particles Method The Simulation of Cyclic Thermal Swing Adsorption (TSA) Process The Stress Field Induced Diffusion | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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), fully or partially known, etc. These features can give rise to various problems the analysts may encounter like numerical difficulties, instability, strange forms of behavior (e.g. chaotic), etc. This volume is concerned with some modern tools and techniques which can be useful for the modeling of dynamics. We focus our attention on two important areas which play a key role nowadays, namely automation and robotics, and biological systems. We also add some new applications which can greatly benefit from the availability of effective and efficient tools for modeling dynamics, exemplified by some applications in security systems | ||
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 700 | 1 | |a Mitkowski, Wojciech. |4 pbd | |
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