Studies in Computational Intelligence

Modelling Dynamics in Processes and Systems

Editors: Mitkowski, Wojciech (Ed.)

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  • Latest research on modelling dynamics in processes and systems

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About this book

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.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Modeling of Chaotic Systems in the ChaoPhS Program

    Porada, Ryszard (et al.)

    Pages 1-20

  • Model of a Tribological Sensor Contacting Rotating Disc

    Vladimirov, Vsevolod (et al.)

    Pages 21-27

  • The Bifurcations and Chaotic Oscillations in Electric Circuits with Arc

    Sydorets, V.

    Pages 29-42

  • Soft Computing Models for Intelligent Control of Non-linear Dynamical Systems

    Castillo, Oscar (et al.)

    Pages 43-70

  • Model Reference Adaptive Control of Underwater Robot in Spatial Motion

    Garus, Jerzy

    Pages 71-83

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-540-92203-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-540-92202-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-3-642-10075-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Modelling Dynamics in Processes and Systems
Editors
  • Wojciech Mitkowski
Series Title
Studies in Computational Intelligence
Series Volume
180
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-92203-2
DOI
10.1007/978-3-540-92203-2
Hardcover ISBN
978-3-540-92202-5
Softcover ISBN
978-3-642-10075-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 192
Topics