Modelling Dynamics in Processes and Systems

Modelling Dynamics in Processes and Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 195
Release :
ISBN-10 : 9783540922025
ISBN-13 : 3540922024
Rating : 4/5 (024 Downloads)

Book Synopsis Modelling Dynamics in Processes and Systems by : Wojciech Mitkowski

Download or read book Modelling Dynamics in Processes and Systems written by Wojciech Mitkowski and published by Springer Science & Business Media. This book was released on 2009-06-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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