Display Abstract

Title Computer simulation of macro system nonlinear dynamics

Name Paul Inchin
Country Kazakhstan
Email paul.inchin@yahoo.com
Co-Author(s)
Submit Time 2014-02-27 10:53:56
Session
Special Session 25: Dynamics of chaotic and complex systems and applications
Contents
We propose a class of the dynamical systems as nonlinear matrix models for macro system dynamics in the presence of limiting factor. The dynamical systems are generated by non-invertible generally, map $F$ of the form $F y = \Phi(\|y\|) A y$ in some compact $\mathrm{X} \subset \mathbb{R}^n$. Here $\mathrm{R}^n$ is $n$- dimensional real vector-space, $A$ is a matrix of $n$ order, $\|\cdot\|$ is a vector norm in $\mathrm{R}^n$ and $\Phi(\|y\|)$ is a (scalar) function playing a role of a limiting factor. The results of qualitative theory we develop for this class of the dynamical systems are essentially used in modelling. In this talk we present an application package for Matlab which we elaborate for the numerical realization of models. A computer method is developed for determining the macro system asymptotic behavior. We call it the method of one-dimensional superpositions. The advantages of applying the results of the qualitative research and using the method of one-dimensional superpositions in computer simulation of the dynamics of macro systems governed by this class of models are discussed. In particular, the method proved to be very useful for a large number of macro system's components ($n$) and big periods ($> n$ and $> n^2$) of asymptotically stabilized macro system structure if to denote the macro system structure (at the time $m$) by the vector $\|F^m y\|^{-1}F^m y$.