scholarly journals Stability, Chaos Diagnose and Adaptive Control of Two Dimensional Discrete - Time Dynamical System

OALib ◽  
2021 ◽  
Vol 08 (03) ◽  
pp. 1-13
Author(s):  
Maysoon M. Aziz ◽  
Omar M. Jihad
1997 ◽  
Vol 07 (02) ◽  
pp. 401-406 ◽  
Author(s):  
P. E. Kloeden ◽  
J. Mustard

A discrete-time dynamical system can sometimes display quite different dynamical behavior under spatial discretization. Systems generated by maps for which the Lebesgue measure is invariant are, however, robust in the sense that they can be approximated by permutations on a uniform lattice. A fast algorithm to construct such permutations is presented here and its implementation is illustrated with several examples of well–known one and two dimensional systems.


2019 ◽  
Vol 12 (02) ◽  
pp. 1950015 ◽  
Author(s):  
U. A. Rozikov ◽  
S. K. Shoyimardonov

We consider a discrete-time dynamical system generated by a nonlinear operator (with four real parameters [Formula: see text]) of ocean ecosystem. We find conditions on the parameters under which the operator is reduced to a [Formula: see text]-Volterra quadratic stochastic operator mapping two-dimensional simplex to itself. We show that if [Formula: see text], then (under some conditions on [Formula: see text]) this [Formula: see text]-Volterra operator may have up to three or a countable set of fixed points; if [Formula: see text], then the operator has up to three fixed points. Depending on the parameters, the fixed points may be attracting, repelling or saddle points. The limit behaviors of trajectories of the dynamical system are studied. It is shown that independently on values of parameters and on initial (starting) point, all trajectories converge. Thus, the operator (dynamical system) is regular. We give some biological interpretations of our results.


1998 ◽  
Vol 08 (07) ◽  
pp. 1585-1590 ◽  
Author(s):  
Guanrong Chen ◽  
Dejian Lai

In this paper, a simple feedback control design method earlier proposed by us for discrete-time dynamical systems is proved to be a mathematically rigorous approach for anticontrol of chaos, in the sense that any given discrete-time dynamical system can be made chaotic by the designed state-feedback controller along with the mod-operations.


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