Practical Stability and Analysis of Sensitivity of Parameters Dependent Dynamic Systems with Variable Dimension of Phase Space

2016 ◽  
Vol 48 (6) ◽  
pp. 79-94
Author(s):  
Olga L. Sopronyuk
2019 ◽  
Vol 8 (3) ◽  
pp. 393-401 ◽  
Author(s):  
T. Haj Mohamad ◽  
Foad Nazari ◽  
C. Nataraj

Abstract Background In general, diagnostics can be defined as the procedure of mapping the information obtained in the measurement space to the presence and magnitude of faults in the fault space. These measurements, and especially their nonlinear features, have the potential to be exploited to detect changes in dynamics due to the faults. Purpose We have been developing some interesting techniques for fault diagnostics with gratifying results. Methods These techniques are fundamentally based on extracting appropriate features of nonlinear dynamical behavior of dynamic systems. In particular, this paper provides an overview of a technique we have developed called Phase Space Topology (PST), which has so far displayed remarkable effectiveness in unearthing faults in machinery. Applications to bearing, gear and crack diagnostics are briefly discussed.


10.12737/3394 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 13-28
Author(s):  
Поскина ◽  
T. Poskina ◽  
Филатова ◽  
D. Filatova ◽  
Филатов ◽  
...  

. All the H. Haken’s postulates (1970-2013) emphasize deterministic approach and level a value of trajectory of behavior of biological dynamic system in phase space of states. The significance of the latter theory is hard to overestimate, because according to phase space of states the new identification theory is being created and behavioral descriptions of biological dynamic systems are given. This new theory is based on measures of biological dynamic system parameters in phase space of states and does not need any concrete equations, it can be based on detection of quasi-attractors’ parameters of biological dynamic system behavior in phase space of states and characters are quasi-attractor parameters.


2002 ◽  
Vol 12 (04) ◽  
pp. 819-826 ◽  
Author(s):  
S. N. VLADIMIROV ◽  
V. V. NEGRUL

Features of transition from regular types of oscillations to chaos in dynamic systems with finite and infinite dimensionality of phase space have been discussed. It has been found that for some types of nonlinearity, transition to the chaotic motion in these systems occurs according to the identical autoparametric scenario. The sequence of bifurcation phenomena looks as follows: equilibrium state ⇒ limit cycle ⇒ semitorus ⇒ strange attractor. On the basis of the results of numerical simulation a conclusion was made about the typical nature of such a scenario. The results of numerical calculations are confirmed by results of physical experiments carried out on the base of radiophysical self-oscillatory systems.


1995 ◽  
Vol 05 (04) ◽  
pp. 1255-1260 ◽  
Author(s):  
E. ATLEE JACKSON

Jackson and Grosu [1995a] have recently proved that a new OPCL control method, involving both closed and open loop components, always has a basin of entrainment to any smooth goal dynamics, g(t) ⊂ Rn, for any dynamic system (Lipschitz flow), dx/dt = F (x, t), x ⊂ Rn. Moreover, they showed that the basins of entrainment can be made the entire phase space ("global") for many standard dynamic systems, and in particular for the Chua system [Chua et al., 1986]. In contrast to entrainment, it has been pointed out [Jackson, 1990] that migration controls, which act only for limited time and produce transfers between attractors of a multiple-attractor system, can be of great importance. The Chua system can possess five attractors, and the present study shows how it is possible to reliably produce migrations between any of these attractors using only five experimentally-obtained data points in the phase space. This migration control does not require any knowledge about the basins of attraction, nor the state of the system when the control is initiated. Moreover, the OPCL method can be used to obtain refined models of the physical system, by applying the general resonance method proposed previously [Chang et al., 1991].


2009 ◽  
Vol 19 (03) ◽  
pp. 785-804 ◽  
Author(s):  
R. THOMAS ◽  
P. NARDONE

This paper deals with dynamic systems described by sets of ordinary differential equations. As described in a previous paper [Thomas & Kaufman, 2005], phase space can be partitioned according to the signs of the eigenvalues of the Jacobian matrix and the slopes of its eigenvectors, using "frontiers" described by simple analytic expressions. In the present paper, we develop this approach with special emphasis on: — a preliminary, qualitative, yet quite efficient, description based simply on the sign patterns of elements of the Jacobian matrix — the identification and characterization of two additional frontiers based on the relative slopes of the eigenvectors (in two dimensions only) — the applicability to systems of higher dimensionalities — programs (in Mathematica) that provide immediately the phase space frontier diagrams from the ODE's for two- (Appendix 2) and n-dimensional systems (Appendix 3) For systems of sufficiently low dimensionality, the resulting diagrams give a global view of the structure of phase space, partitioned into domains each consistent as regards to the nature of any steady state that might be present in that domain. Fortunately, the dimensionality of phase space frontier diagrams depends not on the overall dimensionality of the system but on the number of variables that carry nonlinearity; an n-variable system in which only two variables carry nonlinearity can be described by a two-dimensional diagram.


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