Robustness evaluation of differential spectrum of integration computational algorithms

Ракушев, Михайло; Kovbasiuk, Serhii; Kravchenko, Yurii; Плющ, Олександр

doi:10.1109/infocommst.2017.8246140

Cited by 26 publications

(3 citation statements)

References 3 publications

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“…This parameter corresponds to the cooperative state: (7) Equation ( 6) has a bifurcation point -a bifurcation of the solution at the critical value k 1c =0 of the control parameter k 1 . Further movement of the system will take place on one of two equal-probability branches of steady motion.…”

Section: Research Resultsmentioning

confidence: 99%

“…When k 2 >> | k 1 | there are cooperative processes based on adiabatic approximation 0 y ≈  and are accordingly described by the synergistic equation: shows that the trajectory first goes to (7), and then moves along it to stationary points…”

Section: Statement Of the Main Materialsmentioning

confidence: 99%

“…The growth of content and its diversity, the development of services and the scope of their coverage have led to a paradigm shift in computing -in place of client-server architecture came data centers, clouds, file systems and databases were transformed into storage. In addition, the efficiency of the control system is determined by the level of safety, environmental friendliness, the ability to perform their tasks, tasks and other parameters that are described in [5][6][7]. To ensure efficiency, studies are carried out with various mathematical models and methods [8][9].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Synergetic Approach to the Study of Control Systems

Kravchenko¹,

Leshchenko²,

Trush³

et al. 2020

Scientific Journal of Astana IT University

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The paper considers a new direction of scientific research - "synergetics". The key provisions and its development as a science are considered. The focus is on open feedback systems as objects of research. The properties of these systems - openness, nonlinearity, dissipation and multidimensionality, allow the use of a synergistic approach in the study. Due to new trends in information technology in recent years, interest in the new architecture of Software Defined Networks has grown. A programmable controller is used as a control mechanism for SDN networks. The connection between the logical controller and the physical network is made using the OpenFlow protocol. The graph of the network topology is presented as a set of key parameters that come to the controller. From the set of parameters, the key ones used in the study are selected. The dynamics of the ratio of key parameters under the condition of optimizing the network infrastructure is studied. The dynamics of the network corresponding to the stability condition is investigated by the methods of synergetic control theory. SDN network control is formed by methods based on the principle of self-organization of nonlinear systems. As a result, synergetic control is synthesized to increase the resistance of the control system to destructive influences. Based on the selected dynamic invariant, the possibility of providing the selection of the parameter of the SDN network management system for the transition to a controlled state is shown.

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Section: Research Resultsmentioning

confidence: 99%

Section: Statement Of the Main Materialsmentioning

confidence: 99%