Principles and Methods of Impulse Processes Control in Cognitive Maps of Complex Systems. Part 1

Zgurowsky, Mikhail Z.; Романенко, В. Д.; Milyavskiy, Yuriy L.

doi:10.1615/jautomatinfscien.v48.i3.40

Cited by 12 publications

(4 citation statements)

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“…Control actions (situation management) are being developed at the stage of developing possible scenarios for the development of the system under the influence of changes in internal and external factors [28][29][30]. To determine the processes of the development of situations in the model, the impulse process model is used [31,32]. Let us present it in the Formula (11):…”

Section: Cognitive Modeling Approachmentioning

confidence: 99%

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Simulation Cognitive Modeling Approach to the Regional Sustainable Complex System Development for Improving Quality of Life

Firsova,

Gorelova,

Makarova

et al. 2023

Mathematics

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This article presents study results of the region’s sustainable development possibility, thus improving the population’s life quality using cognitive simulation methods of complex systems. The main theoretical provisions of cognitive modeling developed and tested earlier in various socioeconomic system modeling are briefly outlined. The cognitive modeling application’s mathematical apparatus and CMCS software No. 2018661506 system were developed using quantitative data from one of Russia’s southern regions (Rostov oblast). The task was to study the region, model, understand, explain, and develop possible situation development scenarios, and foresee this complex system’s possible future outcome. The main statistical socioeconomic indicators of the state region were studied and processed. Data analysis necessary for developing and researching a cognitive model is given. The regional economic mechanism cognitive model is a functional graph consisting of quantitative and qualitative concepts. Between them, relationships are given in the form of functions, which is the novelty of research. The results of several scenarios of impulse modeling are presented, making it possible to predict future desirable and undesirable processes in the system. Scenario analysis was carried out, making it possible to propose a number of recommendations for the region’s sustainable development. A direction for the region’s development of further cognitive research is proposed.

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Section: Cognitive Modeling Approachmentioning

confidence: 99%

“…To determine the resistance to disturbances (the fourth criterion), the well-known Nyquist criterion in control theory [2,6,16,32] was applied to study the stability of a cognitive map. According to this criterion, the maximum root of the characteristic equation of the matrix R G should not exceed 1 in absolute value.…”

Section: Perturbation Robustness Analysismentioning

confidence: 99%

Simulation Cognitive Modeling Approach to the Regional Sustainable Complex System Development for Improving Quality of Life

Firsova,

Gorelova,

Makarova

et al. 2023

Mathematics

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“…Russian researchers use cognitive approach and cognitive mapping application for wide area of complex-structured systems and processes [35][36][37][38][39]. Cognitive modeling is using for decision making in project management, as [40].…”

Section: Literature Reviewmentioning

confidence: 99%

Institutional Management Elaboration through Cognitive Modeling of the Balanced Sustainable Development of Regional Innovation Systems

Firsova

Makarova

Tugusheva

2020

Journal of Open Innovation: Technology, Market, and Complexity

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The main aim of this research was to search for relevant indicators and effective instruments for modeling the impact and institutional management of the regional innovation system for its balanced development. The objective of the study was to justify approaches for institutional management elaboration for balanced sustainable development of regional innovation systems regarding related factors and the needs of the region. The methodology of cognitive modeling and scenario impulse modeling are used for the analysis of the interconnection between the regional innovation system and higher education institutions and developing an instrument to diagnose the problems of no-congruence and improving the institutional management elaboration in the regional innovation policy. The analysis of system indicators of the cognitive map allowed to define the basic patterns in the regional system, determine the most significant factors and relationships for the economic system of the region and visualize them in the form of a cognitive map, identify the influence of the innovation environment elements on the target indicators, quantify its positive and negative impact, forecast and determine the directions of its improvement and enhancing the interaction of regional actors. The results of the study have practical value for use in improving institutional management in planning reforms and transformations of regional innovation systems.

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“…E.g., it is impossible to accurately measure level of a population health, level of democracy in a society, level of corruption and shadow economy, level of political activity etc. To solve this problem, [2] suggests to decompose the initial CM model ( 2…”

Section: Introductionmentioning

confidence: 99%

Combined control of multirate impulse processes in a cognitive map of COVID-19 morbidity

Романенко

Miliavskyi

2022

SRIT

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In this article, a cognitive map (CM) of COVID-19 morbidity in a given region was built. A general linear impulse process (IP) model in the CM was developed and measured, and unmeasured CM node coordinates were defined. The general IP model was decomposed into interrelated subsystems with measurable and unmeasurable node coordinates. For the subsystem with measurable node coordinates, multirate sampling of coordinates was conducted, resulting in the development of discrete dynamics models for quickly and slowly measured node coordinates. External controls were selected in IP models based on the possible variation of resources of node coordinates and CM weighting coefficients. IP control laws based on the variation of CM nodes and weight were designed. As a result, recurrent procedures for control generation in closed-loop control subsystems with multirate sampling were formulated. Experimental research on the control subsystems was carried out. It confirmed high efficiency for decreasing COVID-19 morbidity.

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Principles and Methods of Impulse Processes Control in Cognitive Maps of Complex Systems. Part 1

Cited by 12 publications

References 0 publications

Simulation Cognitive Modeling Approach to the Regional Sustainable Complex System Development for Improving Quality of Life

Simulation Cognitive Modeling Approach to the Regional Sustainable Complex System Development for Improving Quality of Life

Institutional Management Elaboration through Cognitive Modeling of the Balanced Sustainable Development of Regional Innovation Systems

Combined control of multirate impulse processes in a cognitive map of COVID-19 morbidity

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