Entropy-synergistic introduction as comprehensive research basis of complex objects state
The article deals with information support formation problem for comprehensive state assessment definition of research various nature object as a result of establishing compliance with safety requirements. The factors state stabilization analysis methods system and stationary communication of the “e...
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| Cite this: | Entropy-synergistic introduction as comprehensive research basis of complex objects state / T.V. Kozulia, M.M. Kozulia // Problems of atomic science and tecnology. — 2020. — № 5. — С. 82-85. — Бібліогр.: 4 назв. — англ. |
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| author | Kozulia, T.V. Kozulia, M.M. |
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| citation_txt | Entropy-synergistic introduction as comprehensive research basis of complex objects state / T.V. Kozulia, M.M. Kozulia // Problems of atomic science and tecnology. — 2020. — № 5. — С. 82-85. — Бібліогр.: 4 назв. — англ. |
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| description | The article deals with information support formation problem for comprehensive state assessment definition of research various nature object as a result of establishing compliance with safety requirements. The factors state stabilization analysis methods system and stationary communication of the “environment – object” is proposed. On information-entropy changes assessment basis by results of cognitive analysis of graphological models of system objects, cause-effect relationships are established for the in uence manifestation between systems within object boundaries, external environment on object as a whole. Synergetics elements use for the essential mechanisms allocation in organizing order for selective instability and the regulation or arbitrary processes consolidation synchronization probabilistic manifestation in the interaction “environment – object” is proposed.
Розглянута задача формування інформаційної підтримки визначення комплексної оцінки стану об’єкта дослідження різної природи як результат встановлення відповідності вимогам безпеки. Запропонована система методів аналізу факторів стабілізації стану та стаціонарності зв’язку «навколишнє середовище – об’єкт». На основі інформаційно-ентропійного оцінювання змін за результатами когнітивного аналізу графологічних моделей системних об’єктів встановлюються причинно-наслідкові зв’язки прояву впливу між системами в межах об’єкта та впливу зовнішнього середовища на об’єкт в цілому. Запропоновано використання елементів синергетики для виділення суттєвих механізмів організації порядку для вибіркової нестійкости та регулювання чи акріплення довільних процесів імовірнісного прояву синхронізації у взаємодії «навколишнє середовище – об’єкт».
Рассмотрена задача формирования информационной поддержки определения комплексной оценки состояния объекта исследования разной природы как результат установления состояния требованиям безопасности. Предложена система методов анализа факторов стабилизации состояния и стационарности связи «окружающая среда – объект». На основе информационно-энтропийного оценивания изменений по результатам когнитивного анализа графологических моделей системных объектов устанавливаются причинно-следственные связи проявления влияния между системами на границах объекта, и влияния внешней среды на объект в целом. Предложено использование элементов синергетики для выделения существенных механизмов организации порядка для выборочной нестойкости и регулирования или упрочнения произвольных процессов вероятностного проявления синхронизации во взаимодействии «окружающая среда – объект».
|
| first_indexed | 2025-12-07T17:00:29Z |
| format | Article |
| fulltext |
COMPUTING AND MODELLING SYSTEMS
ENTROPY-SYNERGISTIC INTRODUCTION AS
COMPREHENSIVE RESEARCH BASIS OF COMPLEX
OBJECTS STATE
T.V.Kozulia, M.M.Kozulia∗
National Technical University ”Kharkiv Polytechnic Institute”, 61002 Kharkiv, Ukraine
(Received September 14, 2018)
The article deals with information support formation problem for comprehensive state assessment definition of re-
search various nature object as a result of establishing compliance with safety requirements. The factors state
stabilization analysis methods system and stationary communication of the ”environment – object” is proposed.
On information-entropy changes assessment basis by results of cognitive analysis of graphological models of sys-
tem objects, cause-effect relationships are established for the influence manifestation between systems within object
boundaries, external environment on object as a whole. Synergetics elements use for the essential mechanisms alloca-
tion in organizing order for selective instability and the regulation or arbitrary processes consolidation synchronization
probabilistic manifestation in the interaction ”environment – object” is proposed.
PACS: 519.713:631.411.6
1. RELEVANCE OF SUBJECT,
RESEARCH TASK
Within the complex system information-entropy ap-
proach, complex systems evaluation with taking into
account the entropy-synergistic mechanisms of re-
ducing uncertainty, choice multiplicity is carried out
not by the traditional probabilistic method, but is
achieved through targeted programming of future,
predetermined parameters and modes of given sys-
tem functioning. For the main provisions formation
of developed concept, important role is assigned to
modern scientific knowledge in mathematics, physics,
astronomy, information theory, synergetic, and oth-
ers.
In works used to create an entropy-synergistic
methodology for the complex study of complex ob-
jects, noted the necessity to apply mathematical as-
pects of information theory developed by A.M. Kol-
mogorov [1], to substantiate the complex reduction of
uncertainty in the study of complex systems through
the information capacity of various types of mathe-
matical spaces. The task of managing information
processes in this case relates to information interac-
tions (relations) between the components of socio-
economic systems and subsystems, taking into ac-
count the peculiarities of their functioning and de-
velopment.
For solving complex problems various matrixes
of managerial decisions have been developed, which
allow choosing the appropriate variants of system
management according to probable situation changes
with maximization of cooperative structure informa-
tive that is the possibility of implementing systems
interaction in direction of desired effects obtaining –
a positive option, system deviation from equilibrium
– negative one. Estimation of changes and states set
realization is carried out by information-entropy sys-
tem analysis according to R. Hartley measure.
The Hartley measure is an informative level about
system state Sinfsyst , indicating it as the level of com-
pliance with requirements or changes in investigated
object/system, taking into account system basis a
with coding at a certain length d for number of all dif-
ferent combinations not less than N. In this case, the
information-entropy state assessment is a reflection
of states plurality (diversity as complexity and het-
erogeneity, which allows obtaining information about
the reality of events), defined by R. Hartley formula,
according to it pithiness:
Sinfsyst = k · loga N ,
where k – coefficient of proportionality, scaling ac-
cording to the chosen measure of investigated system
base a.
Assessment complexity of complex systems qual-
ity is to establish structural organization conformity
with its stated objectives and conditions flow of nec-
essary processes. Correspondence as an effective eval-
uation of complex system state is established by in-
troducing entropy function of state and changes of
subject, object [2].
Thus, the problem arises of finding an informa-
tional support system for uniquely integrated eval-
uation of different nature research object as a result
of information interaction between different sides and
∗Corresponding author E-mail address: mariya.kozulya7@gmail.com
82 ISSN 1562-6016. PROBLEMS OF ATOMIC SCIENCE AND TECHNOLOGY, 2020, N5(129).
Series: Nuclear Physics Investigations (74), p.82-85.
an adequate reproduction of compliance with security
system requirements.
2. SUGGESTIONS AND RESULTS
DISCUSSION
Functionality is determined by processes flow there-
fore it should be characterized on the basis of special
dynamism function of investigated system, namely
on proposed correspondence entropy function. In sys-
tem analysis of complex objects concept of entropy in
the established order of their formation in the form
of proposed structural matrices allows to establish
system state ”processes-functions”, since entropy in
change meaning, transformation according to systems
thermodynamic theory reveals the measure of energy
dissipation irreversibility.
Change direction in system ”process-function”
leads system object to stability due to synergy and
establishment of certain energy internal environment
level between its systems and stationary (equilib-
rium) with environment. Stability of received system
object structure with considering processes proposed
to evaluate on the basis of entropy-cognitive analy-
sis with of stabilization, stability, management fac-
tors establishment. Developed cognitive map (CM)
allows to reveal casual-effect links of influence mani-
festation within object framework on systems, com-
ponents, etc. [3, 4].
For measurable and non-measurable coordinates
of CM vertices as a state description of ”environment
(E) – system” (taking into account external perturba-
tion, processes in system regarding the synergy of its
stabilization, initial state) according to the entropy
assessment, developed models of interrelated pulsed
processes in this form:
∆S̄input (k + 1) = A∆S̄input(k)+
+D∆S̄output(k),
∆S̄output(k + 1) = C∆S̄output(k)+
+R∆S̄input,
(1)
where ∆S̄input(k) = S̄input(k)− S̄input(k − 1),
∆S̄output(k) = S̄output(k)− S̄output(k − 1) – first dif-
ferences; A,B,C,D,R – weight adjacency matrixes.
In the first equation, model of the impulse pro-
cess (1) has no measurable increments in the system
∆S̄output(k) are defined as limited disturbances for
achievement of correspondence ”E – system”. For
control in model introduced control vector as follows:
∆S̄input (k + 1) = A∆S̄input(k)+
+B∆Ū(k) +D∆S̄output(k),
(2)
where ∆Ū(k) = −K∆S̄input(k) – vector control
of state regulator, which reduces perturbation
∆S̄output(k).
Cognitive matrix construction of interaction be-
tween object systems and self-organizing action pro-
cesses involves the valuation of diverse and different
dimensional information to modeling by the formula:
bij =
0.9 (aij −mini,j aij)
maxi,j aij −min i, jaij
,
i, j =
[
1, 5
1, 15
]
.
(3)
In the course of studies on stability by ini-
tial data of input parameters and obtained impulse
ratings using knowledge-oriented information estab-
lished cause-effect relationships, give complex system
behavior assessment and propose scientifically based
strategy for priority development scenario realization.
Synergetic elements inclusion allows to allocate more
significant mechanisms of order organization for se-
lective instability and the regulation or consolidation
arbitrary processes of probabilistic manifestation of
synchronization in the interaction of ”E – object”
due to synergetic ordering functions use – informa-
tion, entropy, correlation concepts, bifurcation, etc.
(Figure).
3. CONCLUSIONS
The information and methodological complex re-
search in certain sequence of its realization allows to
reveal self-organizing structures and processes (see
Figure). According to the results of such com-
plex assessments obtained self-organizing elements
for achieving the goal (solving problems of stabiliza-
tion, harmonization, obtaining a new quality), which
will ensure:
– effective interaction with environment (ensur-
ing object stability) – analysis methods of topolog-
ical and cognitive models, entropy correspondences
assessment;
– predictability state stability or change – cog-
nitive analysis, comparative identification, manifes-
tation probability assessment of destabilizing uncer-
tainties – entropy-information assessment;
– support of arbitrary stabilization processes ”E –
system” – thermodynamic changes analysis, entropy
processes assessment;
– gaining knowledge about object ”E – system”.
83
Algorithm schema of complex analysis system object state and establishment of regulated acts
(management) for stabilization ”environment – object”
References
1. A.N.Kolmogorov. Teorija informacii i teorija
algoritmov. M.: "Nauka", 1987, 304 p. (in
Russian).
2. Ju.S. Popkov. Koncepcija jentropii v sistemnom
analize. M.: Institut sistemnogo analiza RAN,
2014, 48 p.
3. T.V.Kozulia. Teoretiko-prakticheskie osnovy
metodologii kompleksnoj ocenki jekologichnosti
territorial'nyh i obektovyh sistem: Monogra�ja.
Saarbrüjcken: Palmarium Academic Publishing,
2014, 298 p. (in Russian).
4. T.V.Kozulia, M.A.Belova, M.M.Kozulia,
N.G. Fonta. Informacionnoe obespechenie analiza
bezopasnosti prirodno-tehnogennyh obektov v
kontekste ih vzaimodejstvija s okruzhajushhej
sredoj // International Scienti�c Journal.
Tbilisi, 2016, v.3(56), p.72-81 (in Russian).
84
ÂÍÅÄÐÅÍÈÅ ÝÍÒÐÎÏÈÉÍÎ-ÑÈÍÅÐÃÅÒÈ×ÅÑÊÎÉ ÎÑÍÎÂÛ ÊÎÌÏËÅÊÑÍÎÃÎ
ÈÑÑËÅÄÎÂÀÍÈß ÑÎÑÒÎßÍÈß ÑËÎÆÍÛÕ ÎÁÚÅÊÒÎÂ
Ò.Â.Êîçóëÿ, Ì.Ì.Êîçóëÿ
Ðàññìîòðåíà çàäà÷à ôîðìèðîâàíèÿ èíôîðìàöèîííîé ïîääåðæêè îïðåäåëåíèÿ êîìïëåêñíîé îöåíêè ñî-
ñòîÿíèÿ îáúåêòà èññëåäîâàíèÿ ðàçíîé ïðèðîäû êàê ðåçóëüòàò óñòàíîâëåíèÿ ñîñòîÿíèÿ òðåáîâàíèÿì áåç-
îïàñíîñòè. Ïðåäëîæåíà ñèñòåìà ìåòîäîâ àíàëèçà ôàêòîðîâ ñòàáèëèçàöèè ñîñòîÿíèÿ è ñòàöèîíàðíîñòè
ñâÿçè "îêðóæàþùàÿ ñðåäà � îáúåêò". Íà îñíîâå èíôîðìàöèîííî-ýíòðîïèéíîãî îöåíèâàíèÿ èçìåíåíèé
ïî ðåçóëüòàòàì êîãíèòèâíîãî àíàëèçà ãðàôîëîãè÷åñêèõ ìîäåëåé ñèñòåìíûõ îáúåêòîâ óñòàíàâëèâàþòñÿ
ïðè÷èííî-ñëåäñòâåííûå ñâÿçè ïðîÿâëåíèÿ âëèÿíèÿ ìåæäó ñèñòåìàìè íà ãðàíèöàõ îáúåêòà, è âëèÿíèÿ
âíåøíåé ñðåäû íà îáúåêò â öåëîì. Ïðåäëîæåíî èñïîëüçîâàíèå ýëåìåíòîâ ñèíåðãåòèêè äëÿ âûäåëåíèÿ
ñóùåñòâåííûõ ìåõàíèçìîâ îðãàíèçàöèè ïîðÿäêà äëÿ âûáîðî÷íîé íåñòîéêîñòè è ðåãóëèðîâàíèÿ èëè
óïðî÷íåíèÿ ïðîèçâîëüíûõ ïðîöåññîâ âåðîÿòíîñòíîãî ïðîÿâëåíèÿ ñèíõðîíèçàöèè âî âçàèìîäåéñòâèè
"îêðóæàþùàÿ ñðåäà � îáúåêò".
ÇÀÏÐÎÂÀÄÆÅÍÍß ÅÍÒÐÎÏIÉÍÎ-ÑÈÍÅÐÃIÉÍÎ� ÎÑÍÎÂÈ ÊÎÌÏËÅÊÑÍÎÃÎ
ÄÎÑËIÄÆÅÍÍß ÑÒÀÍÓ ÑÊËÀÄÍÈÕ ÎÁ'�ÊÒIÂ
Ò.Â.Êîçóëÿ, Ì.Ì.Êîçóëÿ
Ðîçãëÿíóòà çàäà÷à ôîðìóâàííÿ iíôîðìàöiéíî¨ ïiäòðèìêè âèçíà÷åííÿ êîìïëåêñíî¨ îöiíêè ñòàíó îá'¹êòà
äîñëiäæåííÿ ðiçíî¨ ïðèðîäè ÿê ðåçóëüòàò âñòàíîâëåííÿ âiäïîâiäíîñòi âèìîãàì áåçïåêè. Çàïðîïîíîâàíà
ñèñòåìà ìåòîäiâ àíàëiçó ôàêòîðiâ ñòàáiëiçàöi¨ ñòàíó òà ñòàöiîíàðíîñòi çâ'ÿçêó "íàâêîëèøí¹ ñåðåäîâèùå
� îá'¹êò". Íà îñíîâi iíôîðìàöiéíî-åíòðîïiéíîãî îöiíþâàííÿ çìií çà ðåçóëüòàòàìè êîãíiòèâíîãî àíàëi-
çó ãðàôîëîãi÷íèõ ìîäåëåé ñèñòåìíèõ îá'¹êòiâ âñòàíîâëþþòüñÿ ïðè÷èííî-íàñëiäêîâi çâ'ÿçêè ïðîÿâó
âïëèâó ìiæ ñèñòåìàìè â ìåæàõ îá'¹êòà òà âïëèâó çîâíiøíüîãî ñåðåäîâèùà íà îá'¹êò â öiëîìó. Çàïðî-
ïîíîâàíî âèêîðèñòàííÿ åëåìåíòiâ ñèíåðãåòèêè äëÿ âèäiëåííÿ ñóòò¹âèõ ìåõàíiçìiâ îðãàíiçàöi¨ ïîðÿäêó
äëÿ âèáiðêîâî¨ íåñòiéêîñòè òà ðåãóëþâàííÿ ÷è çàêðiïëåííÿ äîâiëüíèõ ïðîöåñiâ iìîâiðíiñíîãî ïðîÿâó
ñèíõðîíiçàöi¨ ó âçà¹ìîäi¨ "íàâêîëèøí¹ ñåðåäîâèùå � îá'¹êò".
85
|
| id | nasplib_isofts_kiev_ua-123456789-194571 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 1562-6016 |
| language | English |
| last_indexed | 2025-12-07T17:00:29Z |
| publishDate | 2020 |
| publisher | Національний науковий центр «Харківський фізико-технічний інститут» НАН України |
| record_format | dspace |
| spelling | Kozulia, T.V. Kozulia, M.M. 2023-11-27T14:31:18Z 2023-11-27T14:31:18Z 2020 Entropy-synergistic introduction as comprehensive research basis of complex objects state / T.V. Kozulia, M.M. Kozulia // Problems of atomic science and tecnology. — 2020. — № 5. — С. 82-85. — Бібліогр.: 4 назв. — англ. 1562-6016 PACS: 519.713:631.411.6 https://nasplib.isofts.kiev.ua/handle/123456789/194571 The article deals with information support formation problem for comprehensive state assessment definition of research various nature object as a result of establishing compliance with safety requirements. The factors state stabilization analysis methods system and stationary communication of the “environment – object” is proposed. On information-entropy changes assessment basis by results of cognitive analysis of graphological models of system objects, cause-effect relationships are established for the in uence manifestation between systems within object boundaries, external environment on object as a whole. Synergetics elements use for the essential mechanisms allocation in organizing order for selective instability and the regulation or arbitrary processes consolidation synchronization probabilistic manifestation in the interaction “environment – object” is proposed. Розглянута задача формування інформаційної підтримки визначення комплексної оцінки стану об’єкта дослідження різної природи як результат встановлення відповідності вимогам безпеки. Запропонована система методів аналізу факторів стабілізації стану та стаціонарності зв’язку «навколишнє середовище – об’єкт». На основі інформаційно-ентропійного оцінювання змін за результатами когнітивного аналізу графологічних моделей системних об’єктів встановлюються причинно-наслідкові зв’язки прояву впливу між системами в межах об’єкта та впливу зовнішнього середовища на об’єкт в цілому. Запропоновано використання елементів синергетики для виділення суттєвих механізмів організації порядку для вибіркової нестійкости та регулювання чи акріплення довільних процесів імовірнісного прояву синхронізації у взаємодії «навколишнє середовище – об’єкт». Рассмотрена задача формирования информационной поддержки определения комплексной оценки состояния объекта исследования разной природы как результат установления состояния требованиям безопасности. Предложена система методов анализа факторов стабилизации состояния и стационарности связи «окружающая среда – объект». На основе информационно-энтропийного оценивания изменений по результатам когнитивного анализа графологических моделей системных объектов устанавливаются причинно-следственные связи проявления влияния между системами на границах объекта, и влияния внешней среды на объект в целом. Предложено использование элементов синергетики для выделения существенных механизмов организации порядка для выборочной нестойкости и регулирования или упрочнения произвольных процессов вероятностного проявления синхронизации во взаимодействии «окружающая среда – объект». en Національний науковий центр «Харківський фізико-технічний інститут» НАН України Вопросы атомной науки и техники Computing and modelling systems Entropy-synergistic introduction as comprehensive research basis of complex objects state Запровадження ентропійно-синергійної основи комплексного дослідження стану складних об’єктів Внедрение энтропийно-синергетической основы комплексного исследования состояния сложных объектов Article published earlier |
| spellingShingle | Entropy-synergistic introduction as comprehensive research basis of complex objects state Kozulia, T.V. Kozulia, M.M. Computing and modelling systems |
| title | Entropy-synergistic introduction as comprehensive research basis of complex objects state |
| title_alt | Запровадження ентропійно-синергійної основи комплексного дослідження стану складних об’єктів Внедрение энтропийно-синергетической основы комплексного исследования состояния сложных объектов |
| title_full | Entropy-synergistic introduction as comprehensive research basis of complex objects state |
| title_fullStr | Entropy-synergistic introduction as comprehensive research basis of complex objects state |
| title_full_unstemmed | Entropy-synergistic introduction as comprehensive research basis of complex objects state |
| title_short | Entropy-synergistic introduction as comprehensive research basis of complex objects state |
| title_sort | entropy-synergistic introduction as comprehensive research basis of complex objects state |
| topic | Computing and modelling systems |
| topic_facet | Computing and modelling systems |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/194571 |
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