System-dynamic model of power redistribution among several subjects

2021 ◽  
pp. 52-57
Author(s):  
D.S. Zhukov
Keyword(s):  
Decision Making ◽  
Simple Model ◽  
Dynamic Model ◽  
Dynamic Modeling ◽  
Computer Experiments ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Mathematical Apparatus ◽  
Stocks And Flows ◽  
Specialized Program

A simple model simulating the redistribution of decision-making functions between the state, business, bureaucracy and regional elites is presented. The methodological basis of the work is system-dynamic modeling. The model is implemented in the specialized program Powersim Studio 10. A diagram of stocks and flows is considered, all elements of which were compared with certain political science concepts. The mathematical apparatus of the model is described. Some results of computer experiments are presented: these results indicate the operability and interpretability of the model.

scholarly journals SCENARIOS OF TRANSFORMATION OF REGIONAL ELITES IN THE LATE SOVIET AND POST-SOVIET PERIODS: RESULTS OF SYSTEM-DYNAMIC MODELING

2020 ◽  
pp. 96-107
Author(s):  
D.S. Zhukov ◽  
D.G. Seltser ◽  
N.S. Barabash
Keyword(s):  
Dynamic Model ◽  
Dynamic Modeling ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Political Elites ◽  
Software Environment ◽  
Nomenclature System ◽  
Rapid Degradation ◽  
Systemic Problems ◽  
Elite Recruitment

The article presents realistic and alternative (counterfactual) scenarios for the development of regional administrative and political elites in Russia in 1985-2004. The scenarios are built using a system-dynamic model that simulates elite recruitment in the Powersim Studio software environment. The model describes the mechanisms and channels for recruiting managerial personnel, as well as the sociopolitical forces that influenced elite substitution. Experiments with the model allow us to explore different variants of the evolution of elites. The counterfactual scenario proceeds from the hypothetical refusal of M.S. Gorbachev from dismantling the nomenclature system and from eliminating the CPSU’s control over the «placement of personnel». The model demonstrates that in this case, there was no rapid degradation of regional elites (as was the case in the realistic scenario). However, by the beginning of the 2000s, other systemic problems arose due to the gap between the principles of forming the management apparatus and the transforming socio-economic realities.

Toward a circular economy: A system dynamic model of recycling framework for aseptic paper packaging waste in Indonesia

2021 ◽  
Vol 301 ◽  
pp. 126901
Author(s):  
Tsai-Chi Kuo ◽  
Ni-Ying Hsu ◽  
Reza Wattimena ◽  
I-Hsuan Hong ◽  
Chin-Jung Chao ◽  
...  
Keyword(s):  
Dynamic Model ◽  
Circular Economy ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Packaging Waste

Aero-engine dynamic model based on an improved compact propulsion system dynamic model

2021 ◽  
pp. 095965182098408
Author(s):  
Qiangang Zheng ◽  
Yong Wang ◽  
Chongwen Jin ◽  
Haibo Zhang
Keyword(s):  
Dynamic Model ◽  
Propulsion System ◽  
System Dynamic ◽  
Inlet Temperature ◽  
System Dynamic Model ◽  
Component Level ◽  
Engine Model ◽  
Surge Margin ◽  
Aero Engine ◽  
Engine Dynamic

The modern advanced aero-engine control methods are onboard dynamic model–based algorithms. In this article, a novel aero-engine dynamic modeling method based on improved compact propulsion system dynamic model is proposed. The aero-engine model is divided into inlet, core engine, surge margin and nozzle models for establishing sub-model in the compact propulsion system dynamic model. The model of core engine is state variable model. The models of inlet, surge margin and nozzle are nonlinear models which are similar to the component level model. A new scheduling scheme for basepoint control vector, basepoint state vector and basepoint output vector which considers the change of engine total inlet temperature is proposed to improve engine model accuracy especially the steady. The online feedback correction of measurable parameters is adopted to improve the steady and dynamic accuracy of model. The modeling errors of improved compact propulsion system dynamic model remain unchanged when engine total inlet temperature of different conditions are the same or changes small. The model accuracy of compact propulsion system dynamic model, especially the measurable parameters, is improved by online feedback correction. Moreover, the real-time performance of compact propulsion system dynamic model and improved compact propulsion system dynamic model are much better than component level model.

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