A test of synergy in dynamic system control tasks.

2020 ◽  
Author(s):  
Thomas Schultze ◽  
Sylvana Drewes ◽  
Stefan Schulz-Hardt
Keyword(s):  
Dynamic System ◽  
System Control

Leontev Input-Output Balance Model as a Dynamic System Control Problem

2021 ◽  
pp. 66-82
Author(s):  
S.N. Masaev
Keyword(s):  
Dynamic System ◽  
Matrix Representation ◽  
External Environment ◽  
Balance Model ◽  
System Control ◽  
Operational Mode ◽  
Input Output ◽  
System A ◽  
The Matrix ◽  
Research Show

The purpose of the study was to determine the problem of control of a dynamic system of higher dimension. Relying on Leontev input-output balance, we formalized the dynamic system and synthesized its control. Within the research, we developed a mathematical model that combines different working objects that consume and release various resources. The value of the penalty for all nodes and objects is introduced into the matrix representation of the problem, taking into account various options for their interaction, i.e., the observation problem. A matrix representation of the planning task at each working object is formed. For the formed system, a control loop is created; the influencing parameters of the external environment are indicated. We calculated the system operational mode, taking into account the interaction of the nodes of objects with each other when the parameters of the external environment influence them. Findings of research show that in achieving a complex result, the system is inefficient without optimal planning and accounting for the matrix of penalties for the interaction of nodes and objects of the dynamic system with each other. In a specific example, for a dynamic system with a dimension of 4.8 million parameters, we estimated the control taking into account the penalty matrix, which made it possible to increase the inflow of additional resources from the outside by 2.4 times from 130 billion conv. units up to 310 conv. units in 5 years. Taking into account the maximum optimization of control in the nodes, an increase of 3.66 times in the inflow of additional resources was ensured --- from 200.46 to 726.62 billion rubles

Parametric Perturbations and Dynamic System Control

2004 ◽  
Vol 15 (3) ◽  
pp. 257-275
Author(s):  
A. Yu. Loskutov ◽  
A. K. Prokhorov ◽  
S. D. Rybalko ◽  
Yu. S. Fomina
Keyword(s):  
Dynamic System ◽  
System Control

A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience

2018 ◽  
Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang
Keyword(s):  
Dynamic System ◽  
Engineering Design ◽  
Control Strategies ◽  
System Modeling ◽  
Effective Control ◽  
Disruption Management ◽  
System Control ◽  
Dynamic System Modeling ◽  
Failure Restoration ◽  
Different Characteristics

Managing potential disruptive events at the operating phase of an engineered system therefore improving the system’s failure resilience is an importance yet challenging task in engineering design. The resilience of an engineered system can be improved by enhancing the failure restoration capability of the system with appropriate system control strategies. Therefore, control-guided failure restoration is an essential step in engineering design for resilience. Considering different characteristics of disruptive events and their impacts to the performance of a system, effective control strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable guiding principles for selecting effective control strategies thus implementing the control-guided failure restorations. In this paper, a comparison of three commonly used control strategies for dynamic system control is conducted with the focus on the effectiveness of restoring system performance after the system has undergone different major disruptive events. A case study of an electricity transmission system is used to demonstrate the dynamic system modeling and the comparison of three control strategies for disruption management.

Generation of the Dynamic System Control Signal According to Characteristic of the Transient Process

2016 ◽  
Vol 685 ◽  
pp. 967-970
Author(s):  
Anna Ponomareva ◽  
Yuriy Shalaev
Keyword(s):  
Dynamic System ◽  
Transient Process ◽  
Output Signal ◽  
Control Signal ◽  
System Control ◽  
Digital Form ◽  
Basic Principles ◽  
Conversion Formula

This article is devoted to the usage of the method of representing vectors. The paper contains the basic principles of the method. The article includes the algorithm for generation of the dynamic system control signal according to the method of representing vectors. According to the method, the desired output signal is transformed to a vector and all the intermediate operations are carried out in a digital form; after that the control signal is regenerated according to the conversion formula.

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