scholarly journals Optimal adaptive control of business planning processes based on network economic and mathematical modeling

2020 ◽  
Author(s):  
A. F. Shorikov ◽  
E. V. Butsenko
Keyword(s):  
Mathematical Modeling ◽  
Adaptive Control ◽  
Business Planning ◽  
Planning Processes

Optimization of adaptive network economic and mathematical modeling of business planning process control

2021 ◽  
Vol 57 (3) ◽  
pp. 110
Author(s):  
Andrey Shorikov
Keyword(s):  
Mathematical Modeling ◽  
Adaptive Control ◽  
Execution Time ◽  
Planning Process ◽  
Numerical Algorithms ◽  
Implementation Process ◽  
New Method ◽  
Function Evaluation ◽  
Business Planning ◽  
Planning Processes

The article is devoted to the application of economic and mathematical models of business planning management based on the use of the feedback principle. As the objective function (evaluation toolkit) of the task, the value of the execution time of the entire business project, which must be minimized, is considered. To solve this problem, it is proposed to form a class of admissible strategies for optimal adaptive control of the implementation process; as well as a specific business project using network economic and mathematical modeling is worked out. Within the limits of these strategies, the method of achieving optimal self-adjusting control of business planning processes is determined, the optimal execution time and the optimal timetable for the implementation of the project are determined. The main feature of the proposed new method is the ability to take into account the real conditions for the implementation works of the concrete project, which makes it possible to timely adjust the process of management of business planning and prevent disruptions in its implementation. This method also serves as the basis for constructing numerical algorithms for the development and creating the automated systems for realization of optimal adaptive control of business planning processes. The results obtained are illustrated on a specific business project for opening a public catering enterprise and show a high degree of efficiency in using the new method.

scholarly journals Intelligent software system for optimizing adaptive control of business planning processes

2020 ◽  
Vol 15 (89) ◽  
pp. 9-28
Author(s):  
Andrey F. Shorikov ◽  
◽  
Elena V. Butsenko ◽  
Keyword(s):  
Mathematical Modeling ◽  
Decision Making ◽  
Adaptive Control ◽  
Business Plan ◽  
Optimal Time ◽  
Software System ◽  
Business Planning ◽  
Intelligent Software ◽  
The Face ◽  
Planning Processes

The article describes the functionality developed by the authors of an intelligent software system for optimizing adaptive control of business planning processes in the face of uncertainty. The results are based on a new method for optimizing adaptive project management using network economic and mathematical modeling. Based on this method, a methodology has been developed for solving the problem of optimizing adaptive control of business planning processes, which in the proposed intelligent software decision support system uses a block containing an adaptive control optimization model. As the objective function (evaluation functional) in the method used, the value of the length of the time period for the execution of the business plan, which needs to be minimized, is considered. The method used allows you to create a class of acceptable strategies for adaptive control of the implementation process for the business plan in question. Within the framework of this class of strategies, an optimal adaptive control strategy for the implementation of business planning processes is formed, the optimal time for its implementation and the optimal schedule for implementing the business plan as a whole, and the corresponding optimal adaptive control strategies are calculated. Application of the proposed new method in an intelligent software system allows for feedback and optimal time for the implementation of the business project as a whole. The developed intelligent system is designed to automate the modeling of business planning processes and optimize adaptive decision-making control during their implementation on the basis of network economic and mathematical modeling, as well as methods and tools for developing intelligent soft systems. The created system takes into account the existing specific technical and economic conditions and information support. The results obtained in this work can serve as the basis for creating intelligent instrumental systems for supporting managerial decision-making in the implementation of business planning processes in the face of information uncertainty and risks.

scholarly journals Adaptive Control of a Nonlinear Convertiplane under Conditions of Uncertainty

2020 ◽  
Vol 24 (3) ◽  
pp. 35-50
Author(s):  
S. F. Yatsun ◽  
O. V. Emelyanova ◽  
Andres Santiago Martinez Leon ◽  
Luis Miguel Mosquera Morocho
Keyword(s):  
Mathematical Modeling ◽  
Adaptive Control ◽  
Control System ◽  
Reference Model ◽  
Visual Contact ◽  
Hardware System ◽  
The Difference ◽  
Chemical Conditions ◽  
And Control ◽  
Physical And Chemical

Purpose of research. The article deals with the problem of monitoring water areas in order to control their physical and chemical conditions using a flying laboratory (FL) which includes an aircraft with attachable water intake equipment and a software and hardware system. A specific feature of the monitoring of surface waters is the unpredictable behavior of air and water, periodic absence of visual contact with the aircraft, the uncertainty of tricopter characteristics. Therefore, the purpose of this article is to study the parameters of the control system (CS) to meet the requirements for the accuracy of aircraft positioning in conditions of uncertainty of external parameters. Methods. Theoretical mechanics and robot mechanics methods were used to solve the set tasks. Methods for mathematical modeling of dynamic systems were used to study the patterns of convertiplane movement. Adaptive control with a reference model were used to plan and control the movement of the aircraft. Results. The use of adaptive FL motion control made it possible to ensure convergence to zero of the tracking errors i.e., the difference between the output signals and the reference model. The proposed control system gives a good result with small disturbing effects. The parameters of the regulator that ensure the quality indicators of the ACS within the specified limits are determined. Conclusion. A mathematical model was developed and mathematical modeling of the convertiplane movement under conditions of uncertainty of external influences was performed. The problem of parameter control of a convertiplane was considered when the control coefficients were available for setting. The developed algorithms in the adaptive control system made it possible to provide faster suppression of external disturbances in comparison with the traditional PID control system for the case of a linear description of the controlled object.

THINKING AND SLACKING OR DOING AND FEELING? GENDER AND THE INTERPLAY OF COGNITION AND AFFECT IN NEW VENTURE PLANNING

2011 ◽  
Vol 16 (02) ◽  
pp. 213-226 ◽  
Author(s):  
CRAIG E. ARMSTRONG
Keyword(s):  
Entrepreneurial Intentions ◽  
New Venture ◽  
Behavior Model ◽  
Business Planning ◽  
Entrepreneurial Opportunity ◽  
Sense Of Ownership ◽  
Entrepreneurial Opportunities ◽  
New Business ◽  
Planning Processes ◽  
The Relationship

Studies of the relationship between gender and entrepreneurship have shown that men are significantly more likely to start a new business than women. Because an individual's entrepreneurial intentions are shaped by the perceived feasibility and desirability of an entrepreneurial opportunity, these results have generally emphasized how men perceive themselves as more capable of pursuing entrepreneurial opportunities than women. In this study, men have a higher level of self-efficacy than do women regarding entrepreneurial abilities. At the same time, the higher levels of involvement in business planning processes caused women to have a higher sense of ownership in the plan than did men. This sense of ownership is positively and significantly related to the perceived likelihood of success of the new venture. The findings of this study suggest women adopt certain roles and affects in the development of entrepreneurial opportunities that provide alternative explanations to the beliefs-attitudes-intentions-behavior model of intentionality. The roles and affects women adopt during new venture planning may give them superior insights into the likelihood of success of the new venture.

scholarly journals ВЫБОР ЧИСЛЕННЫХ МЕТОДОВ ПРИ МОДЕЛИРОВАНИИ ДИНАМИКИ СИСТЕМ

2016 ◽  
Vol 53 (3) ◽  
pp. 98
Author(s):  
Tetiana D. Panchenko ◽  
Iryna A. Tuzova ◽  
Volodymyr V. Chelabchi ◽  
Viktor M. Chelabchi
Keyword(s):  
Mathematical Modeling ◽  
Adaptive Control ◽  
Approximate Solution ◽  
Estimation Error ◽  
Main Tool ◽  
Grid Method ◽  
Adaptive Method ◽  
Original Method ◽  
Dynamic Processes ◽  
Nonlinear Functions

The article deals with the creation of methodical support for mathematical modeling of dynamic processes in elements of the systems and complexes. As mathematical models ordinary differential equations have been used. The coefficients of the equations of the models can be nonlinear functions of the process. The projection-grid method is used as the main tool. It has been described iterative method algorithms taking into account the approximate solution prior to the first iteration and proposed adaptive control computing process. The original method of estimation error in the calculation solutions as well as for a given level of error of the technique solutions purpose adaptive method for solving configuration parameters is offered. A method for setting an adaptive method for solving the settings for a given level of error is given. The proposed method can be used for distributed computing.

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