Sustainable Control of Active Systems: Decentralization and Incentive Compatibility

Еналеев, А.К.; Novikov, Dmitry A.

doi:10.1016/j.ifacol.2021.10.410

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…The organizational behavior control theory, formed on the basis of the theory of active systems, has been developed by such researchers as Dmitriy A. Novikov (Novikov 2013), Vladimir N. Burkov, Mikhail V. Goubko, Nikolay A. Korgin (Burkov et al 2015b), Alexander V. Shchepkin (Burkov et al 2015a), Anver K. Enalaev (Enalaev andNovikov 2021), Mikhail B. Iskakov (Burkov et al 2010), Alexander G. Chhartishvilli (Novikov et al 2018), Vyacheslav V. Kondratev (Burkov et al 2013), Oleg V. Loginovskiy, Alexander V. Hollay, Aleksandr L. Shestakov, Kristina A. Korenaya (Loginovskiy et al 2022), et al The active systems theory has been widely used in many fields, including construction, where the largest number of researches in this field have been published by Yulia G. Zheglova and Boris P. Titarenko (Zheglova and Titarenko 2020), Sergei A. Barkalov and Olga N. Bekirova (Barkalov et al 2021), and many others.…”

Section: Foundation Of Researchmentioning

confidence: 99%

Agent-Based Modeling of Construction Firms’ Organizational Behavior in Public Tenders

Гладких

Alekseev

2023

JRFM

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A key problem of construction firms’ management and economy is organization of effective participation in public tenders. The direct executor, who determines the price of the contract, may be interested in obtaining as many contracts as possible. It means that his strategic behavior in tender may be to undervalue each individual offer. At the same time, such a strategy can be a source of risk of project loss because the actual costs may be lower than the price of the contract won. The management of the construction organization is not interested in this. On the other hand, overpricing strategy may lead to a reduction in the number of contracts won, which may not seem effective either for the head or for the executor of such an organization. The article discusses whether the profits of a construction firm can increase by using a more precise method of calculating the estimated cost. The second question is—which staff of a construction firm will benefit from using such methods? The aim of this work is to test these hypotheses with the instrumentality of agent-based modeling. Profit values of construction firms were obtained by the computer simulation of the construction firms’ strategic behavior in public tenders. Results of 1500 computer experiments are presented as a decision tree. It can be seen that when using a more precise method, construction firms win tenders almost two times less often. However, they incur losses many times less than with an inaccurate method. If a construction firm made a profit from the contracts won, the profit margin was almost always greater when using the more precise method. Moreover, the results of game-theoretic modeling are given. Values of the objective functions of the executor and head of the construction firm were obtained, taking into account the reward for contracts won and penalty for miscalculating the cost of work. It has been proved that using more precise methods for calculating the estimated cost is beneficial to both the head and the executor. It can be concluded that both hypotheses were confirmed and a precise method for calculating the cost increases the efficiency of a construction firm.

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Section: Foundation Of Researchmentioning

confidence: 99%

Agent-Based Modeling of Construction Firms’ Organizational Behavior in Public Tenders

Гладких

Alekseev

2023

JRFM

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“…Unlike the control processes in engineering and technology, these approaches focus on the psychological, legal, and political aspects of a problem. A signifcant contribution to the development of coordination management in man-machine hierarchical systems was made in the series of works by Dmitry Novikov, in particular in [4].…”

Section: State-of-the-artmentioning

confidence: 99%

Decentralized Coordination of Temperature Control in Multiarea Premises

2022

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With local control of a large number of objects that mutually influence each other, the problem of coordinating local control systems to achieve the best overall result arises. If the structure of the system (the number of control objects and the parameters of interaction) can change frequently, then the process of setting up/training a centralized coordinator will take an unacceptably large part of the action time and require a significant amount of resources. In this work, the use of decentralized coordination is proposed to solve the problem. As a basic task for research on decentralized coordination control of objects that mutually influence each other, stabilizing the comfort temperatures was set in multizone rooms using movable heaters. Providing individual thermal comfort is an important problem. In particular, there are many multiarea premises with conflicting requirements for the comfort of habitats. This problem can be solved with the help of movable heaters and air conditioners. However, the presence of heat flows between areas with different specified parameters makes it difficult to adjust them. The work aims to improve the quality of thermal control in multiarea premises with a dynamic structure for the location of movable heaters. To achieve this goal, we proposed the concept of Movable Smart Heaters (MSH). A group of Movable Smart Heaters that could influence each other and exchange information forms a dynamic system with a changing structure since switching on/off or moving one MSH to another area changes the mutual influence and connections in the system. The criteria for control quality are defined and evaluated. The proposed coordination algorithms make it possible to optimize the operating modes of the system automatically when its structure and/or settings are changed. Simulation of the system is performed with the use of a worked-out modelling library in Scilab. The results of comparing the MSH system’s efficiency show an increase in comfort while reducing energy consumption.

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Resource Allocation Mechanisms in the Case of Dependence of the Resource Size on the Amount of Consumer Applications

Бурков

Буркова

Баркалов

et al. 2022

2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

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Sustainable Control of Active Systems: Decentralization and Incentive Compatibility

Cited by 4 publications

References 5 publications

Agent-Based Modeling of Construction Firms’ Organizational Behavior in Public Tenders

Agent-Based Modeling of Construction Firms’ Organizational Behavior in Public Tenders

Decentralized Coordination of Temperature Control in Multiarea Premises

Resource Allocation Mechanisms in the Case of Dependence of the Resource Size on the Amount of Consumer Applications

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