Systems Theory Research Articles

Kinetic theory of stellar systems: A tutorial

Stellar systems—globular and nuclear star clusters, elliptical and spiral galaxies and their surrounding dark matter haloes, and so on—are ubiquitous characters in the evolutionary tale of our Universe. This tutorial article is an introduction to the collective dynamical evolution of the very large numbers of stars and/or other self-gravitating objects that comprise such systems, i.e., their kinetic theory. We begin by introducing the basic phenomenology of stellar systems, and explaining why and when we must develop a kinetic theory that transcends the traditional two-body relaxation picture of Chandrasekhar. We then study the individual orbits that comprise stellar systems, how those orbits are modified by linear and nonlinear perturbations, how a system responds self-consistently to fluctuations in its own gravitational potential, and how one can predict the long-term evolutionary fate of a stellar system in both quasilinear and nonlinear regimes. Though our treatment is necessarily mathematical, we develop the formalism only to the extent that it facilitates real calculations. Each section is bolstered with intuitive illustrations, and we give many examples throughout the text of the equations being applied to topics of major astrophysical importance, such as radial migration, spiral instabilities, and dynamical friction on galactic bars. Furthermore, in the 1960s and 1970s, the kinetic theory of stellar systems was a fledgling subject which developed in tandem with the kinetic theory of plasmas. However, the two fields have long since diverged as their practitioners have focused on ever more specialized and technical issues. This tendency, coupled with the famous obscurity of astronomical jargon, means that today relatively few plasma physicists are aware that their knowledge is directly applicable in the beautiful arena of galaxy evolution, and relatively few galactic astronomers know of the plasma-theoretic foundations upon which a portion of their subject is built. Yet, once one has become fluent in both Plasmaish and Galacticese, and has a dictionary relating the two, one can pull ideas directly from one field to solve a problem in the other. Therefore, another aim of this tutorial article is to provide our plasma colleagues with a jargon-light understanding of the key properties of stellar systems, to offer them the theoretical minimum necessary to engage with the modern stellar dynamics literature, to point out the many direct analogies between stellar- and plasma-kinetic calculations, and ultimately to convince them that stellar dynamics and plasma kinetics are, in a deep, beautiful and useful sense, the same thing.

Equivalent combined cycle modeling and performance optimization for a three-heat-reservoir thermal Brownian heat transformer with external heat-transfer

Three-heat-reservoir (THR) heat transformers can upgrade temperature gradient of thermal energy, and lots of instructive research has been conducted in the last decades. However, study of THR heat transformer cycle theory in micro systems remains lacking. By employing macro equivalent combined cycle method, this paper builds a finite-time thermodynamic model of THR thermal Brownian heat transformer, which is a combination of a two-reservoir thermal Brownian heat pump driven by a two-reservoir thermal Brownian engine. Expressions of performance parameters are deduced, and operating temperatures and external load ratio are determined by solving heat balance equations. Maximal heating load and corresponding coefficient of performance (COP) are given by modulating external load, heat exchanger inventory allocations and barrier height synchronously, and the optimal thermal conductance allocations and optimal working temperatures are identified. Results indicate that external thermal resistances affect heat flow transmission and the coupling of combined cycle, ultimately shaping the cycle performance. Half of the overall heat exchanger inventory should be arranged in middle heat exchanger under maximal heating load objective. Heating load exhibits an extremum with respect to COP. Equivalent combined cycle modelling is an effective and efficient method for performance optimization of THR thermal Brownian heat transformers with external heat-transfer.

An efficient approach for blood transport in complex interlinked micro-circulatory network

The flow domain of the micro-circulatory network provides additional flow resistance to the blood due to the additional friction forces associated with the fluid interface and the solid–fluid interface. Fahraeus–Lindqvist effect facilitates the blood flow by partitioning it into two layers, plasma and red blood cell, that minimize the flow resistance. In this article, a lumped parameter-based approach is interfaced with the theory of dynamical systems to understand the comprehensive blood flow mechanism in the complex micro-circulatory network in terms of quantified resistance, where the blood obeys non-Newtonian characteristics. The dynamic flow resistance signifies the importance of fluid rheology and its dependence on the network topology. It is observed that hematocrit distribution plays a vital role in flow dynamics and may cause flow instability. The advantage of this model relies on the fact that the equivalent network resistance can act as ubiquitous parameters to understand complex flow dynamics. The results demonstrated that the micro-circulatory network could possibly help to handle the clinical implacability and computational efficiency to further improve the medical diagnostic efficacy.

Examining How Student Identities Interact with an Immersive Field Ecology Course and its Implications for Graduate School Education.

One of the central issues in ecology is the underrepresentation of individuals from diverse backgrounds. This underrepresentation starts at the undergraduate level and continues into graduate programs, contributing to a need for more diversity in the discipline. We hypothesize that the interplay of students' identities and contextual factors influence how students perceive their sense of belonging in a field-based discipline. We present findings from a 2-yr evaluation of a pregraduate school field program, FIRED UP (Field-Intensive Research Emphasizing Diversity UP in the alpine), where students interacted with a curriculum focused on building field skills and cohort bonding. Students provided feedback through surveys and interviews conducted at various phases throughout the program. Using the Phenomenological Variant Ecological Systems Theory, we present our interview results in three cases describing differing student outcomes regarding belonging which allows us to give voice and weight to students with more critical and constructive perspectives. Thus, the results of this study can be used to critically examine field-based educational program design to maximize the ability of programs to respond to diverse student needs. The broader implications of this work address how to approach pregraduate school training and cohort building that supports students marginalized in science, technology, engineering and mathematics (STEM) disciplines as they enter graduate school.

A Study of East Asian Security in Sino-American Strategic Competition

By using the comprehensive framework for security analysis of international system theory and intervening variables of policy-making in international relations, this article studies East Asian security in Sino-American strategic competition. After analyzing the discourses relevant with the US’s cognition of China in United States Innovation and Competition Act of 2021 from domestic, regional, inter-regional, and global levels, this article discovers that in the US’s eyes, China is a strong country and its approaching capability in the international system has already seriously impacted the existing international system and threatened its own hegemony, but China has its own problems domestically and its relations with its neighbors are very tense. Inferring from the US’s logic, it is discovered that the objective and subjective factors function positively and negatively to East Asian security, respectively. This article finally proposes five ways to reduce the risk of wars in East Asia.

Effect Of Tax Incentives On The Performance Of Manufacturing Firms In Nairobi County, Kenya

Over the last few decades, the contributions of the firms on the performance of the largest economies in the world have beamed the searchlight on the uniqueness of the manufacturing firms; and this has succeeded in overruling previously held views that firms were only smaller versions of larger companies. Since the 1960s to date, manufacturing firms have been given due recognitions especially in the developed nations for playing very important roles towards fostering accelerated economic performance, development and stability within several economies. Manufacturing firms in Kenya face challenges with regard to financing, disproportionate regulatory burdens and competition failures compared to large entities. The main objective of this study was to determine the effect of tax incentives on performance of manufacturing firms in Kenya. The specific objectives were to establish the effect of investment allowances, excise duty incentive and customs incentive on performance of manufacturing firms in Kenya. The study was guided by the, Normative Theory, Political System Theory and the resource-based view. This study was focused on the 150 large manufacturing firms in Nairobi County. The study employed explanatory research design. Both descriptive and inferential statistics for the data obtained was analyzed. The descriptive statistics was done using Statistical Package for Social Sciences (SPSS) and was presented by means, standard deviation and frequency tables. A regression model was used to evaluate the relationship between the dependent and independent variables of the study. The regression analysis revealed that investment allowances (B = 0.262, p = 0.000), excise duty incentives (B = 0.311, p = 0.000), and customs incentives (B = 0.089, p = 0.037) all have positive and significant relationships with the performance of manufacturing firms. The study concludes that investment allowances, excise duty incentives, and customs incentives significantly and positively influence the performance of manufacturing firms, highlighting the critical role of fiscal incentives in driving industrial growth and development. The study recommends maintaining and enhancing Investment allowances, Excise Duty Incentives, and Customs Incentives to support manufacturing firms in Nairobi County, Kenya, as these incentives have shown significant positive effects on firm performance. Additionally, policymakers should prioritize clear communication and accessibility of these incentives while tailoring them to address specific industry needs, ensuring that manufacturing firms can readily access and benefit from them, ultimately fostering economic growth and development in the region

Post-Adaptive Reuse Evaluation of Heritage Buildings using Multi-Criteria Decision-Making Techniques

Evaluating the condition of heritage buildings after being used for their new functions is important because eventually, issues start to surface. Most studies conducted about post-adaptive reuse evaluation are either theoretical or incomprehensive. Therefore, the aim of this paper is to develop a multi-disciplinary evaluation framework, which can quantify the linguistic evaluation by experts and building users. This is accomplished by integrating fuzzy logic and grey systems theory with multi-criteria decision-making techniques as well as gathering evaluation criteria from the literature and heritage experts related to architectural, functional, structural, sustainable, and heritage aspects. The proposed methodology is applied to a case study in Egypt, where three heritage buildings reused as banks are prioritized for rehabilitation to extend their service lives. The obtained results reveal that the aesthetic and structural aspects received more attention in the building with the best condition than conducting environmental measures. Additionally, the sensitivity analysis shows that the decision-making problem is more sensitive to the structural condition than the heritage aspect, which has the highest weight. Further, no rank reversal was observed when one of the alternatives was removed, indicating a robust decision-making process. Consequently, the developed evaluation framework can accommodate the conflicting interests of the involved stakeholders, protect the cultural values of these heritage buildings, as well consider the sustainability dimensions which have become more important than ever before. Additionally, it does not require sophisticated skills from the decision-maker and allows modifying the evaluation criteria and their corresponding weights to suit different contexts.

Artificial Intelligence in Engineering Education: A Review of Pedagogical Innovations

This study critically evaluates the integration of artificial intelligence (AI) into engineering education, with a specific focus on its transformative role within the Digital-Intelligent Era. Drawing on General Systems Theory (GST), this research synthesizes insights from 82 empirical studies spanning 2011 to 2024, exploring AI's impact on the evolution of educational frameworks. The study identifies six key application domains of AI within engineering education, including intelligent tutoring systems, adaptive learning platforms, virtual laboratories, and personalized curriculum design. It highlights the synergy between AI and other emerging technologies, such as 5G, Cloud Computing, and Big Data, driving pedagogical innovation and enhancing the learning experience. Additionally, the paper addresses challenges related to the implementation of AI-based educational strategies, including infrastructure limitations, resistance to change, and equity concerns. Finally, it offers strategic solutions to overcome these challenges, fostering a more inclusive and effective educational environment.

Resilience Indicators for Tropical Rainforests in a Dynamic Vegetation Model.

Tropical forests and particularly the Amazon rainforest have been identified as potential tipping elements in the Earth system. According to a dynamical systems theory, a decline in forest resilience preceding a potential shift to a savanna-like biome could manifest as increasing autocorrelation of biomass time series. Recent satellite records indeed exhibit such a trend and also show larger autocorrelation, indicative of reduced resilience, in drier forest regions. However, it is unclear which processes underlie these observational findings and on which scales they operate. Here, we investigate which processes determine tropical forest resilience in the stand-alone, state-of-the-art dynamic global vegetation model LPJmL. We find that autocorrelation is higher in dry climates than wet climates (approx. 0.75 vs. 0.2, for a lag of 10 years), which qualitatively agrees with observations. By constructing a reduced version of LPJmL and by disabling and enabling certain processes in the model, we show that (i) this pattern is associated with population dynamics operating on different time scales in different climates and (ii) that the pattern is sensitive to the allocation of carbon to different pools, especially in years of stress. Both processes are highly uncertain, oversimplified or even lacking in most Earth system models. Our results indicate that the observed spatial variations and trends in vegetation resilience indicators may be explained by local physiological and ecological mechanisms alone, without climate-vegetation feedbacks. In principle, this is consistent with the view that the Amazon rainforest is responding to climate change locally and does not necessarily need to approach one large-scale tipping point, although the latter cannot be ruled out based on our findings.

Women’s Representation in Banyumas Local Politics in the Perspective of David Easton’s Theory of Systems

The issue of women in politics becomes important as Indonesia begins to reform political institutions or political processes due of democracy. The purpose of this study is to find out women’s representation in Banyumas Regency, Central Java, in relation to cultural and Islamic values. Islam and Penginyongan cultural values promote traditional gender roles, which may limit women’s participation in politics. However, these values also promote social harmony, community participation, and religious morality, which may encourage women’s participation. Meanwhile, Indonesia’s political system includes a quota system for women’s political representation to increase the number of women in parliament. Data in this research comes from the number of women represented in political positions and their role in representing women’s interests, the meaning of Islamic values and Banyumas’ Penginyongan cultural values. Methods of data collection use interviews, observation, and documents. Using sociological approach, this study concludes that according to David Easton’s theory of systems, the influence of Islam and Penginyongan cultural values on women’s political representation in Banyumas is complex and shaped by a range of factors that interact with each other. Understanding these dynamics is crucial for developing strategies to promote gender equality and women’s political empowerment in the region.

Complex Dynamics and PID Control Strategies for a Fractional Three-Population Model

In recent decades, there have been many studies on Hopf bifurcation and population stability with time delay. However, the stability and Hopf bifurcation of fractional-order population systems with time delay are lower. In this paper, we discuss the dynamic behavior of a fractional-order three-population model with pregnancy delay using Laplace transform of fractional differential equations, stability and bifurcation theory, and MATLAB software. The specific conditions of local asymptotic stability and Hopf bifurcation for fractional-order time-delay systems are determined. A fractional-order proportional–integral–derivative (PID) controller is applied to the three-population food chain system for the first time. The convergent speed and vibration amplitude of the system can be changed by PID control. For example, after fixing the values of the integral control gain ki and the differential control gain kd, the amplitude of the system decreases and the convergence speed changes as the proportional control gain kp decreases. The effectiveness of the PID control strategy in complex ecosystem is proved. The numerical simulation results are in good agreement with the theoretical analysis. The research in this paper has potential application values concerning the management of complex population systems. The bifurcation theory of fractional-order time-delay systems is also enriched.

THE EFFECT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE AMONG BROADCASTING ORGANIZATION IN UGANDA. A CASE STUDY OF UGANDA BROADCASTING CORPORATION (UBC)

The concept of organizational performance is pertinent to organizations as it gauges how well organization utilizes its human resources to achieve set goals and objectives with a given period of time. UBC is a regulated broadcasting organization that has not been performing in terms of tv and radio ratings as projected. The competitive business environment among broadcasting organizations continues to grow affecting the tv and radio ratings in Uganda. To mitigate these competitive forces, Broadcasting organizations can integrate these HRM practices strategically to enhance their competitive position, differentiation, innovation, resilience, sustainability, and success in the dynamic and competitive media landscape today. Thus, the current research sought to investigate influence of HRM practices on organizational performance of broadcasting organizations in Uganda. Case study of UBC. Specific objectives of research sought to establish effect of Training and development, Recruitment and Selection, employee security and Performance Appraisal on organizational performance of UBC. Research was grounded on the High-Performance Work System (HPWS) and social exchange theory by Homans, Blua and Emerson. The study utilized a descriptive research method. Target population was 70 employees of UBC. Sample of 65 participants was chosen using Krejcie, Robert V, Morgan, Daryle W, (1970) Table of sampling determination. Primary data was gathered using closed-ended questionnaire. Reliability was determined by Cronbachs Alpha coefficient of 0.7 and above was considered adequate. Validity was established by use of content and construct validity. Quantifiable information was evaluated by both descriptive and inferential indicators while qualitative information was examined through content analysis. Outcomes of the research found out that HRM practices absolutely impact organizational performance. Training and development as well as Employee Security were found to be statistically significant while recruitment and selection and performance appraisal were not statistically significant. Budget constraints were established to partly intervene the connection between HRM practices and organizational performance in UBC. In addition, the outcomes also had shown that well-being and job security of employees regulates the connection between HRM practices and organizational performance in UBC. Management of UBC ought to increase application level of HRM practices to enhance their competitive position, differentiation, innovation, resilience, sustainability, and success in the dynamic and competitive media landscape today.

How and when perceived COVID-19 crisis disruption triggers employee work withdrawal behavior: The role of perceived control and trait optimism

While existing research has investigated the negative impact of COVID-19 on employee work-related behaviors, it remains unclear how and when perceived COVID-19 crisis disruption increases employee work withdrawal behavior. Drawing on event system theory, this study aims to explore the relationship between perceived COVID-19 crisis disruption and employee work withdrawal behavior by shedding light on the mediating role of perceived control and the moderating role of trait optimism. An analysis of three waves of survey data involving 313 employees demonstrated that perceived COVID-19 crisis disruption triggered work withdrawal behavior by reducing employees' perceived control. Additionally, trait optimism weakened the mediating effect of perceived control on the association between perceived COVID-19 crisis disruption and work withdrawal behavior. This research contributes to our understanding of the impact of COVID-19 on employee behavior, emphasizes the role of trait optimism in moderating such effects, and provides practical implications for mitigating employee withdrawal behavior during crisis events.

The effects of parental marital quality on preschool children's social-emotional competence: The chain mediating model of parent-child and sibling relationships.

With the swift advancements in China's education system and society, preschool children's social-emotional competence is becoming increasingly important for adapting to complicated situations. While research shows parental marital quality as a key factor, studies on its specific mechanisms within the Chinese context are limited. Grounded in the framework of family systems theory and incorporating perspectives from the spillover hypothesis, emotional security theory, and attachment theory, this research explores how parental marital quality influences preschool children's social-emotional competence, emphasizing the mediating roles of parent-child and sibling relationships in China. This study examined 227 preschool children (124 boys and 103 girls) from two-child families in six kindergartens across China as research participants. Mother reports on the quality of marital, sibling, and parent-child relationships were collected cross-sectionally to assess the direct and indirect effects on children's social-emotional competence using path models. Results show that parental marital quality positively influences preschool children's social-emotional competence. Additionally, parent-child and sibling relationships not only serve as independent mediators but also create a chain mediating effect. This finding emphasizes the importance of parental marital quality in shaping preschool children's social-emotional competence. It underscores the necessity of nurturing healthy parent-child and sibling interactions via family education.

The Hidden Pandemic: School Counselors’ Insights on Post-Pandemic Socialization

Background The role of school counselors has undergone a considerable evolution in response to societal, economic, and cultural shifts, with the aftermath of the COVID-19 pandemic standing as a particularly significant period of change. With students reentering formal school environments after prolonged isolation, disruptions in learning, and potential trauma, the importance of social skill development has become paramount. Objectives This study aimed to explore school counselors’ perceptions and experiences related to students’ social skills after the pandemic. To understand the multifaceted role of school counselors in supporting this development, we drew on Bronfenbrenner’s ecological systems theory, emphasizing the interconnected layers of influence on a child’s development. Research Questions 1. How do school counselors’ experiences in post-pandemic classrooms relate to students’ social development? 2. How do school counselors perceive students’ social needs in post-pandemic classrooms? Methods The study employed a qualitative constructivist grounded theory approach to gather in-depth data. We conducted focus groups with 48 school counselors across the United States, organized into nine groups based on grade levels (elementary, middle, high) and school settings (rural, suburban, urban). Results Two major themes emerged: (a) interpersonal/communication skills and (b) online communication, with school counselors highlighting the need for targeted interventions in both areas. Conclusion The findings underscore the common social challenges faced by school counselors nationwide with K–12 students in post-pandemic classrooms. They emphasize the need for adapting classroom lessons to address students’ evolving social needs. Future research should further explore this topic, particularly in online contexts, and incorporate culturally responsive approaches.

Causes of Vulnerability to Disasters in Public Secondary Schools in Nairobi County, Kenya

In recent years, there has been a noticeable increase in disaster incidents within secondary schools, which significantly disrupts the educational process. These disasters not only result in loss of life and injuries but also lead to damage to school property and extended closures, forcing students to stay away from school for extended recovery periods. Despite the efforts of the Kenyan government and various stakeholders to promote disaster preparedness, schools in Kenya continue to face numerous disasters. Many secondary school students’ encounter daily risks, and often, school authorities, parents and students only take action after a tragedy occurs. This reactive approach hinders effective disaster response and mitigation, highlighting the need for this study. The main objective of this research was to investigate the factors contributing to vulnerability in public secondary schools in Nairobi County, Kenya. The study aimed to assess the level of disaster preparedness in these schools, employing a descriptive research design. The study was based on Modern Disaster Theory and System Theory. The target population consisted of 73 secondary schools, from which 13 schools were randomly selected for the study. A total of 458 respondents participated in the study, which included 6 quality assurance and standards officers from sub-counties, 3 officials from the Kenya Red Cross, 3 from St. John's Ambulance, 3 fire department officials, 1 representative from the department of disaster management, 13 teachers responsible for quality assurance and standards from selected schools, 13 head teachers, 13 members of the board of management, 13 parent association members, 6 station commanding officers, and 384 students. Key informants were selected using purposive sampling, while students were chosen through stratified random sampling. Data were gathered through questionnaires, interviews, focus group discussions, and observation checklists. The data was analyzed using descriptive statistics such as frequency distributions and percentages and presented in figures and tables. Findings indicated a lack of training and inadequate community awareness regarding disaster preparedness and safety standards. The study concluded that schools were generally unprepared for disasters, and many physical infrastructures were deemed unsafe. Recommendations included regular inspections of school facilities, safety training conducted by qualified personnel, and consideration of each school's capacity when establishing disaster preparedness and safety standards.

Swedish Parents’ Descriptions of Giftedness and Experiences of Home–School Collaboration

ABSTRACT There is insufficient Swedish research on giftedness and home-school collaboration and meeting gifted children’s needs in early childhood education. This qualitative study explored these issues by interviewing parents of gifted children. The thematic analysis examined parents’ descriptions of children’s early development, asynchronicity, and differences from their peers. The parents’ stories of their children’s first encounters with the Swedish school system evoked reports of contentment, suffering, and exhaustion. Adopting Bronfenbrenner’s ecological systems theory, the study shows how the parents positioned enabling and limiting factors for their children’s acceptance and further development at different system levels. Positive learning conditions in preschool (unlike primary school), and respectful home–school communication were identified as crucial to gifted children’s development and well-being.

A Conversation Analysis-Complex Dynamics Systems Theory (CA-CDST) Approach for Analyzing Longitudinal Development in L2 Pragmatics

The compatibility of Conversation Analysis (CA) and Complex Dynamics Systems Theory Approach (CDST) in analyzing second language (L2) development has long been discussed (e.g., Larsen-Freeman & Cameron, 2008a). Nevertheless, how CA and CDST are compatible and how the method can be applied to data to analyze L2 development has been rarely demonstrated, with a few exceptions (e.g., Siegel & Seedhouse, 2024). This paper builds upon these prior discussions, explaining the compatibility of CA and CDST and a demonstration of the Conversation Analysis-Complex Dynamics Systems Theory (CA-CDST) approach to holistically analyze L2 pragmatic development. The CA-CDST approach is exemplified through the analysis of the use of code-switching in L2 interaction. The analysis demonstrates that unmarked code-switching in L2 interaction is not an omnipresent interactional phenomenon. Rather, it is learned; it is an interactional resource that is co-constructed through the sequential process of multiple encounters, adaptation, and accommodation to both the interlocutor and the interactional setting. Moreover, the analysis demonstrates the adaptable nature of CA and how the CA-CDST can elucidate the non-linear nature of L2 pragmatic development.

Improved modified gradient-based iterative algorithm and its relaxed version for the complex conjugate and transpose Sylvester matrix equations

Abstract In this article, we present two new algorithms referred to as the improved modified gradient-based iterative (IMGI) algorithm and its relaxed version (IMRGI) for solving the complex conjugate and transpose (CCT) Sylvester matrix equations, which often arise from control theory, system theory, and so forth. Compared with the gradient-based iterative (GI) (A.-G. Wu, L.-L. Lv, and G.-R. Duan, Iterative algorithms for solving a class of complex conjugate and transpose matrix equations, Appl. Math. Comput. 217 (2011), 8343–8353) and the relaxed GI (RGI) (W.-L. Wang, C.-Q. Song, and S.-P. Ji, Iterative solution to a class of complex matrix equations and its application in time-varying linear system, J. Appl. Math. Comput. 67 (2021), 317–341) algorithms, the proposed ones can make full use of the latest information and need less computations, which leads to higher computational efficiency. With the real representation of a complex matrix as a tool, we establish sufficient and necessary conditions for the convergence of the IMGI and the IMRGI algorithms. Finally, some numerical examples are given to illustrate the effectiveness and advantages of the proposed algorithms.

COMPLEX METHODOLOGY OF MANAGING THE DEVELOPMENT OF THE CHARGING STATION NETWORK

The paper examines the problem of managing the operation and development of the electric vehicle charging infrastructure. Enterprises providing electric vehicle charging services together with their operating environment form a complex hierarchical system. The multi-criteria task of adaptive control of such a system must be considered in different aspects depending on the goals of control at different levels of the system hierarchy. The formation of scientifically based typical and promising charging infrastructure solutions requires the complex application of optimization models and algorithms, taking into account the coverage of the territory by the system of charging stations, the scale of the enterprise that provides services to the customers of the system, as well as the interests and needs of all target groups affected by the system. Therefore, the purpose of this study is to form a comprehensive method of system management of the development of charging infrastructure for electric vehicles, which includes the specified models and algorithms. To solve the set goal, a set of target indicators was formed for various variants of the hierarchical structure of the system. The target indicators are based on models of energy efficiency of electric vehicles, models of the theory of mass service systems and models of car service efficiency. A morphological model of the system containing four functional elements was built: enterprise, electric vehicle, transport flow and environment. An algorithm has been developed that implements the method of system management of the charging infrastructure and takes into account the interests of three target groups: customers, entrepreneurs and the social environment. The proposed methodology can be used in the algorithms of smart management systems of the network of charging stations and modules of intelligent transport systems to evaluate the impact of the charging infrastructure on the performance indicators of road transport.