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Control Systems and Optimization Letters
Published by Peneliti Teknologi Teknik Indonesia
ISSN : -     EISSN : 29856116     DOI : 10.59247/csol
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Control Systems and Optimization Letters is an open-access journal offering authors the opportunity to publish in all fundamental and interdisciplinary areas of control and optimization, rapidly enabling a safe and sustainable interconnected human society. Control Systems and Optimization Letters accept scientifically sound and technically correct papers and provide valuable new knowledge to the mathematics and engineering communities. Theoretical work, experimental work, or case studies are all welcome. The journal also publishes survey papers. However, survey papers will be considered only with prior approval from the editor-in-chief and should provide additional insights into the topic surveyed rather than a mere compilation of known results. Topics on well-studied modern control and optimization methods, such as linear quadratic regulators, are within the scope of the journal. The Control Systems and Optimization Letters focus on control system development and solving problems using optimization algorithms to reach 17 Sustainable Development Goals (SDGs). The scope is linear control, nonlinear control, optimal control, adaptive control, robust control, geometry control, and intelligent control.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 20 Documents
 1   2 
Search results for , issue "Vol 2, No 1 (2024)" : 20 Documents clear
A Review on Nanotechnology and Its Impact with Challenges on Electrical Engineering Khan, Md Yakub Ali; Elme, Nafisa Sultana; Tahrim, H M; Raza, Kala
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.78

Abstract

Nanotechnology has revolutionized the field of electrical engineering, enabling the development of new materials, devices, and systems with unique properties and functionalities. This review article provides an overview of the impact of nanotechnology on electrical engineering, covering various areas such as analogue and digital circuits, power electronics, sensors, and energy harvesting. The article begins by discussing the basics of nanotechnology, Graphene-based Nanotechnology, nanoscience, Nano photonic and its potential impact on electrical engineering. It then focuses on the application of nanotechnology in various fields of electrical engineering, such as the development of high-performance transistors, nanoscale sensors, and efficient energy conversion systems. The article also discusses the challenges associated with the application of nanotechnology in electrical engineering, such as the need for high-precision fabrication   techniques, the   issue   of   reliability   and reproducibility, and the potential health and environmental concerns. Overall, the   review   article   highlights   the   immense   potential   of nanotechnology in electrical engineering and its impact on various fields of research and development. While challenges exist, continued research and development in nanotechnology promise to lead to significant advancements in electrical engineering, enabling the development of more efficient, and sustainable systems and devices.
A Comprehensive Review of Renewable and Sustainable Energy Sources with Solar Photovoltaic Electricity Advancement in Bangladesh Hussain, Md. Naeem; Zaman, Md Rakibur; Halim, Md Abdul; Ali, Md. Sumon; Khan, Md. Yakub Ali
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.59

Abstract

With an emphasis on Bangladesh's accomplishments in solar photovoltaic power production, this extensive study offers a comprehensive review of sustainable and renewable energy sources. Bangladesh, a heavily populated country that depends heavily on energy, has a difficult time satisfying its rising electrical demand while also taking environmental issues into account. The assessment covers a wide range of topics related to renewable energy sources, including solar photovoltaic technology, how it fits into the nation's current energy infrastructure, legislative frameworks, and socioeconomic effects. The report emphasizes how solar photovoltaic power may play a key role in Bangladesh's sustainable energy future by lowering the country's reliance on fossil fuels, lessening the effects of climate change, and promoting economic development via the use of renewable energy sources. This comprehensive review explores the many facets of sustainable and renewable energy sources in further detail, with a particular emphasis on Bangladesh's ever-changing solar photovoltaic power market. The topic of discussion includes developments in solar panel technology, such as increased efficiency, lower costs, and novel ideas. It also looks at how solar energy may be integrated into the current energy system, discussing the benefits and problems related to energy storage and grid modernization. This paper has the potential to improve energy security, the environment, the economy, and the general well-being of the populace, with a focus on solar PV advancement in Bangladesh. It can act as a guide for decision-makers in government, academia, and business to work together to create a more resilient and sustainable energy future for the nation. The research explores how the expansion of the solar business might lead to the creation of jobs, the improvement of skills, and the enhancement of local economies. It also takes into account the advantages for the environment that come from using less fossil fuels, such as lower greenhouse gas emissions and better air quality. This thorough review highlights the importance of Bangladesh's progress toward solar photovoltaic electricity development as a way to guarantee a sustainable and environmentally conscious energy future, lower consumer energy costs, and improve energy security in a country with rising energy consumption and aggressive renewable energy targets.
A Review on Techno-Economic Perspective of a Smart Grid and its Challenges Rana, Md Juel; Tareq, Abdulla al; Hasan, Md Mehedi; Aziz, Tareq; Neidhe, Md Mushfiqur Rahman
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.83

Abstract

This study undertakes a thorough analysis of the techno-economic perspective related to smart grids. It investigates how to improve sustainability and efficiency in power systems by integrating cutting-edge technology. Important elements included in the evaluation include distribution automation, improved metering infrastructure, communication technologies, and the incorporation of renewable energy sources. Examined are the financial effects of implementing smart grids, including cost-benefit analysis, operational effectiveness, and consumer empowerment. The study also lists and analyzes barriers to broad adoption, such as legislative frameworks, cybersecurity threats, and interoperability problems. The study discusses each of these issues in detail, providing insights into the underlying difficulties and possible solutions. It underlines how crucial it is for stakeholders to work together, invest in cutting-edge technology, and change regulations in order to get beyond these challenges and create an energy ecosystem that is more intelligent, effective, and sustainable.
A Review on Attacks against Artificial Intelligence (AI) and Their Defence Image Recognition and Generation Machine Learning, Artificial Intelligence Hossain, Md. Tarek; Afrin, Rumi; Biswas, Mohd. Al- Amin
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.73

Abstract

The main objective this paper is to review the adversarial assaults, data poisoning, model inversion attacks, and other methods that potentially jeopardize the integrity and dependability of AI-based image recognition and generation models. As artificial intelligence (AI) systems become more popular in numerous sectors, their vulnerability to attacks has arisen as a major worry. We focus on attacks especially targeting AI models used in picture identification and creation tasks in our review study. We investigate the wide range of assault strategies, including both traditional and more complex techniques. These attacks take use of flaws in machine learning algorithms, frequently resulting in misclassification, falsified picture production, or unauthorized access to sensitive data. We survey numerous defense strategies developed by scholars and practitioners to overcome these difficulties. Among these defenses are adversarial training, robust feature extraction, input sanitization, and model distillation. We explore the usefulness and limitations of each protection mechanism, highlighting the importance of a comprehensive approach that integrates numerous techniques to improve the resilience of AI models. Furthermore, we investigate the possible impact of these attacks on real-world applications such as driverless vehicles, medical imaging systems, and security monitoring, emphasizing the threats to public safety and privacy. The study also covers the legislative and ethical aspects surrounding AI security, as well as the responsibilities of AI developers in establishing adequate defense measures. This analysis highlights the critical need for continued research and collaboration to develop more secure AI systems that can withstand sophisticated attacks. As AI evolves and integrates into important areas, a concerted effort must be made to strengthen these systems' resilience against hostile threats and assure their responsible deployment for the benefit of society.
Book Review on Antonio Moreno-Munoz; Neomar Giacomini; Energy Smart Appliances: Applications, Methodologies, and Challenges (2023)‏ Mousa, Hossam H. H.; Mahmoud, Karar; Lehtonen, Matti
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.84

Abstract

Recently, the integration of new industrial technologies is significantly increased into the utility grid such as renewable energy sources (RESs), distributed energy resources (DERs), energy source systems (ESSs), electric vehicles (EVs), and multi-carrier energy systems (MESs). So, robust energy management strategies are required to regulate the power-exchange between the generations and end-users for improving the power system's reliability and stability and reducing the energy costs. Thus, the demand-side management (DSM) strategies and demand response (DR) programs are utilized to control the energy smart appliances for residential building which achieving by various strategies, required infrastructure, energy market signals, etc. Several textbooks and articles investigate this important topic. However, the book entitled “Antonio Moreno-Munoz; Neomar Giacomini; Energy Smart Appliances: Applications, Methodologies, and Challenges (2023)”, is the most recent prominent comprehensive reference for DSM strategies in smart grids. Hence, this article proposes a book review and discussion of its most important contributions to DSM strategies by dividing them into four main contributions. Which helps the reader in realizing the recent developments on DSM strategies based on this book’s contents.
Comprehensive Overview of Optimization Techniques in Machine Learning Training Karthick, K.
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.69

Abstract

This article offers a comprehensive overview of optimization techniques employed in training machine learning (ML) models. Machine learning, a subset of artificial intelligence, employs statistical methods to enable systems to learn and improve from experience without explicit programming. The paper delineates the significance of optimization in ML, emphasizing its role in adjusting model parameters to minimize loss functions, thereby ensuring efficient model training and improved generalization. The discussion encompasses various optimization methods, including Gradient Descent Variants, Adaptive Learning Rate Methods, Second-Order Optimization Methods, Regularization Methods, Constraint-based Methods, and Bayesian Optimization. Each section elucidates the principles, applications, and benefits of these techniques, highlighting their relevance in addressing challenges such as overfitting, scalability, and computational efficiency. The article aims to guide researchers, practitioners, and enthusiasts in navigating the complex landscape of optimization techniques tailored for diverse machine learning algorithms and applications.
Microgrid Technologies for Remote Islands of Bangladesh - A Review Dodaev, Zohar Al; Aziz, Tareq; Ali, Md. Sumon; Ibrahim, Saleh
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.86

Abstract

Issues about fuel exhaustion, electrical shortages, and global warming are growing increasingly serious as a result of the global energy crisis. Solar and wind energy, both of which are clean and sustainable, provide solutions to these issues via distributed generators. Microgrids have emerged as a research hotspot as a crucial interface for connecting the power produced by dispersed renewable energy generators to the electrical system. The main objective of this paper is to review the technical aspect of microgrid in remote islands of Bangladesh. Microgrid technologies provide great promise for tackling the particular energy difficulties encountered by Bangladesh's outlying islands. This review explained the application, benefits, and limitations of microgrid solutions in the context of these isolated places in depth. The review draws on a wide range of academic literature and addresses the technical aspects of microgrid architecture and renewable energy source integration. The evaluation looks at how renewable energy sources like hydroelectric systems, wind turbines, and solar photovoltaics (PV) can be integrated. To identify the best combination for producing power, this entails evaluating the resource availability, intermittency, and variability of various renewable sources. Furthermore, the unmet load, electricity in excess and technological future of technical aspect has been discussed in this review. Employment in society, comfortable life and ecosystem of social aspect of microgrid has also been discussed. Risk analysis, sensitivity analysis and scenario analysis have been explained here in this paper. This review provides significant insights for policymakers, academics, and practitioners aiming to deploy efficient and sustainable energy solutions for Bangladesh's remote islands. This review will also assist decision-makers in adopting microgrids for rural electrification and in establishing regulations that are helpful and clear for the operation and integration of microgrids. System effectiveness, energy storage, and grid management breakthroughs may result from research and development of microgrid technology.
An Intensive Analysis of the Energy Management System for Hybrid Electric Vehicles and Electric Drive System Powered by Renewable Energy Sources Hoque, Md Reazul; Zaman, Md Rakibur; Ali, Md Sumon
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.75

Abstract

The Energy Management System (EMS) used in Hybrid Electric Vehicles (HEVs) with an electric drive system powered by renewable energy sources is thoroughly investigated in this study. The study focuses on the crucial elements of encouraging sustainability and maximizing energy efficiency in transportation. The analysis focuses on the EMS's integration with renewable energy sources like solar, wind, biomass and mechanical vibration. This research is thoroughly reviewed by explaining the efficient management of the power flow between the internal combustion engine, electric motor, and renewable energy inputs, advanced control algorithms and optimization strategies. By incorporating solar panels into the design of a vehicle, the demand on the primary power source is decreased and electricity can be produced to fuel auxiliary systems like air conditioning. It is possible to use wind energy to create electricity for the car's auxiliary systems and electronics. Under various driving conditions and operational scenarios, the study assesses how well the suggested EMS performs, taking into account variables like fuel economy, emissions reduction, and overall system reliability. Testing in real-world scenarios confirms the system's efficacy and offers perceptions into its usefulness. The study explores the effects of fluctuating renewable energy availability and suggests adaptable tactics to strengthen the system's resistance to shifting circumstances. The research will pave the way for the creation of reliable EMS solutions for HEVs and provide environmentally friendly and sustainable mobility. In order to promote a more environmentally friendly and economically viable paradigm for hybrid electric vehicles, the study intends to direct future developments in the integration of renewable energy sources into electric drive systems. Enhanced predictive capabilities can make well-informed decisions about power distribution and consumption by assessing real-time data, weather forecasts, traffic patterns, and driver behavior. This can enhance energy management. The goal of the review is to develop and enhance renewable energy-based energy harvesting technology. These technologies' increased weight reduction and increased efficiency will make it easier to integrate them into electric drive systems.
Analysis of Different Control Approaches for a Local Microgrid: A Comparative Study Haque, Abrarul; Kholilullah, Ibrahim; Sharma, Anik; Mohammad, Ashif; Khan, Saidul Islam
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.88

Abstract

An analysis that contrasts various methods for managing a microgrid's operations in a community context is known as comparison research on control strategies for community microgrids. The study's objectives are to evaluate the benefits and drawbacks of various control schemes and to pinpoint the best approach for enhancing the microgrid's performance. Control methods include islanded mode control, hybrid mode control, grid-connected mode control, and advanced control strategies that combine economic dispatch with optimum power flow are usually compared in the research. A comparison is established. Depending on elements including resilience, cost-effectiveness, efficiency, stability and dependability. The comparative study's findings shed light on the optimal control approach for a particular community microgrid taking into account the resources that are available, the local energy consumption, and other variables. This review also emphasizes the advantages of using advanced control systems, these systems maximize energy management, maintain grid stability, and improve overall system performance by controlling the intricate interactions among distributed energy resources (DERs), such as solar photovoltaics, wind turbines, energy storage, and conventional generators. Energy efficiency will be increase in rural locations with high solar radiation and limited wind power by using advanced methods and grid-connected mode management. Demand response reduces dependency on external grids and associated expenses while improving resilience. Customized control strategies are essential for maximizing community microgrid performance. There includes discussion of a number of control systems, including distributed control, grid-forming control, energy management and optimization, frequency and voltage regulation, islanded operation, and demand response.
A Thorough Analysis of the Opportunities and Challenges of Community Microgrid System Based on Renewable Energy in Bangladesh Zaman, Md Rakibur; Sarker, Sudip; Halim, Md Abdul; Ibrahim, Salah; Haque, Abrarul
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.71

Abstract

The main objective of this extensive research is to assess the possible benefits and challenges related to the implementation of renewable energy-powered community microgrid systems in Bangladesh. Within the framework of Bangladesh's energy environment, the study aims to identify interesting possibilities present in such systems. Notable benefits include less reliance on traditional fossil fuels, increased accessibility to energy, and possible socioeconomic advantages for nearby populations. In addition, several issues that can prevent these microgrid systems from being deployed smoothly are carefully examined in this research. For sustained execution, these difficulties require a comprehensive and varied strategy since they involve technical complexities, economic concerns, regulatory obstacles, and social elements. Critical attention is paid to matters including community involvement, financial feasibility, regulatory frameworks, and the erratic nature of renewable energy sources. Furthermore, the research incorporates a comparative evaluation of current international community microgrid initiatives, deriving significant knowledge and lessons that are relevant to Bangladesh's particular circumstances. The study uses a comparative lens to attempt to provide useful and knowledgeable suggestions for stakeholders, energy practitioners, and policymakers who are involved in determining the future course of community microgrid projects in Bangladesh. When it comes to ecology, renewable energy sources like hydroelectric, solar, and wind power are far superior to fossil fuels. They decrease air and water pollution and emit the fewest greenhouse gases possible. Globally, there is an increasing interest in microgrid systems due to the pressing need to combat climate change, increase energy security, foster economic growth, and ensure that everyone has access to clean, dependable electricity. This paper offers a roadmap for the effective integration of community microgrid projects customized to Bangladesh's unique energy landscape, acting as a nuanced guide for strategic development.

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