Handling fuzzy systems’ accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods – selected problems

Gorzałczany, Marian B.; Rudziński, Filip

doi:10.1515/bpasts-2015-0090

Cited by 13 publications

(3 citation statements)

References 14 publications

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“…Initial deployments of narrowband radio (NR) have been undertaken at the late 2019, with the focus on the use of the 3GPP version of . For mMTC, NR is accomplished by Narrow Band Internet of ings (NB-IoT) machine-type communications technologies in 3GPP that provide incomparable low-power broad-ranging performances that cover the wide spectrum of data rates and implementation scenarios [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Technical Study on 5G Using Soft Computing Methods

Divakaran¹,

Malipatil²,

Zaid³

et al. 2022

Scientific Programming

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With increasing advancements in the field of telecommunication, the attainment of a higher data transfer rate is essentially a greater need to meet high-performance communication. The exploitation of the fuzzy system in the wireless telecommunication systems, especially in Fifth Generation Mobile Networks (or) 5G networks is a vital paradigm in telecommunication markets. A comprehensive survey is dealt in the paper, where it initially reviews the basic understanding of fuzzy systems over 5G telecommunication. The literature studies are collected from various repositories that include reference materials, Internet, and other books. The collection of articles is based on empirical or evidence-based from various peer-reviewed journals, conference proceedings, dissertations, and theses. Most of the existing soft computing models are streamlined to certain applications of 5G networking. Firstly, it is hence essential to provide the readers to find research gaps and new innovative models on wide varied applications of 5G. Secondly, it deals with the scenarios in which the fuzzy systems are developed under the 5G platform. Thirdly, it discusses the applicability of fuzzy logic systems on various 5G telecommunication applications. Finally, the paper derives the conclusions associated with various studies on the fuzzy systems that have been utilized for the improvement of 5G telecommunication systems.

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Section: Introductionmentioning

confidence: 99%

Technical Study on 5G Using Soft Computing Methods

Divakaran¹,

Malipatil²,

Zaid³

et al. 2022

Scientific Programming

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“…Implementation of multi-objective optimization methods into the design process of the AC-DC converter allows to increase the system's efficiency, reliability and functionality, and can further help to maintain the desired level of cost of the system. This approach is currently developed in many research centers around the world and reported by many authors [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Dedicated system for design, analysis and optimization of AC-DC converters

Piasecki¹,

Szmurło²,

Rąbkowski³

et al. 2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. This paper presents an originally-developed system for design and optimization of AC-DC converters dedicated in particular to operation in distributed generation systems. The proposed procedure is based on a multi-objective discrete optimization and expert knowledge of electrical engineering, especially power electronics. The required accuracy of calculations is obtained by using the database with real components, while the parameters applied in calculations are based on parameters provided by the manufacturer. The paper presents the foundations and basic system properties, the design and optimization process, and selected optimization results, obtained with a fully functional prototype of the design and optimization system (DaOS).Key words: AC-DC converter, multi-objective optimization, design methodology, distributed generation systems. benefit according to the assumed design criteria -the so-called Pareto optimum [4,12]. The developed optimization system, introduced in [13], allows for the analysis of how a change of one or more design variables will affect the system parameters and desired properties. The implementation of the proposed methodology enables this analysis to be performed in an early stage of the design process, giving the engineer a general overview of the available choices and possibilities. The solution introduced in this work is dedicated for a twolevel voltage source converter (VSC) operating as an interface between a grid, and a distributed generation system called the grid-connected converter (GCC) [13,14]. The selected optimization criteria (design objectives) for the GCC are the fundamental properties of this system: volume, efficiency, weight, power quality, and price. The optimization parameters are design variables: grid filter (type of the filter, values of elements, type of materials and elements used), type of power switches, cooling system, switching frequency, control algorithm (relevant in case Dedicated system for design, analysis and optimization of AC-DC converters

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“…The research on the subject is being continued and will be integrated with a multi-objective optimization [17,18] process of the GC, where not only hardware, but also software assumptions have an impact on overall efficiency, reliability, and functionality of the GC. This paper is focused on GC operated as SAPF, and it is organized as follows: an introduction with problem description and basics knowledge about SAPF and its control requirements, a brief overview of literature regarding power quality, FL, the IoT and its multidisciplinary character, the main issues and the thesis of the paper, and the paper contest.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic in decision support system as a simple Human/Internet of Things interface for shunt active power filter

Jasiński

Majtczak

Malinowski

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. This paper introduces a fuzzy logic (FL) based decision support system (DSS) for a three-phase bidirectional AC-DC grid converter, working in a modern grid-like smart grid or smart industry. It is assumed that the appliances connected to that grid interact as in the Internet of Things (IoT) or like in the Internet of Everything (IoE) i.e. with a human being located in the chain of data flow. A power electronics AC-DC converter, operating as a shunt active power filter (SAPF) is selected for the case study. A harmonics reduction algorithm is presented as an implementation sample of the DSS. The operation of the SAPF is described and analysed. Experimental results showing the tuning process and operation of the laboratory model are also presented and discussed. Finally, it is shown that the DSS is an elegant and intuitive interface, which can simplify a human's or machine's decision-making process. Thanks to the DSS, the meaning of transferred data is translated into linguistic variables that can be understood by non-experts. Hence, it is expected that the amount of transferred data in the smart grid and in the IoE would be reduced. But in the same time, the high quality of the controlled process is retained, as shown by the example of a conventional SAPF.

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Handling fuzzy systems’ accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods – selected problems

Cited by 13 publications

References 14 publications

Technical Study on 5G Using Soft Computing Methods

Technical Study on 5G Using Soft Computing Methods

Dedicated system for design, analysis and optimization of AC-DC converters

Fuzzy logic in decision support system as a simple Human/Internet of Things interface for shunt active power filter

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