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检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12149 条记录，以下是271-280 订阅

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Using Fuzzy Regression modeling in Solving Management problems 16th

Using Fuzzy Regression Modeling in Solving Management Proble...

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16th international conference on Application of Fuzzy systems, Soft Computing and Artificial Intelligence Tools, ICAFS 2023

作者： Yusifov, Salahaddin I. Mayilov, Rauf A. Bayramov, Imran Y. Safarov, Rza S. Azerbaijan State Oil and Industry University 20 Azadlig Avenue Baku City Azerbaijan

ISBN: (纸本)9783031762826

In modern times, modeling management in conditions of uncertainty is one of the most urgent issues. The effectiveness of decision-making under uncertainty depends on the ways of describing it. Most econometric and optimization models are more developed in solving economic problems. So both of them and others are also based on deterministic initial data. In them, uncertainty is considered as a random event, and probability-statistical methods are used for its description. It should be noted that many unknown factors exist in most modern decision-making issues during production planning and management in agriculture and industry. Also, it is necessary to use inaccurate, qualitative, or incomplete information. These create certain difficulties. Therefore, it is necessary to use an alternative approach to the probabilistic approach to describe such uncertainties. One of the most effective means of these approaches is to use the fuzzy set theory method. As we know, fuzzy regression modeling is the use of the fuzzy set method in regression analysis. This article discusses the prospects for using fuzzy regression models in production control. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： analysis fuzzy modeling fuzzy regression modeling production regression

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A comprehensive trade study of asset and maintenance management tools for the TMT international Observatory 11

A comprehensive trade study of asset and maintenance managem...

引用

conference on modeling, systems Engineering, and Project Management for Astronomy XI

作者： Fordham, Bart Hardie, Kayla Church, Josh Marchetti, Louis Trancho, Gelys TMT Int Observ 100 West Walnut St Suite 300 Pasadena CA 91124 USA

ISBN: (纸本)9781510675216;9781510675223

controlling work processes and inventories at the Thirty Meter Telescope (TMT) international Observatory (TIO) is an important function due to the interactivity of subsystems and various teams, and to ensure there is minimal impact to nighttime operations due to failures of any kind. In addition, there is precision and conformity required when working with optics and other complex systems at the high altitude of Mauna Kea. Whilst telescopes such as the TIO are complex machines, tools used to control assets and maintenance activities should not be. The purpose of such a tool should be to guarantee successful outcomes via efficient inputs. In this paper we share our method for determining the criteria and tool selection for TIO's management of assets, inventory, and maintenance activities. Our proposed method integrates technical, functional, and organizational elements that factored into the criteria weightings. Technical specifications evaluate compatibility, customization and scalability. Functional criteria assess workflows, scheduling, inventory control, and reporting. Organizational criteria evaluate vendor support, product documentation, and long-term viability. The application of a weighted score system enables quantitative comparison between each possibility(1), ensuring the selected tool meets the needs of TIO, thus maximizing the benefits provided by an effective maintenance management tool.

关键词： CMMS Maintenance

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Method SPH for numerical solution of filtering problems: including capillary forces in fluid flow simulation 12

Method SPH for numerical solution of filtering problems: inc...

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12th international conference on Mathematical modeling in Physical Sciences, IC-MSQUARE 2023

作者： Bashurov, V. Zhigalov, V. Comtrade 360 Belgrade Serbia UNN Nizni Novgorod Russia

This paper explores the theory of filtration within porous media, focusing on multicomponent mixtures' dynamics and their numerical modeling. Key equations governing filtration, including Darcy's law and mass conservation, are introduced. The concept of smoothed particle hydrodynamics (SPH) is presented as a powerful numerical technique for approximating these equations. SPH's integral interpolation approach accommodates complex fluid-solid interactions and is applied to one-dimensional and two-dimensional test cases. Results demonstrate SPH's effectiveness in capturing intricate dynamics and aligning with traditional methodologies. This study contributes to understanding fluid dynamics in porous media and underscores SPH's potential for accurate simulations in diverse applications, from hydrocarbon reservoirs to environmental systems. The first section in your paper. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Porous materials

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Model of Direct and Inverse problems of Synthesis of Technological Equipment Layouts 5

Model of Direct and Inverse Problems of Synthesis of Technol...

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5th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Iskhakov, Z.F. Lekhmus, M.Y. Financial University under the Government of the Russian Federation Ufa Branch Ufa Russia Financial University under the Government of the Russian Federation St. Petersburg Branch St. Petersburg Russia

ISBN: (纸本)9798350309126

The article discusses the issues and outlines ways to address them related to the early stage of any design, the selection of the layout of the final product. When selecting the layout of a future machine, the designer often relies on previous experience. The designer may take as a basis the layout of a similar machine. The specifics and possibilities of production, company traditions, the need to select a layout for an original machine can all make the designer's task quite complex. It should be taken into account that the earlier the stage of the product design life cycle, the more fatal are the consequences of making a mistake and the more difficult it is to correct it afterwards. It is assumed that there already exists a system of automated synthesis of technological equipment layouts, which automatically generates formalized codes of future layouts. There, the code feasibility parameters and code compliance with real layouts are taken into account. In order to reduce the volume of obtained layout solutions and to reduce the array of codes corresponding to them, filters are built into the synthesis system, realized on the basis of the knowledge base about the design features of the technological process being implemented. The rules given in the article are the basis of the knowledge base that allows organizing automatic screening of unfavorable variants. © 2023 IEEE.

关键词： Product design

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Vision-Based modeling and control of Quadcopter for Uncooperative Ground Mobile Target Tracking 5th

Vision-Based Modeling and Control of Quadcopter for Uncooper...

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5th international conference on Electrical Engineering and control Applications, ICEECA 2022

作者： Bouzerzour, Hamza Allam, Ahmed Guiatni, Mohamed Complex Systems Control and Simulators Laboratory Ecole Militaire Polytechnique BP 17 Bordj El Bahri Algiers16111 Algeria Control Process Laboratory Ecole Nationale Plytechnique Algiers Algeria

ISBN: (纸本)9789819700448

This paper proposes a novel approach based vision for modeling and controlling a Quadcopter UAV (QUAV) for uncooperative ground mobile target tracking applications. The proposed method is an Image-Based Visual Servoing (IBVS) approach using the dynamics of the target’s image features, calculated in a virtual camera as well as QUAV’s cinematic and dynamic model elaborated with respect to the virtual camera frame and the image’s features moments. A control scheme based on the Sliding Mode controller (SMC) is used to ensure the QUAV control in the presence of external disturbances and measurement uncertainties. Simulation results are presented to assess the proposed strategy under realistic conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Target tracking

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Aggregated Model of Load, Grid Forming, and Grid Following Inverters for an Unbalanced System 11

Aggregated Model of Load, Grid Forming, and Grid Following I...

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11th international conference on Power and Energy systems Engineering, CPESE 2024

作者： Wendha, Brigitta Lee, Yongseok Jung, Jaesung Ajou University Department of Energy Systems Research Suwon Korea Republic of

ISBN: (纸本)9798350377439

The distribution system is known for its inherent unbalanced nature and complex modelling. To decrease complexity when modeling the system to evaluate the dynamic analysis, the aggregated model is developed for load, grid following control inverter-based resource (IBR), and grid forming control IBR. Furthermore, to consider the imbalance of the system, the approximation methodology to estimate the parameters of each phase is proposed for each aggregated model. The proposed approach significantly contributes to the field by offering a simplified yet accurate method for dynamic analysis of unbalanced distribution systems. Validation of the approach is performed through study cases on the IEEE 13-bus system and the known parameters, limited to only the voltage and current of each phase at the connection point and each component's total power. Furthermore, the dynamic response of the aggregated model is compared to the actual system of IEEE 13 -bus. The results indicate that the unparameterized aggregated model exhibits significant error, while the response of the parameterized aggregated model is similar to that of the actual system, validating the effectiveness of the proposed parameter estimation methodology. © 2024 IEEE.

关键词： aggregated model inverter-based grid following control inverter-based grid forming control unbalanced systems ZIP load

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A Review of Evolutionary Optimization Methods for Information Visualization and Feature Space Exploration 18

A Review of Evolutionary Optimization Methods for Informatio...

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18th international conference on Innovations in Intelligent systems and Applications (INISTA)

作者： Gavrilescu, Marius Leon, Florin Ferariu, Lavinia-Eugenia Butincu, Cristian-Nicolae Gheorghe Asachi Tech Univ Iasi Fac Automat Control & Comp Engn Iasi Romania

ISBN: (纸本)9798350368130

Evolutionary optimization plays an important role in the representation of information from data sets originating from various technical fields and natural sciences, as it helps to explore parameter spaces for meaningful representations. Quality-Diversity (QD) methods, notably MAP-Elites variants, prove effective in diverse fields, emphasizing their ability to provide sets of high-performing solutions. This review discusses challenges in single- and multi-objective optimization, with applications in multiple directions such as image processing, visualization, and medical imaging. It also reviews QD algorithms and highlights advancements in algorithmic adaptations, user-driven optimization and the potential to explore complex feature spaces. The presented works contribute to understanding and applying evolutionary optimization for solving visualization and feature space exploration problems in various domains.

关键词： evolutionary optimization quality-diversity MAP-Elites information visualization feature space

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5th international Russian Automation conference, RusAutoCon 2023

5th International Russian Automation Conference, RusAutoCon ...

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5th international Russian Automation conference, RusAutoCon 2023

ISBN: (纸本)9783031511264

The proceedings contain 46 papers. The special focus in this conference is on Russian Automation. The topics include: Using the Long Functional Series in Technical systems and Increasing Their Efficiency Due to Recurrent Formulae;models of the Early Stage in Digital Design;features of the Decomposition of Nonlinear Processes and systems Within the Framework of the System Approach;nonlinear control of Thermoelectric Peltier Moduls for Climate Management systems in Agro-Industrial complex;method of Formation of an Artificial Multiphase Field of a Specified Structure During Phase-Metric Technological control;modeling of Spectral Characteristics of the Links of Phase Distortions Autocompensator of Direct Digital Synthesizers;method for Taking into Account Measurement Errors When Sorting Elements into Selective Groups;deformable Linear Objects modeling and Manipulation: An Energy-Based Approach;combining Disparate Units of a Quasi-Intelligent Decoder;search for Structurally Similar Projects of Software systems;The Concept of a Software Module for Automating the Route Design of Mechanical Processing Machine Parts for Use as Part of a Machine-Building CAD System;PID Based Path Follower for the MiddleAUV on the Test Polygon;a Robust control Algorithm for the Hybrid Power Filter Operating Under Real Grid Conditions;Using PM4Py for Process Mining in an Educational Organization;management of Student Physical Training for Professional Activity as Part of Engineering Education in Digital Era;Approach to Developing Custom Screens for Monitoring the Status of CNC Machines Using Web Components;development of a Decision Support System for Helpdesk-Service Based on the Processor for Natural Language Text Classification.

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Supervised Artificial Neural Networks by Field-Oriented control applied to PMSG-based Variable-Speed Wind Turbine 12

Supervised Artificial Neural Networks by Field-Oriented Cont...

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12th international conference on Smart Grid (ICSmartGrid)

作者： Aoumri, Mohammed Harrouz, Abdelkader Yaichi, Ibrahim Colak, Ilhami Kayisli, Korhan Dumbrava, Virgil Univ Ahmed Draia Dept Elect Engn Adrar Algeria Univ Ahmed Draia Dept Hydrocarbon & Renewable Energy Adrar Algeria Istinye Univ Fac Engn & Nat Sci Dept Elect & Elect Engn Istanbul Turkiye Gazi Univ Dept Elect & Elect Engn Ankara Turkiye Univ Politehn Bucuresti Dept Elect Power Syst Bucharest Romania

ISBN: (纸本)9798350361612;9798350361629

Artificial intelligence techniques (AI), especially Artificial Neural Networks (ANN), have a significant impact on the control of electrical machines and power systems. Neural networks have created new and advanced boundaries in controlling power systems and electric generators, and they are already a complex, multidisciplinary technology undergoing dynamic evolution in recent years. This paper presents the application of a control methodology to a permanent magnet synchronous generator (PMSG) in the context of a variable speed wind turbine system. The study particularly focused on exploring the performance and optimization of the wind turbine system through the use of this control approach to extract the maximum amount of variable speed wind energy and address associated errors and problems, the control being studied and applied is Supervised ANN by FOC. The discussion explored the various components and performance of a wind system (WS) through simulations conducted in MATLAB/Simulink.

关键词： Artificial Neural Networks (ANN) Field-Oriented control (FOC) Permanent Magnet Synchronous Generators (PMSG) Wind system

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Proceedings of the 9th international conference on complexity, Future Information systems and Risk, complexIS 2024

Proceedings of the 9th International Conference on Complexit...

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9th international conference on complexity, Future Information systems and Risk, complexIS 2024

ISBN: (纸本)9789897586989

The proceedings contain 13 papers. The topics discussed include: the robustness of a twisted prisoner’s dilemma for incorporating memory and unlikeliness of occurrence;FaRS: a high-performance automorphism-aware algorithm for graph similarity matching;evaluating the multifactorial effects on SARS-CoV-2 spread in Tokyo metropolitan area with an agent-based model;univariate GARCH model for futures option pricing: application to silver mini futures in Indian commodity market;modeling networks of interdependent infrastructure in complex urban environments using open-data;outage risks: it is not the malicious attacks that take down your service;algebraic structure of recursively constructed references and its application to knowledge base;painter profile clustering using NLP features;and navigating social networks: a hypergraph approach to influence optimization.

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