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

共 12248 条记录，以下是1321-1330 订阅

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Fast Algorithms for Two-Dimensional Discrete Fourier Transform of Vibroacoustic Signals in Solving problems of control and Technical Condition of Machines and Mechanisms

Fast Algorithms for Two-Dimensional Discrete Fourier Transfo...

引用

2022 international conference on Dynamics and Vibroacoustics of Machines, DVM 2022

作者： Alexey, Ponomarev Olga, Ponomareva Natalia, Smirnova Instruments and Methods of Measurements Control Diagnostics Kalashnikov Izhevsk State Technical University Izhevsk Russia Kalashnikov Izhevsk State Technical University Language Training in Professional Sphere Izhevsk Russia Power Systems of Nuclear Power Plants Sevastopol State University Sevastopol Russia

ISBN: (数字)9781665463140

ISBN: (纸本)9781665463140

The aim of the work is to develop fast algorithms for two-dimensional discrete Fourier transform of vibroacoustic signals in solving problems of control and technical condition analysis of machines and mechanisms. The development of science and technology, the improvement of digital information technologies, the expansion of the range of their applications has led to the need to describe the characteristics, properties and states of the studied complex objects of dynamics and vibration diagnostics of machines not by one-dimensional, but by two-dimensional vibroacoustic finite discrete signals (2D VFD signals). The performed systems analysis of the transition from one-dimensional Fourier processing (1D Fourier processing) to two-dimensional digital Fourier processing (2D Fourier processing) of 2D VFD signals showed that such transition is far from trivial. Some important properties of 2D Discrete Fourier Transform (2D DFT) underlying 2D Fourier Processing have no analogues at all in the case of 1D Discrete Fourier Transform (1D DFT) and hence some important properties of 2D DFT cannot be obtained by generalizing the properties of 1D DFT for the two-dimensional case. When passing from 1D to 2D Fourier processing of 2D VFD signals, the computational costs also increase by several orders of magnitude. This poses an important challenge in developing fast procedures for implementing 2D DFT of 2D VFD signals. At the same time, 2D VFD signals have a complex, mixed structure and, as a rule, consist of two parts: the sum of periodic deterministic components (most often with incommensurable spatial frequencies) and the sum of random components. The Fourier processing of such a class of 2D VFD signals also requires the development of methods for increasing the speed of 2D DFT. The paper sets and successfully solves the problems of increasing the speed of methods and algorithms for two-dimensional digital Fourier processing (2D Fourier processing) of 2D VFD signals of complex st

关键词： Discrete Fourier transforms

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Fast Heuristic for Particle Packing Problem 2nd

Fast Heuristic for Particle Packing Problem

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2nd international conference on Smart Technologies in Urban Engineering, STUE 2023

作者： Romanova, Tetyana Stoian, Yuri Chuhai, Andrii Yaskov, Georgiy Melashenko, Oksana Anatolii Pidhornyi Institute of Mechanical Engineering Problems of the National Academy of Sciences of Ukraine 2/10 Pozharskogo Str Kharkiv61046 Ukraine Simon Kuznets Kharkiv National University of Economics 9A Nauky Avenue Kharkiv61166 Ukraine University of Leeds Keyworth Building Maurice LeedsLS2 9JT United Kingdom

ISBN: (纸本)9783031468735

Mixing and blending systems are used to achieve uniformity and consistency in the nano-material for additive manufacturing of 3D parts. The desired properties of nanomaterial depend on carefully control the proportion of different powder fractions in the mixture. Powders of different sizes can decrease the porosity of the powder mixture, which can result in higher strength and better mechanical properties in the final part. An approach for modeling a 3D volume fragment with spherical and cuboidal nanoparticles is proposed, using a dense packing problem. A mathematical model of the problem is provided using quasi-phi-functions for describing non-overlapping constraint. The packing factor of the mixture is calculated. Numerical examples with given proportions of nanoparticles appeared in the mixture are presented. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Porosity

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Dynamic Hysteresis Self-adaptive control of Amplified Piezoelectric Actuators for complex Operating Conditions

Dynamic Hysteresis Self-adaptive Control of Amplified Piezoe...

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2024 international conference on Guidance, Navigation and control

作者： Wu, Xiao Yao, Taike Wang, Xingjian Liu, Di Wang, Shaoping Shang, Yaoxing Tianmushan Lab Hangzhou 310023 Peoples R China Beihang Univ Res Inst Aero Engine Beijing 100191 Peoples R China AECC Aero Engine Control Syst Inst Wuxi 214063 Jiangsu Peoples R China Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China

ISBN: (纸本)9789819622269;9789819622245;9789819622238

Smart materials are now widely used in fields such as aerospace, transportation, medical, and defense. However, their inherent dynamic hysteresis nonlinearity characteristics not only affect system control precision but can also cause system oscillation. This article focuses on piezoelectric actuators, researching the modeling and active disturbance rejection control of dynamic hysteresis nonlinear systems. Initially, a Hammerstein dynamic hysteresis model based on continuous PI was established. Based on the proposed model, a linear known active disturbance rejection control algorithm for piezoelectric actuators was designed. Finally, the model and control algorithm were verified on a constructed piezoelectric actuator prototype and testing system, with the errors analyzed by comparing them against numerical simulation results.

关键词： Dynamic hysteresis nonlinearity Piezoelectric actuator Hammerstein model Active disturbance rejection control

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Distribution of Heterogeneous complex of Resources on a Multiprocessor System

Distribution of Heterogeneous Complex of Resources on a Mult...

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international conference on control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Dmitry Kononov Meran Furugyan Institute of Control Sciences of RAS Russian State University for the Humanities Moscow Russia Federal Research Center "Computer Science and Control" of the Russian Acadeny of Sciences Moscow Russia

The improvement of automated control systems in various fields of human activity is the main direction of the development of Society The problem of planning a set of jobs performed using two types of resources - renewable and non-renewable - is considered. Jobs allow interruptions and are characterized by directive intervals and durations, expressed as functions decreasing for each variable from the amount of non-renewable resources allocated to jobs. Exact and approximate algorithms for constructing an admissible schedule have been developed. A special case is studied when there is one type of non-renewable resource, and the functions of the dependence of the duration on the resource are linear. The algorithms are based on reducing the original problem to a flow problem in a network of a special type.

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Analysis of Methods of Augmentation of Images of the Branding of Cast Billet at A. A. Ugarov Oskol Electrometallurgical Plant

Analysis of Methods of Augmentation of Images of the Brandin...

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international conference on control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Dmitriy Poleshchenko Ivan Zorin Automated and Information Control Systems Department Stary Oskol Technological Institute n.a. A.A. Ugarov (Branch) National University of Science and Technology MISIS Stary Oskol Russia

The paper deals with the procedure of increasing the training sample size using augmentation methods. The paper considers the main methods of image augmentation, selects the most suitable ones for solving the presented class of problems, and approbation of these methods with testing on the deep learning neural network Faster R-CNN. It is shown that the use of augmentation methods to increase the image base allows to raise the quality of training of the neural network by 1%. It is also found that the type of augmentation should correlate with the prevailing type of disturbance affecting the image quality.

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Application of Artificial Intelligence Methods for Generating Mathematical problems in Primary Education: Analysis of Effectiveness and Prospects for Automated Assessment

Application of Artificial Intelligence Methods for Generatin...

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Machine Learning and Natural Language Processing (MLNLP), international conference on

作者： Nazipov Rustam Salavatovich Avksentieva Elena Yurievna Faculty of Software Engineering and Computer System ITMO University Saint Petersburg Russia Faculty of Software Engineering and Computer System ITMO University Saint-Petersburg Russia

ISBN: (数字)9798350354973

ISBN: (纸本)9798350354980

The present study aims to evaluate the effectiveness of using modern neural network models (ChatGPT 4o, Claude 3.5 Sonnet, GigaChat 3.0, YandexGPT 3) for generating mathematical problems for elementary school students. The research conducts a comparative analysis of the quality of generated problems, assesses the possibility of their direct use without expert review, and develops recommendations for automating the quality control process. The methodology includes the generation of various types of mathematical problems, their expert evaluation according to developed criteria, and statistical analysis of the results. The study identifies the strengths and weaknesses of each model, determines the types of problems in which the models demonstrate the best results, and suggests directions for further improvement of AI systems in the educational context.

关键词： Analytical models Statistical analysis Reviews Neural networks Process control Quality control Machine learning Chatbots Mathematical models Context modeling

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Interaction of the Design Parameters of the Glider and the Engine of the UAV

Interaction of the Design Parameters of the Glider and the E...

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IEEE international conference on Actual problems of Unmanned Air Vehicles Developments Proceedings (APUAVD)

作者： Serhii S. Tovkach Aerospace Faculty National Aviation University Kyiv Ukraine

ISBN: (数字)9798331534141

ISBN: (纸本)9798331534158

Currently, the problem of accelerating the design process of aircraft gas turbine engines and their control systems, the «UAV-ENGINE-FUEL” system consists in the use of automated systems of computing performance and complete description. It is an effective tool for selecting design parameters and forming the technical appearance of an aircraft engine with the adaptation to new operating conditions within the framework of research and design bureaus (RDB). When developing engine control systems for a military unmanned aerial vehicle (UAV), the following technologies should be used: digital electronics with full responsibility, which ensures constant operation of means, improvement of stability and controllability; a rational combination of traditional electrical and promising optical linear connections between the actuator control device (ACMM) and the remote actuator control unit (REU) in a harsh electromagnetic environment; a rational combination of hydraulic (ENSA), electric (ENA, EMA) and hybrid (EVNA) drives of the main control surfaces; electromechanical devices (EMA) for episodic workloads. In addition, it is necessary to maintain the characteristics of the engine and UAV in stable and transition modes of operation, to determine methods of controlling operation processes and to implement them in the automatic control system. There is a problem of ensuring the speed of adaptive engine and UAV control, the ability to work in real time, the remoteness of the generation of control signals, the accuracy of maintaining parameters in the modes of operation.

关键词： Actuators Atmospheric modeling Hydrogen Process control Fuel storage Autonomous aerial vehicles Aircraft propulsion Aircraft Engines Turbines

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TD3 compensated control for uncertain AUV trajectory tracking 2

TD3 compensated control for uncertain AUV trajectory trackin...

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2nd international conference on the Frontiers of Intelligent control, Measurement, and Signal systems, FICMSS 2025

作者： Liu, Zhiqun Chen, Chaoyang Huang, Yi Yang, Dan Hunan University of Science and Technology Taoyuan Road Yuhu District Hunan Province Xiangtan City China

This paper investigates the trajectory tracking problem of autonomous underwa-ter vehicles (AUV).In order to solve the problems of underdrive,non-completeness,strong cou-pling and modeling errors with random perturbations that may be encountered by underwater autonomous vehicles,in real operations. The ideal model, i.e.,the nominal model,is firstly es-tablished based on the non-completely underdriven strongly coupled AUV dynamics,and the nominal model control rate is designed based on the backstepping method and Lyapunov *** reinforcement learning techniques are then utilized to deal with modeling errors and stochastic perturbations of the system model in real operations,and a compensation method based on the Twin Delayed Deep Deterministic policy gradient(TD3) is ***,numerical simulation is carried out,and the simulation results show that the control method proposedin this paper effectively reduces the effects of modeling errors and random perturbations,on the accurate trajectory tracking of AUV. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Stochastic control systems

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The Study of the Possibilities of Constructing Cognitive Models of complex systems as a Result of the Analysis of Time Series of a Limited Number of Factors on the Example of Financial Markets 20th

The Study of the Possibilities of Constructing Cognitive Mod...

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20th IFAC conference on Technology, Culture, and international Stability (TECIS)

作者： Chernov, Igor, V Cherenkov, Ivan, V Feyzov, Vadim R. Russian Acad Sci VA Trapeznikov Inst Control Sci Moscow Russia

The complexity of problems related to the formation of cognitive models of complex systems based on methods of econometric analysis of available time series of domain parameters is considered. An approach is proposed to solve the problem of representing a complex system in the form of an understandable and practical model that includes a limited number of factors, but as adequately as possible reflects the dynamic processes occurring in this system. An example of the application of the proposed approach is considered, exploring the possibilities of improving the efficiency of the functioning of financial markets. The vector autoregression model, which is a model of the dynamics of several time series, is chosen as the basis for the formation of the model. Options for improving the model by adding virtual factors and cointegrating relations are proposed, and the results of the study of the developed model are also presented. Copyright (C) 2021 The Authors.

关键词： cognitive modeling financial market economic security complex system forecasting time series

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Combining physics-based and machine learning methods to accelerate innovation in sustainable transportation and beyond: a control perspective

Combining physics-based and machine learning methods to acce...

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American control conference (ACC)

作者： Gabriele Pozzato Simona Onori Energy Science & Engineering Stanford University Stanford CA

Lithium-ion batteries are playing a key role in the sustainable energy transition. To fully exploit the potential of this technology, a variety of modeling, estimation, and prediction problems need to be addressed to enhance its design and optimize its utilization. Batteries are complex electrochemical systems whose behavior drastically changes as a function of aging, temperature, C-rate, and state of charge, posing unique modeling and control research *** this tutorial paper, we provide insights into three battery modeling methodologies, namely first principle, machine learning, and hybrid modeling. Each approach has its own strengths and weaknesses, and by means of three case studies we describe main characteristics and challenges of each of the three methods.

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