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

共 12282 条记录，以下是1481-1490 订阅

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modeling of a hydroelectric unit with a Kaplan turbine 4

Modeling of a hydroelectric unit with a Kaplan turbine

引用

4th international conference on control in Technical systems, CTS 2021

作者： Ivanova, Ksenia A. Karuna, Evgeniy N. Sokolov, Petr V. Automatic Control Systems Department Saint Petersburg Electrotechnical University "LETI" St. Petersburg Russia

ISBN: (纸本)9781665424547

The publication is devoted to the development of a model and research of the hydroelectric unit of a power plant with a Kaplan turbine. Matlab/Simulink environment was used for modeling. The main problems, features and approaches to the modeling of hydraulic units are discussed. The specificity of the proposed model is to take into account the nonlinear characteristics of the system and the influence of a synchronous generator operating on a bus of infinite power. It makes it possible to study the operation of the system in a wide range of modes. Equations and block diagrams of the main subsystems of the hydroelectric unit are given. The issues of adjusting the controllers of the hydraulic unit are considered. The graphs with the research results are presented and analyzed. Conclusions about the effectiveness of the obtained model are made and further ways of research are outlined. © 2021 IEEE.

关键词： Synchronous generators

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Policy Iteration Algorithm for Constrained Cost Optimal control of Discrete-Time Nonlinear System

Policy Iteration Algorithm for Constrained Cost Optimal Cont...

引用

international Joint conference on Neural Networks (IJCNN)

作者： Li, Tao Wei, Qinglai Li, Hongyang Song, Ruizhuo Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing Peoples R China Univ Sci & Technol Beijing Sch Automat Beijing Peoples R China

ISBN: (纸本)9780738133669

In this paper, optimal control problems with constraints on summation of auxiliary utility function are called constrained cost optimal control problems and a constrained cost policy iteration adaptive dynamic programming (ADP) algorithm is developed to solve constrained cost optimal control problems for discrete-time nonlinear systems. A convergence analysis is developed to guarantee that the iterative value functions non-increasingly convergent to the approximate optimal value function. It is also proven that any of the iterative control policy is feasible and can stabilize the nonlinear systems. Finally, a simulation example is given to illustrate the performance of the developed constrained cost policy iteration algorithm.

关键词： Adaptive dynamic programming (ADP) reinforcement learning constrained cost optimal control policy iteration

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Application of Intelligent Technology in Electrical Engineering Automation control 2

Application of Intelligent Technology in Electrical Engineer...

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2021 2nd international conference on Artificial Intelligence and Information systems, ICAIIS 2021

作者： Huiyong, Hu Yellow River Engineering Consulting Co Ltd ZhengzhouHenan China

Aiming at the problems of low control precision and complex control process in electrical engineering automation control, this paper proposes a kind of intelligent electrical engineering automation control technology based on DeviceNet. This paper focuses on the development process, communication protocol and object modeling method of DeviceNet universal I / O interface based on microprocessor. At the same time, this paper designs the application layer software, and gives the detailed hardware circuit and software design process. The experimental results show that the method can reduce the complexity of the control process and improve the control accuracy. © Published under licence by IOP Publishing Ltd.

关键词： Application programs

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Scientific and Technological problems of modeling Jointly Functioning Artificial and Bioenergy Agro-Ecological systems

Scientific and Technological Problems of Modeling Jointly Fu...

引用

IEEE Region 10 international conference TENCON

作者： Viktor Gurieiev Jiang Qin School of Energy Science and Engineering Harbin Institute of Technology China

ISBN: (数字)9798350350821

ISBN: (纸本)9798350350838

We live in a time that is complex and difficult to predict, even for events shortly. Along with the uniform development of modern technologies, wars, and artificial and natural disasters arise sporadically, which contemporary society has not yet learned to cope with effectively. Various world-class programs and projects exist to overcome the consequences of such phenomena, but these efforts are not enough to prevent the conditions for cataclysms. There is a need to consider the construction and development of new technologies as a particular component of a complex equivalent in the form of a system of concepts: “nature - man - society - state.” Considering the above circumstances, solving the problem of building effective bioenergy agricultural production in these conditions is becoming a promising area of scientific research in the coming decades. The efforts of scientists in many countries aim to find optimal solutions to ensure the effective operation of agricultural technologies associated with the production and distribution of energy resources available in the state. The work analyzes some conditions and theoretical prerequisites for creating new generation models using a virtual ecosystem model at the pace of technological energy production and consumption processes in bioenergy ecosystems. The shortcomings of existing approaches and technologies for modeling complex heterogeneous ecosystems are discussed. New innovative technology elements for constructing models and modeling the functioning modes of bioenergy agricultural technologies using artificial intelligence methods are proposed.

关键词： Analytical models Energy resources Biological system modeling Disasters Ecosystems Buildings Production Artificial intelligence IEEE Regions

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Traffic Signal control for An Isolated Intersection Using Reinforcement Learning

Traffic Signal Control for An Isolated Intersection Using Re...

引用

international conference on COMmunication systems and NETworkS (COMSNETS)

作者： Maiti, Nandan Chilukuri, Bhargava Rama IIT Madras Transportat Engn Div Chennai Tamil Nadu India

ISBN: (纸本)9781728191270

Recent advances in reinforcement learning techniques have shown promising results in solving complex control problems with high dimensional state and action spaces. Inspired by the success, we show that two advanced reinforcement learning algorithms, Q-Learning and Q-Learning with function approximation, can predict the traffic signal timing plan for an isolated intersection. To deal with the large state cardinality of the input traffic state, we propose a discrete state representation and a finite set of actions for a sample case. The proposed algorithm helps to converge the reward function, average queue in early episodes. Our methods show promising results for an intersection traffic control simulated using SUMO micro simulator.

关键词： Reinforcement learning Q-learning Function approximation SUMO

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Application of Combined Machine Learning Methods in Metallurgy FOR Analysis, Selection of Materials and Prediction of Properties

Application of Combined Machine Learning Methods in Metallur...

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

作者： Vladislav Yurov Sergei Kuzenkov Igor Tsyganov Department of Physical Metallurgy Lipetsk State Technical University Lipetsk Russian Federation

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

In this article, the authors consider the possibility of using combined machine learning methods in metallurgy for analysis, selection of materials, and prediction of properties. The authors analyze various approaches to using machine learning in modern metallographic analysis, establish empirical dependencies, predict properties, and select materials. We will discuss the problems associated with using these methods, offer possible solutions, and analyze key aspects of their implementation. We will also examine the advantages and disadvantages of machine learning use in metallurgy, as well as discuss prospects for its development. This article is a valuable resource for metallurgists who want to incorporate modern technologies into their research and development.

关键词： Analytical models Automation Process control Machine learning Production Predictive models Data models Metallurgy Research and development Overfitting

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An Efficient Task Scheduling for Security and Stability control System Models on Multi-Core systems

An Efficient Task Scheduling for Security and Stability Cont...

引用

international conference on Dependable systems and Their Applications (DSA)

作者： Zhi Wang Bo Shen College of Computer Northwestern Polytechnical University Xi’an China

ISBN: (数字)9798331532390

ISBN: (纸本)9798331532406

In recent years, the large-scale integration of new energy sources, such as wind and photovoltaic power into power grid, has necessitated higher standards for the safe, stable, and flexible control of power systems. The Security and Stability control System (SSCS) is proposed to monitor the operation of the grid. To address the cost and scale limitations, simulation has been emerging as a crucial method for analyzing safety and stability control systems. However, as the grid’s complexity increases, the precision and computation workload of the SSCS associated to the grid simulation model have significantly grown. Real-time task scheduling in multi-core systems is important for detecting abnormal events of complex stability control simulation models in time. This paper introduces a new scheduling algorithm specifically designed for the simulation model in power system. It also proposes an interference analysis method to address delays caused by contention for shared hardware resources. We conduct extensive experiments to analyze the proposed algorithm. Compared with existing scheduling algorithms, the scheduling algorithm of the paper achieves superior performance and effectiveness.

关键词： Upper bound Scheduling algorithms Computational modeling Stability criteria Interference Power system stability control systems Real-time systems Power grids Security

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Dynamic Event-Triggered H∞ control for Uncertain Stochastic Singular Markov Jump systems with Time-Varying Delays

Dynamic Event-Triggered H∞ Control for Uncertain Stochastic...

引用

complex systems and Intelligent Science (CSIS-IAC), international Annual conference on

作者： Chunling Chang Zihan Yang Shuangyun Xing Department of Science School of Mechanical Engineering Shenyang Jianzhu University Shenyang China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang China School of Mechanical Engineering Shenyang Jianzhu University Shenyang China

This article studies the $H$ ∞ control problems of uncertain stochastic singular Markov jump systems with time-varying delays. By constructing a new Lyapunov functional, using the free weight matrix scheme and linear matrix inequalities technique, the conditions of stochastic admissibility in the mean-square sense for uncertain stochastic singular Markov jump systems with time-varying delays are obtained. The $H$ ∞ controller is designed based on dynamic event-triggered mechanism so that the corresponding closed-loop systems stochastically admissible in the mean-square sense and satisfies the given $H$ ∞ performance index γ. In the end, the usefulness of the intended scheme is described by a numerical example.

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A Comprehensive Study of Artificial Neural Networks in Power System Stability

A Comprehensive Study of Artificial Neural Networks in Power...

引用

IEEE SSD international Multi-conference on systems, Signals and Devices

作者： Shaimaa Shukri Abd. Alhalim Wissem Bahloul Mohamed Chtourou Nabil Derbel Department of Electrical Engineering University of Technology Baghdad Iraq University of Sfax ENIS Laboratory of Control & Energy Management (CEM-Lab) Sfax Tunisia

ISBN: (数字)9798350374131

ISBN: (纸本)9798350374148

The stability of the power system is important for ensuring the power grid's reliable operation. Traditional stability analysis and stabilization methods have limitations in handling the complexity and nonlinearity of modern power systems. The combination of artificial neural network (ANN)based approaches holds particular promise for power system stability and addressing stabilization challenges. This paper aims to investigate the use of neural methods to improve the analysis and stabilization of complex power systems. Research will focus on neural network architectures and algorithms that can accurately predict and ensure the stability of power systems under various operating conditions. By using neural networks, the research aims to overcome the limitations of traditional methods and provide intelligent solutions to ensure the stability and the robustness of power systems in the face of challenges in the ongoing process. This comprehensive review provides in-depth insights into the applications, techniques, and advancements of ANN in power system stability analysis and control. The study includes ANN basic principles and appropriateness to model complex nonlinear relationships in dynamical systems and evaluate them, including feedforward. This study looks into how ANNs can be used to improve system stability and response to disturbances in areas like fault detection, dynamic modeling, control strategies, and stability assessment.

关键词： Regulators Reviews Power system dynamics Artificial neural networks Power system stability Prediction algorithms Stability analysis

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Modulation and control of three-phase multilevel converter for unbalanced bipolar DC microgrids 3

Modulation and control of three-phase multilevel converter f...

引用

3rd IEEE international Power Electronics and Application conference and Exposition, PEAC 2022

作者： Xu, Yiting Jiang, Wei Dong, Hanqing Yangzhou University College of Electrical Energy and Power Engineering Jiangsu China Jiangsu China

ISBN: (数字)9781665491419

ISBN: (纸本)9781665491419

DC microgrids have the advantage of increased reliability and controllability, as well as the absence of synchronisation and the stability problems that come with synchronisation. Bipolar DC microgrids have significant advantages over traditional two-wire microgrid systems in terms of efficiency, safety and transmission capacity, but midpoint potential asymmetry has always been a problem in the operation of bipolar DC microgrids. The three-level rectifier is used to serve the bipolar DC microgrid. The modeling and simulation is carried out by MATLAB/Simulink, based on the dual closed-loop voltage and current control, the output proportional adjustment factor is adjusted to the differential voltage across the capacitors, and then the proportional adjustment factor is injected into the SVPWM algorithm to adjust the operating time of the small vector, which makes the midpoint potential symmetrical and also enables the smooth operation of the bipolar DC microgrid. © 2022 IEEE.

关键词： Vector spaces

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