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

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Analysis of the problems of Visual modeling of Internet of Things Components

Analysis of the Problems of Visual Modeling of Internet of T...

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2025 international Russian Smart Industry conference, SmartIndustryCon 2025

作者： Evseeva, Anna R. Safonov, Boris E. Vlasov, Andrey I. Bauman Moscow State Technical University Department of Design and Technology of Electronic Devices Moscow Russia

ISBN: (纸本)9798331511241

The authors study the issues of using visual tools for the system design of complex cyber-physical system components. Based on the analysis of available design tools, effective methods of modeling the components of the Internet of Things have been identified. The main focus is made on the visual analysis of not only design and engineering solutions but also on the resolving of social and manufacturing issues in the development and production of cyber-physical system components. The study examines methods that can significantly improve the efficiency of complex system design. The authors demonstrate the feasibility of integrating visual system design tools with the overall project manufacturing chain, as well as the need for overall synchronization of project procedures during all stages of a systems project. © 2025 IEEE.

关键词： Large scale systems

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Optic Flow Approximated by a Homogeneous, Three-Dimensional Point Renewal Process 6th

Optic Flow Approximated by a Homogeneous, Three-Dimensional ...

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6th international conference on Software Testing, Machine Learning and complex Process Analysis, TMPA 2021

作者： Dubinin, D.V. Kochegurov, A.I. Kochegurova, E.A. Geringer, V.E. Tomsk State University of Control Systems and Radioelectronics Prospect Lenina 40 Tomsk634050 Russia National Research Tomsk Polytechnic University Lenin Avenue 30 Tomsk634050 Russia Ravensburg Fallenbrunnen 2 Friedrichshafen88045 Germany

ISBN: (纸本)9783031504228

The paper describes a mechanism for modeling an optical flow as a random vector field – closed areas on the image plane with certain brightness and dynamics of changes in the vector field. The optical flow is formed by a homogeneous, three-dimensional point renewal process. The characteristics of the vector field on the image plane of the resulting optical flow are interconnected by the Palm’s formulas. The type of the constituent elements of the vector field (the alphabet, which determines the morphology of the field on the image plane) is chosen randomly. The proposed approach will produce various types of interconnected digital sequences of images with horizontal, vertical and diagonal elements;create the prerequisites for efficient and flexible motion analysis on digital video sequences;make it possible to use the probabilistic factor in researching image processing algorithms and comparing the algorithms based on a detailed factor analysis. © 2024, Springer Nature Switzerland AG.

关键词： Optical flows

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Enhanced parameter optimization of PID controller for single area power system using hybrid ALO-GBO algorithm

Enhanced parameter optimization of PID controller for single...

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international conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE)

作者： Tuhin Das Namita Boruah Sarmila Patra Ajaan Anubhav Borah Department of Electrical Engineering Assam Engineering College Guwahati Assam

ISBN: (数字)9798350379297

ISBN: (纸本)9798350379303

This paper focuses on applying two evolutionary algorithms, Ant Lion Optimization (ALO) and Gradient-based Optimization (GBO), to enhance load frequency control (LFC) in a power system. LFC is crucial for stable power operation, but traditional methods struggle with system complexity and uncertainties. ALO mimics lion hunting behavior, while GBO uses gradients for optimization. Both are known for tackling complex problems. The study implements these algorithms in a single-area power system model, tuning controller parameters to minimize frequency deviations and improving the performance. This paper includes mathematical modeling, algorithm implementation, and result analysis to show how hybrid of both ALO and GBO algorithm improve stability and performance as compared to traditional methods.

关键词： Uncertainty MIMICs Evolutionary computation Power system stability control systems Stability analysis Hybrid power systems

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complex Approach to Synthesizing Neural Network Regulators for Unstable Nonlinear control Objects

Complex Approach to Synthesizing Neural Network Regulators f...

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

作者： Dmitry Khapkin Sergey Feofilov Andrey Efromeev Digital Control Systems Laboratory Tula State University Tula Russia

The use of neural network controllers in automatic control systems of complex nonlinear dynamic objects is an actual direction of development of modern control theory. The authors propose an approach based on the simultaneous synthesis of a neural network Lyapunov function with a controller that guarantees the stability of a closed-loop system. Unlike previous studies devoted to the synthesis of autonomous control systems, this paper presents a method for synthesizing tracking systems. An algorithm is also proposed to optimize the transient time. An example of controller synthesis for an unstable control object is considered

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Advanced Problem in Mechanics III - Proceedings of the 49th international Summer School-conference "Advanced problems in Mechanics", 2021

Advanced Problem in Mechanics III - Proceedings of the 49th ...

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Advanced Problem in Mechanics III - Proceedings of the 49th international Summer School-conference "Advanced problems in Mechanics", 2021

ISBN: (纸本)9783031372452

The proceedings contain 32 papers. The special focus in this conference is on Advanced problems in Mechanics. The topics include: Equal-strength Design of Axially Symmetric Thin-Walled Shell Moving in Deformed Media;numerical Aspects of the J-Integral Estimation for Thermomechanical Loading;wear Resistance of Fe66Cr10Nb5B19 Coatings Obtained by Detonation Spraying at Different Explosive Charges;on the Lifetime of Spherical Vessels Subjected to Mechanochemical Corrosion and Temperature Difference;exact and Approximate Solutions of the Modified System of Interrelated Kinetic Equations for Damage Parameter and Creep Deformation;using of Modified Maxwell Equation to Describe Experimental Creep Curves of Carbon Fiber Reinforced Plastic Composites After Aging;residual Stresses in a Thermo-viscoelastic Additively Manufactured Cylinder Subjected to Induction Heating;influence of Aero-thermoacoustic Treatment on the Characteristics of Casting Aluminum Alloys;insectomorphic Robot Rescue from an Emergency on the Back Under the Interference of Influence;effect of Thermal Wall Boundary Conditions on a Viscous Fluid Flow Through an Abrupt Contraction;stability, Instability Study and control of Autonomous Dynamical systems Based on Divergence Method;energy-Optimal control by Boundary Forces for Longitudinal Vibrations of an Elastic Rod;self-synchronization of Inertial Vibration Exciters in a System with an Elastic Limiter;modelling the Dynamics of a Large-Scale Industrial Manipulator for Precision control;the Effect of Hydrogen Embrittlement on the Torsional Oscillations of the Pipe as a Multilayer Shell;Wireless ECG Monitoring Device with the Ability to Collect and Analyze the Received Data;Algorithmic Modelling of the Heart Based on CT Scans;numerical Simulation of the Stress Nature of the Stresses Arising in the Bone, When Installing Different Structures for Temporary Epiphysiodesis;modeling of Functional Behavior of Cu-Al-Be Shape Memory Alloys.

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modeling Hydrodynamic Diffusion Processes using Spatio-Temporal Deep Neural Networks with Environmental Physical-Coupled Constraints

Modeling Hydrodynamic Diffusion Processes using Spatio-Tempo...

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IEEE international conference on systems, Man and Cybernetics

作者： Lei Jia Neil Yen Yan Pei Graduate School of Computer Science and Engineering University of Aizu Aizuwakamatsu Fukushima Japan

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

The simulation and analysis of complex spatiotemporal systems are crucial for expressing and solving chaotic dynamical systems such as those in Earth and environmental sciences. Understanding and computing physical processes, re-actions, or substance transport typically relies on control equations. This paper aims to explore a novel research paradigm by enhancing the physical network coupling structure to construct predictive models for fluid dynamics systems, simulating spatiotemporal dynamical processes of substance transformation in the domain of environmental physics. In particular, when addressing problems involving the non-homogeneous 2D fluid dynamics equations, the characteristic parameters of the phys-ical processes were redefined. This was achieved by encoding hard boundary conditions and designing appropriate neural network architectures to mitigate over-fitting issues during the prediction of parameterized dynamical systems. Comparative experiments involving five benchmark physics-informed neural network methods emphasize the significant improvement in capturing time-varying features and prediction accuracy brought by the proposed approach. Through various water cycle scenarios, the model's estimation ability for diffusion fields is validated, focusing on analyzing the influence of data errors and sample size on the computational results of this deep neural network. Notably, the proposed method exhibits higher robustness to outlier observations under extreme conditions.

关键词： Fluid dynamics Computational modeling Process control Artificial neural networks Predictive models Mathematical models Robustness Spatiotemporal phenomena Dynamical systems Water cycle

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A Sensorless control Method Based on High Frequency Injection for Dual Three Phase Motor with Asymmetric Windings 25

A Sensorless Control Method Based on High Frequency Injectio...

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25th international conference on Electrical Machines and systems (ICEMS)

作者： Wu, Zheng Cheng, Chenwen Hua, Wei Zhang, Hengliang Yin, Hang Hu, Mingjin Southeast Univ Dept Sch Elect Engn Nanjing Peoples R China

ISBN: (纸本)9781665493024

The asymmetric windings of motor could lead to the rotor position and speed estimation errors in sensorless drive system, resulting in torque ripples and power loss. A dual three-phase motor has two sets of separately three-phase windings, whose winding asymmetry effects are unified by combining sensorless control method with the vector space decomposition (VSD). Based on this principle, a high-frequency (HF) square-wave voltage injection (HFSVI) based sensorless control method is realized in alpha beta-subspace. Then, the single phase asymmetric winding is verified to cause varying amplitudes and extra negative sequence components in responded HF currents in alpha beta-subspace. The severity of these two problems are discussed respectively, and they are solved by a new rotor position estimation method based on dual complex coefficient adaptive filter (DCCAF). The validity of proposed method is verified by experimental results on a prototyped dual three-phase interior permanent magnet machine (DT-IPM).

关键词： Dual three-phase motor inductance asymmetry high-frequency injection sensorless control

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Co-design of Embodied Intelligence: A Structured Approach

Co-design of Embodied Intelligence: A Structured Approach

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IEEE/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Zardini, Gioele Milojevic, Dejan Censi, Andrea Frazzoli, Emilio Swiss Fed Inst Technol Inst Dynam Syst & Control Zurich Switzerland Empa Swiss Fed Labs Mat Sci & Technol Automot Powertrain Technol Lab Dubendorf Switzerland

ISBN: (纸本)9781665417143

We consider the problem of co-designing embodied intelligence as a whole in a structured way, from hardware components such as propulsion systems and sensors to software modules such as control and perception pipelines. We propose a principled approach to formulate and solve complex embodied intelligence co-design problems, leveraging a monotone co-design theory. The methods we propose are intuitive and integrate heterogeneous engineering disciplines, allowing analytical and simulation-based modeling techniques and enabling interdisciplinarity. We illustrate through a case study how, given a set of desired behaviors, our framework is able to compute Pareto efficient solutions for the entire hardware and software stack of a self-driving vehicle.

关键词： Analytical models Pipelines Propulsion control systems Software Hardware Sensor systems

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Design of control Circuits for Dynamic Reconfiguration of Shaded Solar Panels

Design of Control Circuits for Dynamic Reconfiguration of Sh...

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international conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2024

作者： Arezki, S. Abdelghani, A. Boudour, M. University of Science and Technology Houari Boumediene Bab Ezzouar Bab Ezzouar Algeria Department of Electrical Engineering University of Tahri Mohamed Bechar Bechar Algeria

ISBN: (纸本)9783031803000

This study highlights the critical importance of reconfiguring photovoltaic (PV) arrays to optimize energy production despite various forms of shading. The research shows that reconfiguration, whether static or dynamic, has been widely explored in different PV array topologies. A detailed modeling of PV arrays is first presented, including evaluation criteria and behavioral analysis. This preliminary study establishes the necessary foundation for a comprehensive understanding of the system and the exploration of advanced optimization methods. Two optimization methods through reconfiguration are then proposed. The first method, called modified SP, involves transitioning from the series-parallel (SP) circuit to the Total Cross-Tie (TCT) circuit, known as SP-TCT. The second method, SP_RECFG, allows for the redistribution of solar modules affected by shading. Simulations show that these approaches optimize the power output of PV arrays even in complex shading scenarios. A comparative study also demonstrates the superior efficiency of the SP_RECFG method. Additionally, the theoretical approaches have been experimentally validated. The SP-TCT method was successfully implemented, minimizing power losses due to partial shading. This research demonstrates that reconfiguring PV arrays is essential for maximizing solar energy production and contributing to a sustainable energy transition. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Solar power generation

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Research on Path Planning Algorithm Based on D∗ Search

Research on Path Planning Algorithm Based on D∗ Search

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2023 international conference on Ocean Studies, ICOS 2023

作者： Leng, Jiajun Fu, Li Wang, Lingling Tang, Ning Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Beijing100036 China Tianjin Navigation Instruments Research Institute Tianjin300131 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Bauman Moscow State Technical University Moscow Department of Automatic Control Systems 105005 Russia

ISBN: (纸本)9798350382457

Path planning algorithms are current research hotspots. Heuristic algorithms that can solve dynamic environment problems are gradually becoming the mainstream research direction. The D∗ algorithm, as one of the new heuristic algorithms, has the advantages of being more computationally efficient than the A ∗ algorithm and being able to solve dynamic problems, and has played an important role in two-dimensional path planning projects such as the NASA Mars rover. But its theoretical research and practical application in 3D environment are very rare. In this context, this paper carries out an in-depth study of the path planning problem based on the D∗ algorithm, and completes the theoretical derivation and simulation process in 2D and 3D environments. In this paper, a complex random 2D map is established by random generation, and the simulation of D∗ algorithm is realized on the map with the help of Python language, which realizes the finding of the relative optimal path. Then, in order to study the feasibility of D∗ solving in 3D environment, the simulation of D∗ algorithm under 3D map is realized with the help of Python and Unity3d. The research results show that the simulation results are good, which is valuable for the theoretical research and practical application of heuristic algorithms, and plays a role in the application of robot path planning algorithms. © 2023 IEEE.

关键词： Python

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