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

共 12182 条记录，以下是61-70 订阅

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Improving Feasibility of Optimal control via Obtaining High-Precision Model 4th

Improving Feasibility of Optimal Control via Obtaining Hig...

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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

作者： Shmalko, Elizaveta Prokopiev, Igor Diveev, Askhat Yamshanov, Konstantin Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031812408

In the absence of any observation system or low veracity of the data, it is possible to provide control over a limited time interval basing on a high-precision control object model used. The paper proposes to use a multilayer artificial neural network (ANN) to obtain such a model. In this case, instead of the ordinary differential equation (ODE) system in the Cauchy form, we get a mixed ODE-ANN mathematical model, the parameters of which are tuned to the dynamics of a particular control object. The paper describes the process of identification of the control object model including obtaining a sufficient volume of the training sample. General data properties are formulated to obtain a good model from the point of view of use in control problems. The problem of optimal control for an object described with ANN-based model is formulated and numerical approach for its solution is proposed. An example of solving the optimal control problem for a mobile robot based on the identified neural network model is given. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Multilayer neural networks

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6th international conference on Intelligent Communication, control and Devices, ICICCD 2024

6th International Conference on Intelligent Communication, C...

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6th international conference on Intelligent Communication, control and Devices, ICICCD 2024

ISBN: (纸本)9789819783281

The proceedings contain 71 papers. The special focus in this conference is on Intelligent Communication, control and Devices. The topics include: Treatment of Mood Swings Using AI;Detection of Lung Cancer with YOLO-NAS: A Novel Approach for Enhanced Diagnostic Accuracy;Optimised Grid Integration of Solar PV and Electric Vehicle (EV): A Dynamic State-Based Energy Management Strategy;Multiple Intrusion Detection in complex Cloud Environments Using Random Forest and Deep Learning on the UNSW-NB15 Benchmark Datasets;Real-Time Power Estimation and Monitoring of an IoT Node Using MQTT;Exploring MIMO-NOMA: Enhancing Multi-user Communication with Power Allocation;a Framework Utilizing Deep Learning for Detecting Multiple Cancers in Medical Imaging;Revolutionizing Medical Applications: IoT-Based IVF Monitoring;AI Virtual Mouse: Revolutionizing Human–computer Interaction;A Wideband Monolayered Graphene-Based Microstrip Patch Antenna for THz-Frequency Applications;A Monolayered Graphene-Based Microstrip Patch Antenna for Optimal Performance in the Mid-THz Band;kinematic Analysis and modeling of the Gait by Parametrization of the Body Trajectories of 18 Degree-of-Freedom Hexapod Robots Using Reinforcement Learning;modernized Ration Distribution System with Integrated Mobile Accessibility;Multiple Device-Based Geo-Position Spoofing Detection in Instant Messaging Platform with Residual Noise Extraction Using DRN;compact Circular Patch Grid Array Antenna for Medical Imaging Applications;driver Drowsiness Detection System: An Integrated Vision-Based Approach;development of Bit Synchronizer for Remote Sensing Satellite Data;design and Optimisation of Compact Wideband Yagi-Uda Antenna for V2V Communication;Advancing Object Discovery: Unveiling the Power of YOLO in Computer Vision Applications;ambulance Precedence Integrated Traffic Management System;Performance Analysis of Crossbar in NOC Through Booksim Simulator.

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System Reliability Modelling Under UGF and Intuitionistic Fuzzy Application

System Reliability Modelling Under UGF and Intuitionistic Fu...

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Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI), international conference on

作者： Aditi Bisht Vidisha Sharma Shristi Kharola Akshay Kumar Mangey Ram Department of Mathematics Graphic Era Hill University Dehradun India Department of Mathematics Graphic Era Deemed to be University Dehradun India

ISBN: (数字)9798331518523

ISBN: (纸本)9798331518530

Many physical-world systems are complex and consist of inter-connected elements. The idea of series-parallel reliability is important in the field of reliability engineering, especially when analyzing the reliability of complex systems. In this study, the authors have utilized the techniques of Universal Generating Function and Intuitionistic Fuzzy Numbers to evaluate reliability. As an example, an Electronic Stability control system with two sub-systems, mainly a sensor system and an actuation system with multi-components is considered. The authors model the reliability of the complete system considering a general system of the same and further calculate the reliability of the series-parallel positioning of the components as an application to the above-mentioned analytical techniques.

关键词： Fuzzy sets Computational modeling Biological system modeling Focusing Reliability engineering control systems Stability analysis Sensor systems complex systems Cognitive systems

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MLP-Based Adaptive Sampling and Optimization of Laser-Ion Acceleration with Ultra-Short Laser Pulses 15th

MLP-Based Adaptive Sampling and Optimization of Laser-Ion ...

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15th international conference on Parallel Processing and Applied Mathematics, PPAM 2024

作者： Miethlinger, Thomas Bussmann, Michael Schramm, Ulrich Kluge, Thomas Helmholtz -Zentrum Dresden-Rossendorf Dresden01328 Germany Technische Universität Dresden Dresden01069 Germany

ISBN: (纸本)9783031857027

The field of laser-ion acceleration faces significant challenges in handling high-dimensional, computationally intensive problems, often constrained by budgets and available computational power. Reliably achieving high ion energies with current laser technologies through ultra-high intensity pulses in near-critical to overdense plasmas remains difficult, necessitating detailed, costly simulations to explore various acceleration mechanisms and optimize outcomes. Due to the high computational cost of these simulations, there is a need for precise, scalable, and efficient adaptive sampling methods that balance exploring new mechanisms while exploiting known parameter dependencies and that can operate in high-performance computing environments. In this work, we propose and investigate a scalable adaptive sampling approach that intrinsically supports parallel processing. We apply this method to data obtained from particle-in-cell simulations using multilayer perceptrons (MLPs), chosen for their flexibility in modeling complex dependencies. We benchmark our results against Bayesian optimization, and we highlight the limitations of MLPs when accounting for the intrinsic uncertainty present in the acceleration process. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Budget control

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Methods and Implementation Ideas for Mitigating Errors in complex systems Development

Methods and Implementation Ideas for Mitigating Errors in Co...

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Robotics, control and Automation (ICRCA), international conference on

作者： Ju Shichao Project Center. System Engineering and Project Management Research Team Shanghai Aircraft Design and Research Institute Shanghai China

ISBN: (数字)9798331544577

ISBN: (纸本)9798331544584

This paper analyzes the patterns of error discovery in aircraft development and the problems with current industry practices. It delves into the root causes, considering aspects such as issue recording, disciplinary fields, analytical verification, and personnel. It proposes a method for advancing the discovery of developmental issues and discusses the integration of assurance methods and review approaches, grounded in practical review practices.

关键词： Industries Automation Reviews Recording Personnel Aircraft complex systems Robots Aerospace control

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Real-Time Simulation of complex 4D Wind Fields and Gusts for UAS control System Development

Real-Time Simulation of Complex 4D Wind Fields and Gusts for...

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international conference on Unmanned Aircraft systems (ICUAS)

作者： Surabhi Parab Artur Wolek Dipankar Maity Andrew Willis Electrical and Computer Engineering Charlotte NC USA Mechanical Engineering and Engineering Science University of North Carolina at Charlotte Charlotte NC USA

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

This article describes a new suite of simulation plugins for the Gazebo 3D simulator to facilitate realistic simulation of time-varying 3D wind fields and gusts. The plugins integrate with ROS and Pixhawk PX4 Software-In-The-Loop (SITL) firmware to aid in the development of robust UAS control systems. Our approach features two main components: (1) real-time plugins for simulating environmental and sensed versions of complex, spatially varying wind velocity fields, using a Fourier-based compression of large CFD datasets, and (2) real-time plugins for modeling environmental and sensed versions of short-duration windblasts. By building on opensource Gazebo and ROS software, the developed framework provides high-accuracy physics simulation with support for multiple vehicles, fostering improved flight controller design and testing in cluttered or challenging atmospheric conditions.

关键词： Three-dimensional displays Atmospheric modeling Wind speed Urban areas control systems Aerodynamics Real-time systems Vehicle dynamics Time-varying systems Testing

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Data-Driven Modelling and Predictive control for the Geometry and Mechanical Properties of Freeform Bending Processes 11

Data-Driven Modelling and Predictive Control for the Geometr...

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11th Vienna international conference on Mathematical Modelling (MATHMOD)

作者： Ismail, Ahmed Boehm, Viktor Stebner, Sophie Kong, Linghao Volk, Wolfram Muenstermann, Sebastian Lohmann, Boris Tech Univ Munich Sch Engn & Design Chair Automat Control Boltzmannstr 15 D-8570 Garching Germany Tech Univ Munich Sch Engn & Design Chair Met Forming & Casting Walther Meissner Str 4 D-85748 Garching Germany RWTH Aachen Unviers Integrityy Mat & Struct Intzestr 1 D-52072 Aachen Germany

Freeform bending is a technique used to bend different tube profiles into complex structures. In the realm of Aritificial Intelligence and Machine Learning, data-driven approaches in modeling and in optimization based control contribute to the job being executed, by increasing product quality and reducing energy consumption and material waste. In previous works, soft-sensors as well as different factors affecting the geometry and the residual stresses have been investigated and been utilized in a preliminary closed-loop control structure. Later on, this control structure has been replaced with a control strategy called Residual Strategy Algorithm, that could, based on previous deviations in the geometry, proactively react in order to reduce their effects. In this paper, the previously developed Residual Strategy Algorithm is extended to include both, the geometry as well as the residual stresses of the tube being bent. Also the modelling of both will be discussed altogether. The validation of the algorithm is done using simulation results. Copyright (c) 2025 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Data-Driven Modelling Predictive control Free-form bending Residual Stresses Curvature Process Optimization Soft sensors Closed-loop control Feed-forward control Gaussian Process Regression Neural Network Artificial Intelligence Machine Learning Cyber Physical Production systems

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AGC of Two-Area Non-reheat Power System Using GWO Technique 5th

AGC of Two-Area Non-reheat Power System Using GWO Technique

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5th international conference on Recent Developments in control, Automation and Power Engineering, RDCAPE 2023

作者： Mohammed, Ahmed Nura Chatterjee, Shamik Bello, Mohammad Department of EEE HAFEDPOLY Jigawa State Kazaure Nigeria SEEE LPU Punjab Phagwara India

ISBN: (纸本)9789819600885

The stringent reliability requirement and rapid technological advancement that are arising in power system as essential services are set out to be more digital and automated, making automatic generation control (AGC) study essential for innovation of new ideas of handling emergent AGC problems. The novel gray wolf optimization (GWO) algorithm is applied here as an optimization apparatus for AGC of two-area power systems because of its high adeptness in unraveling complex engineering problems and its ability to converge swiftly toward the optimum. The study utilized area control error control strategy and employed PID controller as secondary controller because of its well-known attributes;the gains of the controller were systematically adjusted with novel GWO technique based on multi-objective approach. The dynamic performance obtained with the GWO was collated with other intelligent optimization algorithms which are said to be coherent and revealed high performance in the survey carried out on AGC, currently, as specified in the literature. The outcomes procured evidently specify the superior performance of the GWO algorithm in contrast to these algorithms. However, robustness analysis carried out to the system illustrates the high flexibility of the proposed method to parameter uncertainty. Hence, the study conclude that the algorithm can be applied as a powerful tool for optimizing AGC of power system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Three term control systems

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Hybrid Data-Driven and Mechanistic modeling Approaches for Gas Turbine CCPP control System Validation 1st

Hybrid Data-Driven and Mechanistic Modeling Approaches for G...

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1st Electrical Artificial Intelligence conference, EAIC 2024

作者： Wu, Ke Ji, Zheng Li, Jianliang Huang, Lei Chen, Zijing Guodian Nanjing Automation Co. Ltd. Nanjing210032 China Nanjing SAC Valmet Automation Co. Ltd. Nanjing210032 China China Huadian Corporation Ltd. Beijing100031 China

ISBN: (纸本)9789819640621

The utilization of heavy-duty gas turbines in power plant, coupled with a combined cycle system (CCPP), represents a significant alternative to conventional coal-fired boiler turbine units, primarily due to its swift load response capabilities and environmentally benign emissions profile. In China, the gas turbines control system (TCS) have been predominantly supplied and stringently regulated by international vendors. The domestically developed TCS needs extensive validation prior to its commercial deployment. The adequate fidelity model of the CCPP to represents both static and dynamic characteristics plays a critical role in this process. Hybrid modeling provides a promising option to tackle such complex problems. In hybrid modeling, the process-related principles are represented by mechanistic models, while the coefficients added to the first-principal models as adjustments to present unknown process characterizes, are described by data-driven models. This article highlights the significance of hybrid modeling in multiscale CCPP processes. The common design methodology is first introduced. The piece-by-piece devices modeling are then performed following the mass and energy flow. A novel control-oriented hardware-in-the-loop (HIL) simulator for TCS validation is introduced, which helps to reduce costs, mitigate the risk of equipment damage compared to comprehensive and dangerous on-site testing and expedites the commissioning process. Concluding remarks are provided, and future perspectives are pointed out at the end. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Combined cycle power plants

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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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