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检索条件"任意字段=2022 5th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2022"

共 264 条记录，以下是1-10 订阅

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2022 5th international conference on advanced algorithms and control engineering, icaace 2022

2022 5th International Conference on Advanced Algorithms and...

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2022 5th international conference on advanced algorithms and control engineering, icaace 2022

the proceedings contain 79 papers. the topics discussed include: interactive and fast low-light image enhancement algorithm and application;design of real-time target location algorithm for industrial scene;a computational optimization research on ant colony optimization for the traveling salesman problem;research on Bi-LSTM machine reading comprehension algorithm based on attention mechanism;the single train's punctual and energy-saving operation scheme based on dynamic programming algorithm;research on hybrid collision detection algorithm based on separation distance;a variable step-size normalized least mean square algorithm with orthogonal correction factors;research on optimizing multimodal transport path under the schedule limitation based on genetic algorithm;and optimization of flow shop scheduling based on genetic algorithm with reinforcement learning.

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Proceedings of the 5th international conference on Electrical engineering and control Applications–Volume 1 1

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丛书名： Lecture Notes in Electrical engineering

1000年

作者： Salim Ziani Mohammed Chadli Sofiane Bououden Ivan Zelinka

ISBN: (数字)9789819700455

ISBN: (纸本)9789819700448;9789819700639

this book gathers papers presented during the 5th international conference on Electrical engineering and control Applications (ICEECA 2022), held on November, 15–17, 2022, Khenchela, Algeria. It covers new control system models, troubleshooting tips, and complex system requirements, such as increased speed, precision, and remote capabilities. Additionally, the book discusses not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. the later part of the book covers important related topics such as fault diagnosis and fault-tolerant control strategies for nonlinear systems and alternative energy sources. this book is intended for researchers, engineers, and advanced postgraduate students in the fields of control and electrical engineering, computer science, signal processing, as well as mechanical and chemical engineering.

关键词： control and Systems theory Signal, Image and Speech Processing Computational Intelligence Communications engineering, Networks

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Proceedings of the 5th international conference on Electrical engineering and control Applications–Volume 2 1

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丛书名： Lecture Notes in Electrical engineering

1000年

作者： Salim Ziani Mohammed Chadli Sofiane Bououden Ivan Zelinka

ISBN: (数字)9789819747764

ISBN: (纸本)9789819747757;9789819747788

关键词： control and Systems theory Signal, Image and Speech Processing Computational Intelligence Communications engineering, Networks

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

5th International Conference on Electrical Engineering and C...

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

ISBN: (纸本)9789819747757

the proceedings contain 50 papers. the special focus in this conference is on Electrical engineering and control Applications. the topics include: Sliding Mode control Based on Exponential Reaching Law Applied on a Five-Phase Permanent Magnet Synchronous Generator Based Wind System;indirect Field Oriented control and Synergetic control of Doubly Fed Induction Generator-Comparative Study;Storage Management Algorithm of a PV System;Energy Management of PV/WT/Battery Hybrid Power System Using Flatness-Based control;Solar Radiation Measurements in the Adrar Region of Algeria: Radiometric Stations, Statistics, and Comparison with MERRA2 Data;estimation of Solar Radiation on the Ground from Meteosat Satellite Images and Different Models: Case of the Ghardaïa Region;fuzzy Logic control Strategy for a Grid-Connected Wind System with a Battery Energy Storage;Impact of Distribution Generation on Transient Stability with PSAT;Ageing Impact on Reliability and Components Importance of an NPP’s Emergency Power Supply Model;Performance Improvement of a DFIG-Based Wind Energy Conversion System Using Fuzzy-MPPT and SVM-DTC;combined Machine Learning Techniques for Analyzing the Back Contact Influence on the Stability of Perovskite-Based Solar Cells;Test of advanced Functionalities of Photovoltaic Inverters Integrated in Algerian LV Distribution Network;Simulations of Silicon n-on-p Pixel Detectors for HEP Experiments;A Multiple-Areas Based on PID-Virtual Inertia control Strategy for Inverters;Characterization of Radiated Electromagnetic Fields Using Equivalent Sources with HGAGWO Method;fault Diagnosis of Photovoltaic Arrays Based on Support Vector Machine and t-Distributed Stochastic Neighbor Embedding;studying the Effect of Mn Doping on the Electrical and Optical Properties of ZnO/Ag/ZnO Multilayer.

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

5th International Conference on Electrical Engineering and C...

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

ISBN: (纸本)9789819700448

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Optimization design and validation of ceramic matrix composite turbine dovetail strength process 5

Optimization design and validation of ceramic matrix composi...

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2024 5th international conference on advanced Materials and Intelligent Manufacturing, ICAMIM 2024

作者： Ma, Penghui Li, Xin Hu, Dianyin Liu, Yu Liu, Xi Wang, Rongqiao School of Energy and Power Engineering Beihang University 37 Xueyuan Road Haidian District Beijing100191 China Hunan Aviation Powerplant Research Institute Aero Engine Corporation of China 2 Jianguo Road Lusong District Zhuzhou412002 China Research Institute of Aero-Engine Beihang University 37 Xueyuan Road Haidian District Beijing100191 China Beijing Institute of Control Engineering 104 Youyi Road Haidian District Beijing100094 China

We research the optimal design method of SiCf/SiC ceramic matrix composite (CMC) turbine dovetail. Firstly, the geometrical shape optimization is carried out based on the multiscale damage analysis and the stress distribution characteristics of the turbine dovetail. the optimization results indicated a 31.8% improvement in the strength performance of the CMC dovetail. then, considering the fibre distribution in the platform and dovetail regions, three corresponding lay-up design schemes were proposed. Based on the simulation results and performance preparation methods, the optimal lay-up scheme was determined. the experimental result showed the maximum tensile strength of the dovetail is 147.18 MPa, and the error is 5% compared with the simulation result, which indicates the accuracy of the optimized design method. 2025 Published under licence by IOP Publishing Ltd.

关键词： Ceramic matrix composites

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Investigating Quantum-Inspired Evolutionary Algorithm with Restarts for Solving IEEE CEC 2022 Benchmark Problems 5th

Investigating Quantum-Inspired Evolutionary Algorithm with R...

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

作者： Siddiqui, Lubna Mani, Ashish Singh, Jaspal Amity School of Engineering and Technology Amity University Noida India Amity Innovation and Design Centre Amity University Noida India Centre for Development of Advanced Computing Chandigarh India

ISBN: (纸本)9789819600465

this paper investigates the effectiveness of two restart methods, local and global restarts, in enhancing the performance of the quantum-inspired evolutionary algorithm (QiEA) to solve optimization problems. the study compares the result of these modifications by testing their performance against the widely recognized and challenging IEEE CEC 2022 benchmark functions. the objective is to analyze the impact of the restart methods on the convergence and optimization outcomes of the QiEA. through experimental evaluation, it was sought to determine whether the inclusion of restart methods in the QiEA framework would lead to improved convergence toward the optimal solution. Also, a novel Greedy Local Restart algorithm is proposed. the results demonstrate that the QiEA variants consistently outperform the basic QiEA, achieving superior optimization results in terms of convergence and accuracy. Restart approaches are thus observed as an indispensable asset in handling complex optimization problems, greatly enhancing the effectiveness and applicability of evolutionary algorithms. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Evolutionary algorithms

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CE-DSLAM: A Dynamic SLAM Framework Based on Human Contact Experience for Escort Robots 5th

CE-DSLAM: A Dynamic SLAM Framework Based on Human Contact Ex...

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5th international conference on Neural Computing for advanced Applications (NCAA)

作者： Zhang, Jilin Huang, Ke Li, Yichen Zhu, Hao Li, Peiran Zhang, Menghua Univ Jinan Sch Elect Engn Jinan 250022 Peoples R China Shandong Normal Univ Sch Informat Sci & Engn Jinan 250358 Peoples R China Shandong Univ Sci & Technol Sch Control Sci & Engn Jinan 250000 Peoples R China Shandong Enguang Energy Technol Co Ltd Jinan 250001 Peoples R China Shandong Inspur Database Technol Co Ltd Jinan 250001 Peoples R China

ISBN: (纸本)9789819770069;9789819770076

Accurate navigation capabilities can help escort robots interact better with *** navigation algorithms are usually used in static environments. When dynamic objects appear in indoor environments, the matching of dynamic points on the object can interfere with the camera pose and leave stains on the map. Although semantic segmentation methods can remove potential dynamic objects, dynamic objects will not be detected for some movable objects, such as books held by humans. In this regard,a Dynamic SLAM framework based on human Contact Experience (CE-DSLAM) is proposed for escort robots. this framework effectively adapts to indoor dynamic settings and can predict the actual status of certain movable objects based on contact experience. We assume that the movement of movable objects is caused by humans, and propose an adaptive frame strategy for detecting human masks. For information from multiple consecutive frames, we use effective contact to update the prior level of indoor movable objects. this article first assigns an initial level to all indoor objects based on human experience, and enters the adaptive frame thread based on whether a person's mask is detected or not. then, the dynamic level of indoor movable objects is updated based on the experience of contact between humans and movable objects. When the next frame of the image arrives, the high dynamic level feature points will be removed, and the remaining static points will be used for localization. We evaluated CE-DSLAM on the TUM RGB-D dataset and compared it with the DynaSLAM system in a dynamic environment. the experimental results indicate that CE-DSLAM can operate stably in dynamic environments and can be well applied in indoor environments.

关键词： Semantic SLAM Dynamic environments Segmentation prior Dynamic level Contact experience

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Sensorless control of PMSM Based on Improved Adaptive MRAS 8th

Sensorless Control of PMSM Based on Improved Adaptive MRAS

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8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Chen, Xinqiang Yang, Jia Wei, Lisheng Lu, Huacai Anhui Key Laboratory of Electric Drive and Control Wuhu China School of Electrical Engineering Anhui Polytechnic University Wuhu China

ISBN: (纸本)9789819602933

To enhance the robustness and minimize the discrepancies between the estimated and actual values of speed and position in conventional Model Reference Adaptive System (MRAS) observers for Permanent Magnet Synchronous Motor (PMSM) control, this study introduces an advanced MRAS algorithm. To address the inherent limitations of the Proportional-Integral (PI) structure in the speed adaptive rate of conventional Model Reference Adaptive Systems (MRAS), which often lead to reduced accuracy in speed identification and compromised robustness, this study proposes an innovative approach. Specifically, the PI structure of the speed adaptive law is replaced with a sliding mode variable structure. Recognizing that the sliding mode variable structure may induce chattering, this paper introduces a super-twisting sliding mode algorithm derived from higher-order sliding mode algorithms to replace the PI structure in the MRAS speed adaptive law. Furthermore, an adaptive coefficient is incorporated into the integral term to enhance the precision of motor speed identification and mitigate chattering effects. the efficacy of this approach is demonstrated through experimental simulations conducted in MATLAB/SIMULINK, which reveal a significant reduction in estimation errors during the observer’s identification of motor parameters, thereby improving the response speed of the identification process. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Permanent magnets

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Non-feedback control of Lorenz chaotic system 5

Non-feedback control of Lorenz chaotic system

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2022 5th international conference on advanced algorithms and control engineering, icaace 2022

作者： Zhao, Yang Sun, Shiyan Wei, Ping College of Ordnance Engineering Naval University of Engineering Wuhan430033 China

Non-feedback chaos control of Lorenz chaotic system is realized with non-resonant parametric drive. the control input is a periodic signal whose frequency is far higher than the system characteristic frequency. the feasibility of this scheme is proved by averaging method and Lyapunov method, and the condition of control parameter is obtained. Numerical researches show that the controlled system can reach stable state rapidly even when the control signal is noisy. © Published under licence by IOP Publishing Ltd.

关键词： Chaos control

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