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第41届中国控制会议

作者： Biao Zheng Luefeng Chen Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development of science and technology,graph convolutional network has made great progress in improving the accuracy of action ***,there still exists some deficiencies in current ***,the human skeleton point coordinates entering into the network are barely refined,which may cause large ***,the second-order information(the length and direction of bones),which can reflect action characteristics discriminatively,is rarely *** solve the above issues,a two stream graph convolutional network with pose refinement for skeleton based action recognition is ***,we use an adaptive block to to help improve the *** test our method on Kinetics dataset and the experiment show it can get better results than some recent methods,which plays a positive role in future research.

关键词： Graph convolutional network Pose refinement Skeleton based action recognition Adaptive block

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Simulation Method for Reliability Prediction of Switching Power Supply injected with PoF Model

Simulation Method for Reliability Prediction of Switching Po...

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System Reliability and Safety engineering (SRSE), International Conference on

作者： Kaiwen Xiao Cen Chen Weiming Liu Shujuan Wang Xiaoying Gao Guofu Zhai Department of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9798350356083

ISBN: (纸本)9798350356090

Switching power supplies are widely used in aerospace, new energy and many other fields. During long-term operation, various electronic components in these supplies experience performance degradation due to continuous electrical and thermal stress, leading to changes in output characteristics. This is the fundamental reason affecting the reliability of switching power supplies. However, the current combination of physics of failure (PoF) models and simulation technique is imperfect, and most methods cannot achieve batch injection of multiple device failures. This paper proposes a reliability prediction simulation method for switching power supplies based on PoF model injection. By focusing on a switching circuit, the approach involves digital twin modeling and validation, failure mechanism and sensitivity analysis, key failure components degradation modeling, and batch degradation simulation. This method achieves continuous degradation data of multiple components based on the PoF model through batch injection, improving the efficiency and accuracy of reliability prediction for switching power supplies.

关键词： Degradation Power supplies Switches Predictive models Reliability engineering Mathematical models Data models Integrated circuit modeling Thermal stresses Stress

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Validation of Adaptive Cruise control based on Model Predictive control for Autonomous Vehicles in Real-Time System

Validation of Adaptive Cruise Control based on Model Predict...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Duc-Tien Bui Hung Duy Nguyen Zhengguo Gu Arno Eichberger Institute of Automotive Engineering Graz University of Technology Graz Austria Automation and Control Institute (ACIN) Vienna University of Technology Austria

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

controller models are crucial in maintaining stability, safety, and efficiency in dynamic systems. Adaptive Cruise control (ACC), a common feature in modern vehicles, adjusts the vehicle’s speed to maintain a safe following distance from the preceding vehicle. This paper presents a new approach to designing an ACC controller, utilizing a Model Predictive control (MPC) to obtain multiple objectives. The model is tested on the one hand with co-simulation between IPG CarMarker (i.e., a high-fidelity vehicle dynamics and testing software) and Matlab/Simulink on a Model-in-the-Loop (MiL) Level and on the other hand on a Hardware-in-the-Loop (HiL) to prove the real-time capability of the controller. The results show the performance of the MPC controller and the gap between MiL and HiL in the case the target car cuts in the lane of the ego car and the ego car approaches the target car.

关键词： Adaptation models Real-time systems Stability analysis Software Safety Automobiles Vehicle dynamics Testing Predictive control Cruise control

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Practical Distance-Based Formation Stabilization and Tracking of Nonholonomic Multi-agent Systems 7th

Practical Distance-Based Formation Stabilization and Tracki...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Tang, Xiangyu Yu, Jianglong Dong, Xiwang Yang, Xiangyu Ren, Zhang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

ISBN: (纸本)9789819733279

This paper investigates practical distance-based formation stabilization and tracking issues for nonholonomic multi-agent systems (MASs). Firstly, the agent’s nonholonomic kinematics is represented as a left invariant system on a Lie group. Through the introduction of an auxiliary state and a virtual control guided by the transverse function method, the original system is effectively converted into a fully actuated one. Secondly, under the assumption of infinitesimal and minimal rigidity in the graph, a gradient-descent-based virtual controller is devised for the transformed MASs, facilitating practical rigid formation stabilization. Thirdly, a discontinuous distributed velocity estimator is designed for formation tracking. The nonholonomic MASs achieve the desired formation shape while effectively tracking the reference trajectory. Finally, the effectiveness of the proposed method is verified by numerical examples. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Multi agent systems

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Multi-Ellipse Fitting Based on Kalman Filter 42

Multi-Ellipse Fitting Based on Kalman Filter

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42nd Chinese control Conference, CCC 2023

作者： Long, Chenrong Zeng, Yangzhi Ouyang, Zhenchao Guo, Pengyu Hu, Qinglei School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Institute of Control and Electronic Technology Beijing100038 China Beihang Hangzhou Innovation Institute Yuhang Xixi Octagon City Hangzhou310023 China

ISBN: (纸本)9789887581543

This paper proposes a Kalman-filter-based algorithm for fitting multiple ellipses. Specifically, the curve in Cartesian coordinates is first transformed into an extended curve in polar coordinates to obtain ordered data. Then, the Kalman filter is used for clustering to select points belonging to the same candidate ellipse. Finally, the parameters of each ellipse are solved using the least squares method to achieve ellipse fitting. Overall, the proposed algorithm effectively fits multiple ellipses while avoiding a large number of ineffective samples and maintaining a low computational load. Moreover, the numerical simulation results demonstrate that the proposed method has good robustness against outliers. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Kalman filters

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A Novel 2-DOF Translational Robot with Two Parallel Linkages Synchronous Telescopic Structures 23rd

A Novel 2-DOF Translational Robot with Two Parallel Linkages...

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23rd IFToMM China International Conference on Mechanism and Machine Science and engineering, IFToMM CCMMS 2022

作者： Li, Zhihao Wang, Hongzhou Lu, Quanguo Zou, Xiaohui Zhan, Xiaohuang Huang, Yongdong Liu, Jinfeng Jiangxi Province Key Laboratory of Precision Drive and Control Nanchang Institute of Technology Nanchang330000 China Jiangxi Institute of Mechanical Science Nanchang330000 China School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China

ISBN: (纸本)9789811993978

A parallel robot mechanism with two parallel links is proposed. It can realize the motion characteristics of synchronous telescopic in the swing state by employing a set of constraints of a synchronous belt drive system. Further, the moving platform can have 2-DOF translational motion and no singularity in its workspace by integrating the special synchronous belt drive system into the parallelogram mechanism. The kinematics analysis of the mechanism includes position-forward solution, position-reverse solution, velocity analysis, and workspace analysis. Moreover, the trajectory planning of the robot and one of its trajectory routes are presented. The distribution mode of velocity and acceleration on the trajectory is set, and the position, velocity, and acceleration of the trajectory interpolation points are obtained. Finally, the prototype manufacture is completed, and relevant tests are carried out. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Acceleration

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Q-learning-based space target selection for CNS/INS integrated navigation

Q-learning-based space target selection for CNS/INS integrat...

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Chinese control and Decision Conference, CCDC

作者： Dong Wang Jing Yang Kai Xiong School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

To solve the problem that intermittent celestial observation will hamper the navigation accuracy of celestial and inertial integrated navigation system (CNS/INS), a Q-learning-based space target selection method is proposed. The visibility situation of space targets is analyzed under given flight mission, which lays the foundation for subsequent pointing optimization. Q-learning algorithm is employed to optimize the sequence of visible space target. The reward function is designed based on the trace of Fisher information matrix and the rotation angle of optical axis which could make a synthetic balance between navigation accuracy and rotation cost. By setting the optimized pointing sequence to CNS/INS integrated navigation system, unintermittent celestial observation can be achieved to guarantee filtering performance with relatively low rotation cost, which has a certain value of practical engineering application. Comparative simulation experiments demonstrate the effectiveness of the proposed method in terms of navigation accuracy and rotation cost.

关键词： Optical filters Accuracy Costs Q-learning Navigation Filtering Space missions

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Design of an Industrial Wireless Sensor Network Security Defense Scheme Based on the Uniqueness of Clock Slope 4

Design of an Industrial Wireless Sensor Network Security Def...

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4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Shao, Shuai Dong, Lei Wang, Zhongfeng Cui, Shijie Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Southeast University Key Laboratory of Mems of the Ministry of Education School of Electronic & Engineering Nanjing China

ISBN: (纸本)9798350363586

This paper proposes a security defense scheme for industrial wireless sensor networks that utilizes the uniqueness and stability of clock slope characteristics to address the security defense challenges faced by industrial wireless sensor networks (IWSNs) under the constraints of low power consumption and low cost. By combining key elements of time synchronization technology, this scheme fully leverages the physical characteristics of the clock slope without the need to introduce additional protocols or algorithm designs, ensuring compatibility with existing time synchronization technology and providing an effective method for node identity recognition in large-scale IWSN environments. © 2024 IEEE.

关键词： Mechanical clocks

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Microstructural development and wear properties analyses of Fe-based coatings on bainitic steel by laser cladding

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Journal of Iron and Steel Research International 2022年第4期29卷 687-697页

作者： Run-feng Peng Min Zhang Yu-hang Li Yue-long Yu Ying-chun Guan Zhun-li Tan School of Mechanical Electronic and Control EngineeringMaterials Science&Engineering Research CenterBeijing Jiaotong UniversityBeijing 100044China School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China National Engineering Laboratory of Additive Manufacturing for Large Metallic Components Beihang UniversityBeijing 100083China Hefei Innovation Research Institute of Beihang University Hefei 230013AnhuiChina

Wear-resistant Fe-based coating was prepared by high-speed laser cladding on bainitic *** influence of laser scanning speed on microstructure,microhardness,and wear resistance of cladding coating was *** electron microscopy results showed that the coating was mainly composed of dendrite and *** electron microscope images were converted by binary algorithm to facilitate statistics of dendrite and interdendrite *** results indicate that by accelerating the scanning speed,the interdendrite eutectic structure *** to energydispersive X-ray spectroscopy and X-ray diffraction results,the interdendrite was enriched with elements Cr,Mo,and B,and main structures in the coating wereα-Fe,γ-Fe,and M(23)C_(6).The hardness of the coating was much higher than that of the *** diffused from coating to substrate,resulting in a transition zone of ***,with an increase in the scanning speed,the diffusion of elements at the coating–matrix interface decreased,while the hardness and wear resistance of the coating *** refinement and interdendrite(γ-Fe,M_(23)C_(6))increasing due to high scanning speed were the major contributors to the increase in hardness and wear resistance.

关键词： Laser cladding Microstructure Wear property Fe-based coating Bainitic steel

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Ultra-Short-Term Wind Power Prediction Method Based on Attention Mechanism 2

Ultra-Short-Term Wind Power Prediction Method Based on Atten...

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2nd International Conference on Energy, Power, and Electrical Technology, ICEPET 2023

作者： Hao, Yucheng Huo, Xuesong Huang, Xianming Control centre State Grid Jiangsu Electric Power Co. Ltd Jiangsu Nanjing210017 China School of Electrical and Automation Engineering Changshu Institute of Technology Jiangsu Suzhou215500 China

ISBN: (纸本)9781510668270

An ultra-short-term wind power prediction model independent of meteorological data is proposed to solve the problem that there are some wild farms do not have meteorological sensors. The model consists of a two-stream network module and an attention module, one stream is used to extract spatial and time series features, the other stream is used to extract temporal features;the features of the two streams are fused with the attention mechanism to get final feature. Finally, the dimension of the final feature is reduced by the fully connection layers to get ultra-short-time wind power prediction. The validity and practicability of the prediction model are proved by an example analysis of a wind farm in east China for one year, the accuracy of prediction is high, which also provides a strong support for making power generation plan and power dispatching in actual scenarios. © 2023 SPIE. All rights reserved.

关键词： Wind power

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