检索结果-内蒙古大学图书馆

IEEE International Conference on Mechatronics and Automation

作者： Hongjun Wang Shuyi Li Hui Zhao Youjun Yue Key Laboratory of Control Theory and Application for Complex Systems in Tianjin Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China College of Engineering and Technology Tianjin Agricultural University 22 Jinjing Road Tianjin China

Under certain conditions, the power system will produce chaotic oscillation, which may impact the safety and stability of the power grid. Under the action of inductive load, the power system will generate a certain amount of reactive power. Excessive reactive power will lead to the deviation of the voltage phase angle of the power system. Usually, reactive compensation equipment is used to absorb the reactive power in the power system and adjust the voltage phase angle. In this article, the dynamics analysis of chaotic oscillation of the second-order power system model (SOPSM) is firstly carried out, and a global adaptive sliding mode controller based on finite time is designed by comprehensively using backstepping, fixed-time controller and adaptive sliding mode control methods (ASM), which not only realizes the suppression of chaotic oscillation of the power system, but also reduces the computational burden and improves the convergence speed of the system, Finally, MATLAB/Simulink numerical simulation shows that the designed controller can quickly restore the power system from chaotic state to equilibrium state, thus verifying the effectiveness and efficiency of the controller.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimal Design of Laser SLAM Algorithm Based on RBPF improved resampling technology 17

Optimal Design of Laser SLAM Algorithm Based on RBPF improve...

引用

17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Wang, Hainan Ni, Jianyun Qi, Yong Zhao, Mingyang Tianjin University of Technology Tianjin Key Laboratory for Control Theory Applications in Complicated Systems China

ISBN: (纸本)9781728164151

Simultaneous Localization and Mapping (SLAM) has always been a fundamental and central issue for mobile robots. At present, Rao-Blackwellized particle filter (RBPF) is a practical method to solve the Simultaneous Localization and Mapping of robots. In order to improve the problem of lack of particles and lack of diversity in the traditional RBPF algorithm, an optimized laser SLAM algorithm is proposed. Minimum sampling-variance(MSV) resampling is used to improve the original resampling method, and improve the proposal distribution to make it closer to the target distribution. In this paper, simulation experiments are carried out on Matlab and ROS platforms, and the experimental results prove that the improved algorithm can effectively improve the positioning effect and the quality of mapping. © 2020 IEEE.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Research on Optical Power Attenuation Compensation Algorithm of φ-OTDR System

Research on Optical Power Attenuation Compensation Algorithm...

引用

IEEE International Conference on Mechatronics and Automation

作者： Yinhao Liu Baofeng Zhang Zhili Zhang Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems TianJin University of Technology No. 391 Binshuixi Road Tianjin CHINA Intelligent Manufacturing Institute TianJin Sino-German University of Applied Sciences No. 2 Yashen Road Tianjin CHINA

The $\varphi$-OTDR technology is an optical fibre sensing method that enables real-time monitoring of fibre vibrations by using optical time domain reflection technology. However, during the process of transmitting signals through optical fibres, the issue of optical power attenuation arises, which ultimately results in a reduction of the long-distance signal recognition ability of the $\varphi$-OTDR system. This paper presents an innovative optical power attenuation compensation technique that utilizes the $\varphi$-OTDR system to address the challenge of signal attenuation in optical fibre. The proposed solution enhances the long-distance recognition ability of weak signals. To solve the attenuation issue, the polynomial fitting method is used. A comparison between the system’s performance with and without a Raman amplifier is presented. To locate signals, mean square error and deviation from the average are utilized, while signal strength is determined by calculating the signal-to-noise ratio after fitting. This approach emphasizes precision in detecting relevant signals and optimizing system performance. The results show that the signal recognition ability of the $\varphi$-OTDR system improves significantly with the implementation of this compensation algorithm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Multi-Feature Fusion Based Pedestrian Detection Method 17

A Multi-Feature Fusion Based Pedestrian Detection Method

引用

17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Dong, Enzeng Jing, Cunlei Zhang, Zufeng Tianjin University of Technology Tianjin Key Laboratory for Control Theory Applications in Complicated Systems Tianjin China

ISBN: (纸本)9781728164151

This paper proposes an improved pedestrian detection algorithm, the Haar-like feature and Adaboost cascade classifier Histogram of Oriented Gradient (HOG) feature are utilizing to construct hybrid features library, then the weak classifiers in Adaboost are trained by using the combined hybrid features. And the strong classifiers are built based on the weak classifiers. In the proposed algorithm, For improving the detection speed, the HOG feature is rapidly calculated by integral histogram instead of gradient histogram features, and the experimental results showed that the method proposed improved the detection performance and detection accuracy of pedestrians. © 2020 IEEE.

关键词： Adaptive boosting

来源：评论

学校读者我要写书评

暂无评论

A High-Precision Edge Detection Algorithm Based on Improved Sobel Operator-Assisted HED

A High-Precision Edge Detection Algorithm Based on Improved ...

引用

IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Yeborui Yuan Wenyuan Chen Jie Tang Jia Yang School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China State Key Laboratory of Robotics Shenyang Institute of Automation Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

In response to the problem of poor detection performance of the traditional Sobel operator in edge detection, a high-precision edge detection algorithm based on Sobel operator-assisted Holistically-nested Edge Detection (HED) network was proposed, which is named ISAHED here. The algorithm is designed as follows. Firstly, an improved Sobel operator based on the traditional Sobel operator was proposed through adding gradient direction. Then, the image output by the improved Sobel operator is taken as the ground-truth image and as the end-to-end comparison object in a HED-like network. Finally, the ISAHED algorithm outputs edge images with better quality through iterative learning of the HED-like neural network. The experimental results prove that the proposed ISAHED algorithm has better edge detection performance by visually observing the final edge images and further evaluating the values of FOM. This work provides an important reference for the further development of the edge detection technology.

关键词： Automation Image edge detection Image processing Neural networks control systems Iterative algorithms Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Fault Location Based on Energy Relative Entropy 17

Fault Location Based on Energy Relative Entropy

引用

17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Zhao, Hui Wang, Lei Wang, Hongjun Yue, Youjun Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin300384 China

ISBN: (纸本)9781728164151

When wavelet transform and empirical mode decomposition(EMD) transform decompose the transient signal of line fault, the problem of missing some fault information will occur, which will affect the accuracy of fault location of distribution line. A new fault location method based on the relative entropy of variational mode decomposition (VMD) transformation energy is ***, the fault zero sequence current signal collected by the detection device is decomposed by VMD transformation, and the transient energy of different components of the signal is calculated. Then, according to the characteristics of energy relative entropy difference between the sections, the fault section of the line is determined. The experimental results show that the method is not affected by the distance of the fault, the initial phase angle of the fault and the transition resistance, and it can accurately locate the fault section of the line. © 2020 IEEE.

关键词： Variational mode decomposition

来源：评论

学校读者我要写书评

暂无评论

Occlusion Face Image Inpainting Method Based on Multi-scale and Contextual Attention

Occlusion Face Image Inpainting Method Based on Multi-scale ...

引用

Chinese Automation Congress (CAC)

作者： Chen Wang Enzeng Dong Sen Yang Tianjin Key Laboratory For Control Theory & Applicationsin Complicated Systems Tianjin University of Technology Tianjin China

ISBN: (纸本)9781665426480

In order to solve the common issues of unclear repaired images and incoherent semantics in occluded face image inpainting, we propose a two-stage generation network that combines multi-scale joint and contextual attention. The first stage of the network uses a multi-scale parallel encoder-decoder to obtain preliminary inpainting results, and the second stage uses the context attention module to refine the inpainting details. Based on the idea of generating adversarial networks (GAN), we introduced a global&local discriminator to maintain the consistency of global and local content. Apart from the adversarial loss caused by GAN, our method also combines spatial attenuation reconstruction loss and a similar Markov random fields loss for training to further enhance the quality of the produced images. A large number of experiments on the CelebA and CelebA-HQ face datasets show that our method can obtain a relatively good inpainting effect.

关键词： Training Automation Face recognition Semantics Generative adversarial networks Visual effects Attenuation

来源：评论

学校读者我要写书评

暂无评论

Discrete sliding mode repetitive control based on parabola approach law 17

Discrete sliding mode repetitive control based on parabola a...

引用

17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Jia, Chao Gao, Xuewei Wei, Jiaqi He, Haocheng Tianjin University of Technology Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjiin300384 China

ISBN: (纸本)9781728164151

According to the characteristics of parabola function, a new discrete-time sliding mode repetitive control method based on parabola approach law is proposed for the periodic trajectory tracking of uncertain discrete-time systems in modern industrial production. The discrete sliding mode controller based on parabola approach law can effectively suppress chattering, and the discrete sliding mode repetitive controller based on ideal switching dynamics can solve the problem of periodic disturbance. The convergence characteristics of parabola approach law are analyzed, including absolute convergence layer, monotone convergence layer and steady-state error band, which are used to describe the dynamic performance of system error under different parameters. The simulation results verify the effectiveness of the proposed control method. © 2020 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

Rotation forest based on multimodal genetic algorithm

引用

Journal of Central South University 2021年第6期28卷 1747-1764页

作者： XU Zhe NI Wei-chen JI Yue-hui School of Electrical and Electronic Engineering Tianjin University of TechnologyTianjin 300384China Academic Affairs Office Tianjin University of TechnologyTianjin 300384China Tianjin Key Laboratory for Control Theory&Applications in Complicated Industry Systems Tianjin 300384China

In machine learning,randomness is a crucial factor in the success of ensemble learning,and it can be injected into tree-based ensembles by rotating the feature ***,it is a common practice to rotate the feature space ***,a large number of trees are required to ensure the performance of the ensemble *** random rotation method is theoretically feasible,but it requires massive computing resources,potentially restricting its applications.A multimodal genetic algorithm based rotation forest(MGARF)algorithm is proposed in this paper to solve this *** is a tree-based ensemble learning algorithm for classification,taking advantage of the characteristic of trees to inject randomness by feature ***,this algorithm attempts to select a subset of more diverse and accurate base learners using the multimodal optimization *** classification accuracy of the proposed MGARF algorithm was evaluated by comparing it with the original random forest and random rotation ensemble methods on 23 UCI classification *** results show that the MGARF method outperforms the other methods,and the number of base learners in MGARF models is much fewer.

关键词： ensemble learning decision tree multimodal optimization genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

An Improved Object Tracking Algorithm Combining LCT Kernel Correlation Filtering and Kalman Prediction

An Improved Object Tracking Algorithm Combining LCT Kernel C...

引用

Chinese Automation Congress (CAC)

作者： Fuqiang Li Enzeng Dong Sen Yang Tianjin Key Laboratory For Control Theory & Applicationsin Complicated Systems Tianjin University of Technology Tianjin China

ISBN: (纸本)9781665426480

In the process of long-time object tracking based on LCT, aiming at the problems of re detection after tracking failure in the case of scale change, background similar interference and severe occlusion, the paper presents a better algorithm based on the combination of LCT kernel correlation filter and Kalman prediction. The Kalman filter is introduced into the re detection module of LCT. When the object tracking fails, the Kalman filter is used to predict the position of the object in the current frame before the re detection. Compared with the original algorithm, it avoids the whole frame image traversal search, reduces the search range of the object, and lower the interference of similar objects in the background. The experimental results show that the improved LCT algorithm has better accuracy and rapidity, and has better tracking performance in the case of object occlusion.

关键词： Target tracking Correlation Filtering Interference Filtering algorithms Prediction algorithms Search problems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：