检索结果-内蒙古大学图书馆

International Joint Conference on Neural Networks

作者： Guoyou Li Xin Wang Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University

ISBN: (纸本)9781479914821

The PID neural network was introduced into the control of the robot for image-based binocular visual servo control system with hand-eye model, and a controller was designed which combined the PI motion controller with the PID neural network controller in this paper. PI motion controller gives the desired velocity of the robot joints based on the image errors, and obtains the joint torque from the neural network PID controller. And the torque drives the robot reaching a desired position and orientation. The Lyapunov theory is used to prove asymptotic stability of the PI motion controller. And we compared the tracking performance of BP neural network with PID neural network. Simulation results show the effectiveness of this method.

关键词： Visual servoing Binocular vision model PID neural network

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Sliding Mode controller Design for Active Suspension Systems with Load Variation

Fuzzy Sliding Mode Controller Design for Active Suspension S...

引用

第六届工程机械与车辆工程新进展国际学术会议

作者： S.Liu Z.G.Wang Y.P.Zhang Z.J.Lin Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University

This paper mainly investigates the fuzzy sliding mode control of 1/4 vehicle suspension ***,the dynamical model of suspension system with uncertainty is established for the time-varying of

关键词：

来源：评论

学校读者我要写书评

暂无评论

Model based reinforcement learning for robot grasping trajectory generation 4

Model based reinforcement learning for robot grasping trajec...

引用

4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019

作者： Xue, Hongxiang Wen, Shuhuan Yang, Chao Liu, Huaping Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and System Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing100084 China

ISBN: (纸本)9781728100647

Trajectory generation is a fundamental problem for successful robotic grasping. However, most of the existing work dealt with this problem using supervised learning with a prescribed model. It prevents the developed grasp strategies from being used for new unknown scenarios. In this paper, inspired by the success of the reinforcement learning method, we developed a new method which optimizes grasp trajectories using a policy search method. An important advantage of the proposed method is that the complicated 3D model could be used to generate the multi-dimensional grasp configurations. The developed algorithm has been validated on some typical robotic hand. The experimental results show that the proposed method achieves excellent performance. © 2019 IEEE.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

Contragan-Acl:Contrastive Learning for Image-to-Image Translation with Adversarial Comsistency Loss

SSRN

引用

SSRN 2022年

作者： Li, HaiBing ChengXin, Liang Li, YaQian School of Industrial Computer Control Engineering Yanshan University China Key Laboratory of Industrial Computer Control Engineering of Hebei Yanshan University China

Generative adversarial networks (GANs) are a hot research topic recently. So unsupervised image-to-image translation become a central task in computer vision. In this paper, we propose contrastive learning training strategy that obtain more significant features of true and false samples to improve the ability of distinguishing true and false samples. Then we design adversarial consistency loss that the generator and discriminator are added to the reconstruction process to further deal with the details and texture of the generated image to stabilize training strategy. Experiments on CelebA-HQ and a AFHQ,the FID score about reduce by more than 10% and LPIPS score increase by 10%. © 2022, The Authors. All rights reserved.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

PSO algorithm-based schedule optimization for tandem cold mills

PSO algorithm-based schedule optimization for tandem cold mi...

引用

IEEE International Conference on Automation and Logistics

作者： Haijun Che Qing Zhang Jingming Yang Xinyan Han Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University슠 Hebei China

ISBN: (纸本)9781424447947

The cold rolling production scheduling problem is an extremely difficult process, so it is quite difficult to achieve an optimal solution with traditional optimization methods. Based on rolling feature of continuous tandem cold rolling mill, such as multi-variable, strong coupling, non-linear, this paper presents a particle swarm optimization (PSO) algorithm schedule optimization procedure for tandem cold rolling mills, base to computer powerful data processing capacity. Adopt the power distribution cost function as objective function, make the rolling force, rolling power, rolling torque, speed and other parameters meet certain requirement. Sequential unconstrained minimization technique (SUMT) replaces a constrained optimization problem with a sequence of unconstrained optimization problem. Apply PSO algorithm to optimize the objective function to obtain the optimal solution. It makes the reasonable distribution of tandem cold rolling power, gives full play to equipment capacity and improves the production efficiency.

关键词： Scheduling algorithm Optimal scheduling Milling machines Production Constraint optimization Optimization methods Particle swarm optimization Processor scheduling Data processing Power distribution

来源：评论

学校读者我要写书评

暂无评论

Reliability Optimization of Multi-state Hydraulic System Based on T-S Fault Tree and Extended PSO Algorithm

引用

IFAC Proceedings Volumes 2013年第5期46卷 463-468页

作者： Chengyu Yao Bin Wang Dongning Chen Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China (Tel: ***) Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Qinhuangdao China Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University) Ministry of Education of China Qinhuangdao China

In order to overcome the difficulty of constructing the multi-state system's reliability optimization model, and the shortage of premature convergence of PSO (Particle Swarm Optimization) algorithm, a new reliability optimization method based on T-S fault tree and EPSO (Extended PSO) algorithm is proposed. According to the T-S fault tree and T-S rules of the events, the multi-state system reliability optimization model is constructed, at the same time, given constraint conditions on the system cost, weight and volume, and combined with the death penalty to construct the fitness function. Furthermore, EPSO algorithm based on the attraction and repulsion forces in the artificial physics is applied to the reliability optimization of multi-state hydraulic system. Comparing with PSO algorithm, the results of EPSO algorithm are in a better performance in obtaining global optimal solution.

关键词： Hydraulic system Reliability optimization Multi-state T-S fault tree EPSO algorithm

来源：评论

学校读者我要写书评

暂无评论

control strategy and experimental research on girder hoister steering system based on RBF neural network PID

Control strategy and experimental research on girder hoister...

引用

9th International Conference on Electronic Measurement and Instruments, ICEMI 2009

作者： Bingyu, Sun Jingyi, Zhao Zhiyong, Wang Chengyu, Yao Rui, Guo Hebei Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Qinhuangdao 066004 China Qinhuangdao Tianye Tolian Heavy Industry Co. Ltd. Qinhuangdao 066100 China Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

ISBN: (纸本)9781424438624

n order to meet the needs of construction of high-speed railway passenger dedicated line, 900t rubber-tyred girder hoister is researched and manufactured. Steering system of the hoister is controlled by electro-hydraulic proportional displacement control system, and segment-PID control strategy with dead zoon is used. However with the passage of time, steering performance of girder hoister begin to get worse and worse. Then, valve control cylinder model, equilibrium equation of the steering actuator and system model is built up. Through analyzing and referring advantage of the neural network, one kind of steering control strategy based on RBF neural network PID is presented. Based on similarity principle, this control strategy is used in the steering system of 100t ship yard transporter. The experiment has been lasted 3 months, and the result shows that the system settling time reduced by 5%, over shoot doesn't change, and performance doesn't get worse. Validity of the control strategy is validated. ©2009 IEEE.

关键词： Three term control systems

来源：评论

学校读者我要写书评

暂无评论

Reliability Prediction Method of Hydraulic System by Fuzzy Theory

引用

IFAC Proceedings Volumes 2013年第5期46卷 457-462页

作者： Dongning Chen Chengyu Yao Zhongkui Feng Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control Yanshan University Qinhuangdao China (Tel: ***) Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University) Ministry of Education of China Qinhuangdao China Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

The hydraulic system's reliability is a key factor to ensure the reliable operation of equipment and it is very important to evaluate reliability of hydraulic system. The paper describes a reliability prediction method that may be used to evaluate the reliability of hydraulic systems for industrial applications. The proposed method takes advantage of fuzzy set theory. The aim of this method is to minimize the deficiencies of the traditional reliability prediction methods treating a failure rate as fixed value due to insufficiency practice data. Triangular fuzzy number and Gaussian fuzzy number are used in the application of this prediction method, where environmental factor, derating factor, and other factors are considered. Finally, an example of type crane's hydraulic system is given to verify the feasibility and practicability of the method.

关键词： Type crane Hydraulic system Reliability prediction Fuzzy theory Reliability logic diagram

来源：评论

学校读者我要写书评

暂无评论

A Novel Fuzzy Model Identification Approach Based on FCM and Gaussian Membership Function

A Novel Fuzzy Model Identification Approach Based on FCM and...

引用

Chinese control Conference (CCC)

作者： Yaxue Ren Jinfeng Lv Fucai Liu Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

To solve the problem of fuzzy identification of nonlinear systems, a novel fuzzy identification method based on fuzzy c-means clustering (FCM) algorithm and Gaussian function is proposed. Firstly, fuzzy clustering algorithm is used to divide the input space to obtain the clustering center, then the clustering center is used as the gaussian function center to determine the membership function to obtain the premise parameters of the fuzzy model, and the conclusion parameters of the fuzzy model are identified by recursive least squares (RLS). Finally, three simulation examples are given to verify the effectiveness of the proposed method in identifying T-S fuzzy model.

关键词： Mathematical model Clustering algorithms Matrices Input variables Marine vehicles Partitioning algorithms MISO communication

来源：评论

学校读者我要写书评

暂无评论

Expression recognition algorithm based on local and global feature reconstruction residuals

Expression recognition algorithm based on local and global f...

引用

International Conference on Information Science and control engineering (ICISCE)

作者： Yaqian Li Ya Lei Chao Wu Haibin Li Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

In this paper, an algorithm is proposed to improve expression recognition by combining reconstructed residuals of local and global information. Firstly, positional relation is introduced into local binary features encoding, and a non-negative matrix decomposition method with sparse correlation constraints is employed to perform reducing of dimension. Then, the features are encoded by bag-of-words model to form local features. Secondly, a discrete wavelet transform is used to emphasis on expression information and extract expression-enhanced global features. Thirdly, collaboration Represents is used to calculate local partial reconstruction residuals and is combined with global reconstruction residuals to construct the final residual to be classified at the decision level. Experiments on Jaffe, TEFID and CK+ data sets prove the effectiveness of the proposed algorithm.

关键词： Information science Correlation control engineering Transforms Feature extraction Encoding Classification algorithms

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：