检索结果-内蒙古大学图书馆

2019 International Conference on Artificial Intelligence and computer Science, AICS 2019

作者： Cheng, Xiaoyan Dong, Yahui Wang, Hongbin Wang, Qinzhao Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China Weapon and Control Department Army Academy of Armored Forces Beijing100072 China

ISBN: (纸本)9781450371506

In this paper, a PD-type iterative learning control method is proposed for a class of nonlinear discrete networked control systems with measurement signal and control signal data dropouts. Proportional and differential items of the error signal are employed in this method to modify the current control signal, which takes full advantage of the historical error signals. The data dropout is described as a stochastic and independent Bernoulli process with a given probability. In addition, the zero-order holding method is introduced at the data receivers of the controller and actuator. Finally, the stability analysis and simulation results are performed to verify the convergence and effectiveness of the proposed method. © 2019 Association for Computing Machinery.

关键词： Networked control systems

来源：评论

学校读者我要写书评

暂无评论

An Improved Hybrid Aquila Optimizer and Pigeon-Inspired Optimization Algorithm with Its Application in PID Parameter Optimization 8

An Improved Hybrid Aquila Optimizer and Pigeon-Inspired Opti...

引用

8th International Symposium on computer Science and Intelligent control, ISCSIC 2024

作者： Chen, Dongning Du, Xinwei Wang, Haowen Xian, Qinggui Sha, Jianhao Yao, Chengyu Yanshan University School of Mechanical Engineering Qinhuangdao China Yanshan University Hebei Key Laboratory of Industrial Computer Control Engineering Qinhuangdao China

ISBN: (纸本)9798350380286

To improve the optimization performance of the standard Aquila Optimizer (AO), an Improved Hybrid Aquila Optimizer and Pigeon-Inspired Optimization (IHAOPIO) algorithm based on stochastic balancing factor and Dimension-by-dimension Centroid Opposition-Based Learning (DCOBL) strategy is proposed. Wilcoxon test is introduced to statistically analyze the data of six classical benchmark functions. Compared with several other optimization algorithms, the proposed IHAOPIO algorithm has better optimization capability in accuracy. The improved algorithm is used to the PID parameter optimization of one electro-hydraulic position servo system and achieves good control effect. © 2024 IEEE.

关键词： Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

A TCN-Transformer Model of Acceleration Prediction for Preceding Vehicle in CACC Systems 8

A TCN-Transformer Model of Acceleration Prediction for Prece...

引用

8th CAA International Conference on Vehicular control and Intelligence, CVCI 2024

作者： Tang, Wenzhao Tang, Wenbin Jiao, Xiaohong Zhang, Yahui Zhang, Dongxue Hebei Key Laboratory of Industrial Computer Control Engineering Yanshan University Hebei Province Qinhuangdao066004 China School of Mechanical Engineering Yanshan University Qinhuangdao066004 China

ISBN: (纸本)9798331504892

This study establishes an acceleration prediction model of the preceding vehicle tailored for cooperative adaptive cruise control (CACC) systems that address the common challenges posed by V2V communication delays or no communication from the preceding vehicle. The designed model integrates a temporal convolutional network (TCN) with the Transformer architecture block to create a sophisticated mechanism for temporal data analysis. This integration leverages the strengths of TCN in capturing spatial features and the multi-attention mechanism of Transformers to enhance the recognition of long-term dependencies in the time series of data. The synergy between these techniques not only effectively narrows the identification gap between short-term and long-term dependencies but also helps to process spatial information for accurate time-series prediction, significantly improving prediction accuracy. Simulations using the NGSIM dataset confirm the model's prediction performance over the traditional model. Further, the potential of the method to solve the communication delay problem is verified, highlighting the effectiveness of TCN and Transformer multi-attention mechanism in improving the CACC capability. © 2024 IEEE.

关键词： Adaptive cruise control

来源：评论

学校读者我要写书评

暂无评论

A Measurement System for Railgun Test

引用

Defence Technology（防务技术） 2010年第2期6卷 150-154页

作者：王振春刘福才李惠光 Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

A measurement system was designed to measure the railgun's parameters in launching process,which includes Rogowski coil sensor for measuring rail's current,B-dot probe for obversing projectile's velocity in bore,net target for catching muzzle velocity,signal condition circuit and high-speed data acquisition card for analyzing and storing *** software was also developed in WINDOWS operational environment via modularized *** designed sensors and test software were successfully used in a practical electromagnetic railgun system to monitor the process of *** test results indicate that the state of launching can be intuitively observed and the parameters are accurately acquired and *** software design method can shorten the development cycle,enhance the system's flexibility and provide the interface for the secondary *** system shows great *** is an effective and practical measurement platform for further research on the electromagnetic launch system.

关键词： electronics railgun measurement system Rogowski coil B-dot probe data acquisition

来源：评论

学校读者我要写书评

暂无评论

Backstepping Sliding Mode control for Continuous Casting Mold Vibration Displacement System Driven by Servo Motor 36

Backstepping Sliding Mode Control for Continuous Casting Mol...

引用

第36届中国控制会议

作者： LI Jianxiong GUO Cui FANG Yiming ZHANG Qiyu Key Lab of Industrial Computer Control Engineering of Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling

ISBN: (纸本)9781538629185

Aiming at the time-varying load torque disturbance in the vibration displacement system of continuous casting mold driven by servo motor,an extended state observer(ESO) based backsteppmg sliding mode control method is ***,a mapping function is established to deal with the non-uniqueness of the nonlinear inverse relationship from eccentric shaft angle to mold ***,an ESO is constructed to estimate the time-varying load torque,and the estimate of load torque is employed to compensate the disturbance in *** a backsteppmg sliding mode controller is then developed for the vibration displacement system of continuous casting mold,which can guarantee the asymptotical stability and the robust stability of the resulting closed-loop ***,simulation results are given to show the effectiveness of the proposed method.

关键词： servo motor drive system vibration displacement system extended state observer backstepping sliding mode control

来源：评论

学校读者我要写书评

暂无评论

Object Tracking Method Based on SURF

Object Tracking Method Based on SURF

引用

2012 Conference on Modelling, Identification and control (MIC2012)

作者： Hu Shuo Wu Na Song Huajun Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical EngineeringYanshan University Key Lab of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical EngineeringYanshan University Institute of Information and Control Engineering China University of Petroleum(East China)

ISBN: (纸本)9781627483766

An object tracking algorithm based on SURF is presented in this *** points are detected by SURF detector in reference region which is located in the first frame *** the following sequences,the SURF feature points are extracted in a larger window which is selected as test *** the matching stage,we calculate the Euclidean distance between the descriptor vectors of interest points in the test image and ones in the reference *** proposed algorithm is implemented on an embedded platform with TI's DM6446 high performance *** experimental results show that our system implements a real-time tracking with robustness against appearance variations,scale change,and cluttered scenes.

关键词： Object track SURF descriptor feature detection DM6446

来源：评论

学校读者我要写书评

暂无评论

Improved Teaching-Learning-Based Optimization algorithms for function optimization 11

Improved Teaching-Learning-Based Optimization algorithms for...

引用

11th International Conference on Natural Computation, ICNC 2015

作者： Li, Xia Niu, Peifeng Li, Guoqiang Liu, Jianping Hui, Huihui Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066000 China College of Mathematics and Information Technology Hebei Normal University of Science and Technology Qinhuangdao066000 China

ISBN: (纸本)9781467376792

The Teaching-Learning-Based Optimization(TLBO) algorithm does not require special parameters setting for working the algorithm, but there are some shortcomings such as slow convergence speed and long running time. Therefore, some improvements have been done on the TLBO algorithm in the paper. Firstly, the population initialization of the TLBO algorithm is random, which does not ensure the uniform distribution of initial solutions in the solution space, and then it will affect the algorithm's efficiency to some extent. Therefore, the paper proposes opposing-based learning to initialize and renewal the population of the TLBO algorithm. Secondly, to efficiently speed up the convergence speed of the algorithm, a linear decreasing inertia weight (DIW) strategy and two nonlinear DIW strategies (a parabola opening upwards and a parabola opening downwards curve) are combined with the TLBO respectively. Finally, improved TLBO algorithms have been evaluated by 13 benchmark functions. The experimental results show that improved TLBO algorithms have much better optimization performances than the TLBO algorithm on most benchmark functions. © 2015 IEEE.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Open-closed Loop ILC Corrected with Angle Relationship of Output Vectors for Tracking control of Manipulator

引用

自动化学报 2010年第12期36卷 1758-1765页

作者： WANG Hong-Bin WANG Yan Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan UniversityQinhuangdao 066004P.R.China

In the research of iterative learning control (ILC), it is usually assumed that the initial states are consistent with the desired states or the initial states are fixed per iteration. By considering the problem that ILC law is difficult to apply to the tracking control for the manipulator under the restriction of initial states, we change the dynamic model of the manipulator system into a lower-order system by reduced-order transformations. For the transformed manipulator system, an open-closed loop ILC algorithm with angle correction term is proposed, which uses the error signal and the deviation of two adjacent error signals to adjust itself. Compared with traditional P-type algorithm, this algorithm makes better use of the saved and current information; while compared with PD-type algorithm, it overcomes the instability caused by the derivative action. Meanwhile, the angle relationship of output vectors is used as a standard to estimate the quality of the control inputs, “awarding or punishing” the changing trend of the algorithm. So, a fast convergence speed and excellent tracking effect are both realized. Improved strategies are proposed for the above algorithm when the limitation of each joint rotating angle is considered. Finally, the simulation results verify the effectiveness of the control scheme.

关键词： ILC 自动化跟踪控制仿真

来源：评论

学校读者我要写书评

暂无评论

MPC-Based Trajectory Tracking control Strategy Incorporating Autonomous Lane-Changing Mechanism for Intelligent Vehicles 8

MPC-Based Trajectory Tracking Control Strategy Incorporating...

引用

8th CAA International Conference on Vehicular control and Intelligence, CVCI 2024

作者： Zhang, Dongxue Liu, Huiwen Jiao, Xiaohong Zhang, Ting Yanshan University Hebei Key Laboratory of Industrial Computer Control Engineering Hebei Province Qinhuangdao066004 China School of Vehicle and Mobility Tsinghua University Beijing China

ISBN: (纸本)9798331504892

Navigating the intricate traffic environment, lane-changing has emerged as a frequent and essential driving maneu-ver for intelligent vehicles. However, it is challenging to guarantee the safety of the intelligent vehicle and the trajectory tracking accuracy against the external environment during lane-changing. Considering these challenges to overcome, the model predictive control (MPC)-based trajectory tracking strategy incorporating an autonomous lane-changing mechanism is proposed in this paper. The autonomous lane-changing mechanism considering lane-changing intention is proposed to ensure that the intelligent vehicle generates safe lane-changing decisions and trajectories. Subsequently, the MPC strategy that considers the physical char-acteristics of the intelligent vehicle is proposed to guarantee the accuracy and smoothness of trajectory tracking. The validation of its effectiveness and advantages is established on the PreScan and MATlab/Simulink co-simulation platforms. © 2024 IEEE.

关键词： Predictive control systems

来源：评论

学校读者我要写书评

暂无评论

Optimal Time and Power Allocation in Full-Duplex Wireless-Powered Cognitive Radio Networks 13

Optimal Time and Power Allocation in Full-Duplex Wireless-Po...

引用

13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Feng, Zhenyu Su, Ming Zhou, Meihua Liu, Zhixin School of Electrical Engineering Yanshan University Qinhuangdao066004 China Training Center of Liren College Yanshan University China Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China

ISBN: (纸本)9798350315196

In this paper, we integrate wireless powered communication networks (WPCNs) with cognitive radio networks (CRNs) in order to develop wireless powered CRNs (WP-CRNs). The hybrid access point (HAP) is used to broadcast radio-frequency signals to the devices at the downlink stage, and to receive information from these devices. The HAP has two antennas to achieve full-duplex: one is for downlink wireless power transfer and the other is for receiving uplink information transmission from the users simultaneously in the uplink. In the underlay paradigms. The SUs can harvest energy to transmit data when the interference to primary users (PUs) does not exceed a tolerable threshold. To tackle the above network issues, an optimal resource allocation method is proposed to maximize the secondary system uplink throughput. The optimization problem with respect to time and power allocation is formulated including the constraint of energy causality and interference level. The non-convex problem is transformed into an equivalent convex optimization problem, then the joint optimal power and time allocation (JOPTA) algorithm is presented to determine the optimal solutions. The effectiveness of the proposed algorithm is verified in the simulations. © 2023 IEEE.

关键词： Cognitive radio

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：