检索结果-内蒙古大学图书馆

International Conference on Instrumentation, Measurement, computer, Communication and control (IMCCC)

作者： Zi Zhang Xinbin Li Zhixin Liu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Hebei China

ISBN: (纸本)9781467377249

In this paper, the problem of hierarchical cooperative spectrum sensing using double thresholds energy detector over imperfect reporting channels will be investigated. When taking error effect on reporting decision into consideration, the sensing performance will be affected. In the proposed scheme, we analyze the performance of hierarchical cooperative spectrum sensing over imperfect reporting channels and the "majority-decision-aided" weighting rule will be used in the fusion center. The analysis and simulation results show that there is a significant performance loss when the decisions based on hierarchical spectrum sensing are transmitted over imperfect reporting channels and the sensing performance is improved by employing the new weighting rule.

关键词： Sensors Cognitive radio Signal to noise ratio computers Propagation losses Reliability Fading channels

来源：评论

学校读者我要写书评

暂无评论

Robust Iterative Learning control of Single-phase Grid-connected Inverter

引用

International Journal of Automation and computing 2014年第4期11卷 404-411页

作者： Zhong-Qiang Wu Chun-Hua Xu Yang Yang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

For the single phase inductance-capacitance-inductance(LCL) grid-connected inverter in micro-grid, a kind of robust iterative learning controller is designed. Based on the output power droop characteristics of inverter, the current sharing among the inverters is achieved. Iterative learning strategy is suitable for repeated tracking control and inhibiting periodic disturbance, and is designed using robust performance index, so that it has the ability to overcome the uncertainty of system parameters. Compared with the repetitive control, the robust iterative learning control can get high precision output waveform, and enhance the tracking ability for waveform, and the distortion problem of the output signal can be solved effectively.

关键词： Inductance-capacitance-inductance (LCL) filter iterative learning robust control power droop-characteristics repetitive control

来源：评论

学校读者我要写书评

暂无评论

Hydraulic System Reliability Modelling and Analysis Based on Convex Model Bayesian Network

Hydraulic System Reliability Modelling and Analysis Based on...

引用

2015 International Conference on Fluid Power and Mechatronics

作者： Dongning Chen Yuliang Zhang Chengyu Yao Shijun Lv Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University

Compared with the probabilistic method, the nonprobabilistic convex model only requires a small number of samples and experiences to obtain the variation bounds of the ambiguous and imprecise parameters, and whereby makes the reliability analysis very convenient. In this paper, hydraulic lifting system reliability model is established and the reliability of the system is analyzed by convex model Bayesian network, then the reliability indices are described in the form of interval parameters. Using ellipsoid model to constrain interval model, the more accurate reliability indices are obtained. Finally the convex model Bayesian network is compared with traditional Bayesian network. All the reliability indices obtained by convex model Bayesian network provide the basis for condition-based maintenance, fault diagnosis and reliability design.

关键词： reliability analysis hydraulic system Bayesian network convex model

来源：评论

学校读者我要写书评

暂无评论

Hydraulic System Reliability Modelling and Analysis Based on Convex Model Bayesian Network

Hydraulic System Reliability Modelling and Analysis Based on...

引用

International Conference of Fluid Power and Mechatronics

ISBN: (纸本)9781479987719

Compared with the probabilistic method, the non-probabilistic convex model only requires a small number of samples and experiences to obtain the variation bounds of the ambiguous and imprecise parameters, and whereby makes the reliability analysis very convenient. In this paper, hydraulic lifting system reliability model is established and the reliability of the system is analyzed by convex model Bayesian network, then the reliability indices are described in the form of interval parameters. Using ellipsoid model to constrain interval model, the more accurate reliability indices are obtained. Finally the convex model Bayesian network is compared with traditional Bayesian network. All the reliability indices obtained by convex model Bayesian network provide the basis for condition-based maintenance, fault diagnosis and reliability design.

关键词： Reliability analysis Hydraulic system Bayesian network Convex model

来源：评论

学校读者我要写书评

暂无评论

Two-Stage Force Particle Swarm Optimization Algorithm and Application in Hydraulic System Reliability Optimization

Two-Stage Force Particle Swarm Optimization Algorithm and Ap...

引用

2015 International Conference on Fluid Power and Mechatronics

作者： Chengyu Yao Xueyun Tan Dongning Chen Shijun Lv Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University

In view of the particle swarm optimization(PSO) algorithm's shortages of easily trapping into local optimum and premature convergence, an improvement research from the perspective of interaction mechanism among particles is made in this paper. Consider advantages and disadvantages of the current improved PSO algorithms from the aspect of force, the two-stage force particle swarm optimization(TFPSO) algorithm is proposed. The proposed algorithm, which employs staged search strategy to achieve a trade-off between global exploration and local exploitation abilities, divides search process into two stages and constructs corresponding force rules combining with the idea of attractive and repulsive forces in artificial physics. In order to demonstrate the performance of the proposed algorithm in solving optimization problems, TFPSO algorithm is compared with some well-known PSO algorithms in reliability optimization for hydraulic system. Comparison results show that TFPSO algorithm obtains the best optimization results and enhances the performance of PSO in terms of accuracy of the optimal solution and local search ability.

关键词： PSO algorithm force rule TFPSO algorithm reliability optimization hydraulic system

来源：评论

学校读者我要写书评

暂无评论

Two-stage force particle swarm optimization algorithm and application in hydraulic system reliability optimization

Two-stage force particle swarm optimization algorithm and ap...

引用

International Conference on Fluid Power and Mechatronics (FPM)

作者： Chengyu Yao Xueyun Tan Dongning Chen Shijun Lv Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China Key Lab of Heavy Machinery Fluid Power Transmission and Control of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9781479987719

In view of the particle swarm optimization (PSO) algorithm's shortages of easily trapping into local optimum and premature convergence, an improvement research from the perspective of interaction mechanism among particles is made in this paper. Consider advantages and disadvantages of the current improved PSO algorithms from the aspect of force, the two-stage force particle swarm optimization (TFPSO) algorithm is proposed. The proposed algorithm, which employs staged search strategy to achieve a trade-off between global exploration and local exploitation abilities, divides search process into two stages and constructs corresponding force rules combining with the idea of attractive and repulsive forces in artificial physics. In order to demonstrate the performance of the proposed algorithm in solving optimization problems, TFPSO algorithm is compared with some well-known PSO algorithms in reliability optimization for hydraulic system. Comparison results show that TFPSO algorithm obtains the best optimization results and enhances the performance of PSO in terms of accuracy of the optimal solution and local search ability.

关键词： Force Reliability Optimization Particle swarm optimization Hydraulic systems Convergence Fault trees

来源：评论

学校读者我要写书评

暂无评论

Prediction of chaotic time series based on interval type-2 T-S fuzzy system

引用

Journal of Computational Information Systems 2014年第13期10卷 5403-5412页

作者： Wang, Shu'en Dou, Jinmei Liu, Yan Liu, Fucai Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

Fuzzy model based chaotic time series prediction has been extensively studied. However, traditional type-1 fuzzy system, whose membership functions are type-1 fuzzy set, has its limitation in handling uncertainties. Type-2 fuzzy system, whose membership functions are type-2 fuzzy set, has more adaptable parameters and design degree of freedom, making it more powerful in dealing with nonlinear and uncertain problems. In this paper, the interval type-2 fuzzy system, whose fuzzy space is divided by mesh diagonal method and consequent parameters are adapted by the forgetting factor recursive least square method while previous parameters remain unchanged, is applied to modeling and prediction of chaotic time series. Finally, the proposed scheme is tested by prediction of Mackey-Glass chaotic time series in case of noise free and noise condition, the simulation results show that the proposed scheme has a higher prediction accuracy and is powerful in handling uncertainties. © 2014 by Binary Information Press

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Robust H-infinity space vector model of permanent magnet synchronous motor based on genetic algorithm

引用

Journal of Computational Information Systems 2014年第14期10卷 5897-5905页

作者： Zang, Huaiquan Qin, Zhe Dai, Yan Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical and Engineering Yanshan University Qinhuangdao China

A robust H-infinity controller based on genetic algorithm optimization is designed for space vector control model of permanent magnet synchronous motor to improve the speed of tracking performance. A space vector control model of the system has been formed, and a quadrature-axis current loop transfer function based on a dynamic mathematical model of motor combined with decoupling technology is established. In order to obtain a good dynamic performance, the selection of the weighting function uses genetic algorithm to optimize in the process of designing the robust H-infinity. Simulation and analysis results show that the robust controller that based on genetic algorithm effectively improves the tracking performance and robustness of the system. © 2014 by Binary Information Press

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Distributed edge control for multi-agent based on binocular vision system

引用

Journal of Computational Information Systems 2014年第7期10卷 2907-2915页

作者： Shao, Nuan Li, Huiguang Zou, Liying Liu, Le Key Lab. of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China

For multiple Lagrange systems, the objective of distributed edge control problem is to drive all the followers converge to the edge of the convex hull spanned by the leaders. In this approach, we choose binocular vision system as sensing devices. Firstly, a pseudo-stereo visual model is proposed based on the concept of depth information sensitivity which can be used to provide the generalized coordinates of the leaders for all followers in the image coordinate system. Then, based on this new model, a distributed adaptive control algorithm is designed to compensate for the parametric uncertainties under a directed graph. Finally, the proposed control algorithm is applied to the multi-manipulators grasping control, simulation examples are provided to show the effectiveness of the controller. © 2014 Binary Information Press.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Fuzzy dynamic output-feedback control for markov jump fuzzy bilinear system

引用

ICIC Express Letters, Part B: Applications 2015年第10期6卷 2883-2890页

作者： Chang, Ru Fang, Yiming Liu, Le Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electric Engineering Yanshan University China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling No. 438 Hebei Ave QinhuangdaoP.R China

Fuzzy dynamic output-feedback control problem is investigated for a class of fuzzy bilinear systems with Markovian jumping parameters. The transition probability matrix is assumed to be partly unknown. Based on Takagi-Sugeno (T-S) fuzzy bilinear model, a nonlinear dynamic output-feedback controller is first constructed, and in terms of linear matrix inequalities techniques, the sufficient conditions on the stochastic stability of the closed-loop fuzzy bilinear jump system are presented and proved. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method. ©, 2015 ICIC Express Letters *** Rights Reserved.

关键词： Fuzzy control

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：