检索结果-内蒙古大学图书馆

10th International Conference on Power and Energy Systems, ICPES 2020

作者： Ding, Jianhua Zhang, Tao Tao, Ran Wang, Anna Northeastern University College of Information Science and Engineering Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Electrical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781665404945

Based on the analysis of the permanent magnet synchronous motor (PMSM) mathematical model, a PMSM rotor field-oriented double closed-loop vector control system is constructed. Aiming at the defects of slow speed response, large overshoot, severe torque ripple, and poor anti-disturbance ability in the traditional PI controller used in the system speed loop, a fuzzy PI parameter self-tuning controller is proposed. The controller can set the two parameters of proportional and integral online according to fuzzy control rules. The system simulation model is built based on Matlab/Simulink. The simulation results show that the fuzzy PI parameter self-tuning controller has the advantages of fast dynamic response, high steady-state precision and strong anti-disturbance capability. © 2020 IEEE.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Self-Interference Cancellation Based Hybrid Beamforming Design for Full-Duplex mmWave Communication with Partially-Connected Structures

Self-Interference Cancellation Based Hybrid Beamforming Desi...

引用

International Conference on Communication Technology (ICCT)

作者： Gengshan Wang Zhijia Yang Tierui Gong Chuang Xie State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang China Key Laboratory of Networked Control Systems Shenyang China Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Institute of Computing Technology Beijing China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

The ever increasing demand for throughputs in next-generation wireless communication systems has been put forward for satisfying the exponentially incremental data transmissions. Millimeter wave (mmWave), massive multipleinput multiple-output (MIMO) and full-duplex (FD) are three disruptive technologies to meet the throughputs requirement, which can supply abundant spectral resources, provide multiplexing gain in space, as well as allow simultaneous transmissions, respectively. In this paper, we consider combining these three enablers to form a FD mmWave massive MIMO communication system. Due to the high costs and power consumption of the massive amount of radio-frequency chains components, especially when working on mmWave frequencies, as well as the strong self-interference (SI) that significantly degrades the performance, we focus on the SI cancellation based hybrid beamforming design for the FD mmWave system with partially-connected structures. Resorting to null space projection, we propose our hybrid beamforming design to cancel the SI as well as consider the spectral efficiency (SE) performance. Numerical results verify that our proposed hybrid beamforming design can indeed improve the SE performance when the signal-to-noise ratio (SNR) and the number of RF chains are large enough.

关键词： Radio frequency Interference cancellation Array signal processing Massive MIMO Throughput Millimeter wave communication Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Short-Term Photovoltaic Power Prediction Modeling Based on AdaBoost Algorithm and Elman 10

Short-Term Photovoltaic Power Prediction Modeling Based on A...

引用

10th International Conference on Power and Energy Systems, ICPES 2020

作者： Sun, Wenxuan Zhang, Tao Tao, Ran Wang, Anna Northeastern University College of Information Science and Engineering Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Electrical Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781665404945

In recent years, with the rapid expansion of the installed capacity of renewable energy systems, the availability, stability and quality of smart grids have become increasingly important[1]. The application of renewable energy production forecasting has also been rapidly developed, especially in the field of solar photovoltaic (PV)[2][3]. In the example of solar PV output prediction, machine learning and hybrid technologies have been implemented for many applications. In this paper, a high-precision PV system output power prediction model based on improved AdaBoost and Elman is proposed. Multiple model using integrated AdaBoost algorithm fusion with the bat algorithm for the parameters of optimized combination of weak Elman neural network predictor to become a higher prediction precision, the method of strong predictor of the model can according to the weather information, such as temperature, solar radiation and the history of the output of the PV system data, the probability of photovoltaic power generation for 12 hours and deterministic prediction. The prediction accuracy of the model is determined by Root Mean Squared Error (RMSE). Experimental results show that the prediction accuracy of this algorithm is better than that of other benchmark models, and the algorithm can effectively predict the volatility and irregularity of complex time series. © 2020 IEEE.

关键词： Adaptive boosting

来源：评论

学校读者我要写书评

暂无评论

Observer-Based Positive Edge Consensus for Undirected Nodal Networks

Observer-Based Positive Edge Consensus for Undirected Nodal ...

引用

第三十八届中国控制会议

作者： Yuchen Qian Wei Zhang Mingming Ji Chenhang Yan Laboratory of Intelligent Control and Robotics Shanghai University of Engineering Science

In this paper, the problem positive edge consensus of systems described by linear dynamics on undirected nodal networks is studied. A new observer-based distributed positive edge consensus control protocol is first proposed, which includes the classical Luenberger observer-based protocol as a special case. Moreover, in virtue of line graph theory and topological transformation, we can map the edge topology to the line topology such that the states of each edge in the connected networks can be demonstrated to be consistent. Finally, theoretical analysis and a simulation example are given to verify the effectiveness of the proposed positive edge consensus protocol.

关键词： positive edge consensus line graph observer-based protocol

来源：评论

学校读者我要写书评

暂无评论

An improved knowledge graph model based on fuzzy theory and TransR 9

An improved knowledge graph model based on fuzzy theory and ...

引用

9th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2020

作者： Cai, Yingkai Wang, Chu Wang, Zhongfeng Song, Chunhe Zou, Yunfeng State Grid Liaoning Marketing Service Center Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China State Grid Jiangsu Marketing Service Nanjing China

Thispaper relates to the field of knowledge management and information retrieval technology, and specifically provides a method for constructing a knowledge graph. The method for constructing the knowledge graph includes: acquiring triple data, converting the triple data into a normalized triple vector, using the triple vector to construct a knowledge graph based on fuzzy relations, and The minimization objective optimization function of the triple vector is acquired, and the knowledge graph is optimized. This paper reduces the complexity of the knowledge map training process and the time required for the training process. © 2020 IEEE.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

FCA-based approach to machine learning? 7

FCA-based approach to machine learning?

引用

7th International Workshop "What can FCA do for Artificial Intelligence"?, FCA4AI 2019

作者： Vinogradov, Dmitry V. Federal Research Center for Computer Science and Control Russian Academy of Science Moscow119333 Russia Russian State University for Humanities Intelligent Robotics Laboratory Moscow125993 Russia

The main result of the paper provides a lower bound on sufficient number of randomly generated formal concepts to correctly predict all important positive test examples with given confidence level. The technique coincides with modern approach to the famous theorem of V.N. Vapnik and ***. Chervonenkis. However the situation is dual to the classical one: in our case test examples correspond to fixed subsets and probabilistically generated formal concepts must fall into selected areas of sufficient large volume. © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Gradient Eigen-decomposition Invariance Biogeography-based Optimization for Mobile Robot Path Planning

Research Square

引用

Research Square 2021年

作者： Wang, Jiaqian Na, Xiaodong Han, Min Li, Deicai Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian116024 China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian116024 China Professional Technology Innovation Center of Distributed Control for Industrial Equipment of Liaoning Province Dalian University of Technology Dalian116024 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China

The path planning for mobile robots has attracted extensive attention, and evolutionary algorithms have been applied to this problem increasingly. In this paper, we propose a novel gradient eigen-decomposition invariance biogeography-based optimization (GEI-BBO) for mobile robot path planning, which has the merits of high rotation invariance and excellent search performance. In GEI-BBO, we design an eigen-decomposition mechanism for migration operation, which can reduce the dependence of biogeography-based optimization (BBO) on the coordinate system, improve the rotation invariance and share the information between eigen solutions more effectively. Meanwhile, to find the local optimal solution better, gradient descent is added, and the system search strategy can reduce the occurrence of local trapping phenomenon. In addition, combining the GEI-BBO with cubic spline interpolation will solve the problem of mobile robot path planning through a defined coding method and fitness function. A series of experiments are implemented on benchmark functions, whose results indicated that the optimization performance of GEI-BBO is superior to other algorithms. And the successful application of GEI-BBO for path planning in different environments confirms its effectiveness and practicability. © 2021, CC BY.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Implementation of CAPI and Traditional PCIe and Delay of Comparison

Implementation of CAPI and Traditional PCIe and Delay of Com...

引用

IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)

作者： Fudong Wang Tao Zhang Bingjie Zhao Fan Yang Qingxin Li Ziyang Li Key Laboratory of Networked Control Systemsm Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Liaoning Shenyang China Chinese Academy of Sciences Dalian University of Technology Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Liaoning Shenyang China

ISBN: (数字)9781728160245

ISBN: (纸本)9781728160252

With the development of artificial intelligence technology and heterogeneous computing, heterogeneous communication speed is becoming more and more important. The latency of transmitting data determines whether a heterogeneous computing architecture is available. Current acceleration cards usually use PCIe interface. IBM developed the CAPI communication architecture for heterogeneous computing. This paper compares the technical principles and delays of the Power CAPI architecture and a high speed PCIe communication method.

关键词： Field programmable gate arrays Kernel Computer architecture Acceleration Linux Hardware

来源：评论

学校读者我要写书评

暂无评论

Antenna Cross-correlation based Compressive Subspace Learning for Wideband Spectrum Sensing 19

Antenna Cross-correlation based Compressive Subspace Learnin...

引用

19th IEEE International Conference on Communication Technology, ICCT 2019

作者： Gong, Tierui Liu, Zhifeng Yang, Zhijia Wang, Gengshan Key Laboratory of Networked Control Systems State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781728105352

To address the performance degradation of wide-band spectrum sensing by sub-Nyquist sampling (SNS) in wireless fading channels, two compressive subspace learning (CSL) algorithms are proposed for signal subspace learning based on antenna cross-correlations for further improving the sensing performance. Both algorithms are developed based on different organizations of SNS samples, and both exploit space diversity and noise uncorrelations between antennas. We further establish the expressions for statistical covariance matrices (SCMs) obtained by SNS samples in the multi-antenna SNS cognitive radio system. Based on the derived SCM expressions, conditions to ensure SCMs without noise contamination are given. Simulations validate the derived conditions and show the improvement on sensing performance over related works. © 2019 IEEE.

关键词： Covariance matrix

来源：评论

学校读者我要写书评

暂无评论

Communication Scheme of Cloud Platform for the Lower Limb Exoskeleton Rehabilitation Robot

Communication Scheme of Cloud Platform for the Lower Limb Ex...

引用

International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Ye Yuan Guang-Zhong Cao Aibin Zhu Xing Lyu Yulong Wang Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen University Shenzhen China Shaanxi Key Laboratory of Intelligent Robots Institute of Robotics & Intelligent Systems Xi'an Jiaotong University Xi'an China Shenzhen Second People's Hospital Rehabilitation Center The First Affiliated Hospital of Shenzhen University Shenzhen China

The following topics are dealt with: mobile robots; learning (artificial intelligence); robot vision; motion control; medical robotics; position control; control engineering computing; human-robot interaction; feature... 详细信息

ISBN: (数字)9781728157153

ISBN: (纸本)9781728157160

关键词： Robot sensing systems Cloud computing Protocols Exoskeletons Robot kinematics Logic gates

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：