检索结果-内蒙古大学图书馆

arXiv 2018年

作者： Jun, Zhang Fei-Yue, Wang State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Electrical Engineering Wuhan University Wuhan430072 China Qingdao Academy of Intelligent Industries Qingdao266071

Chinese power grid enterprises are in need for development of digital asset management system. The characteristics of decentralization, self-trust and self-confidence, pave a promising technical path for power grid digital assess management and Big Data applications. This article firstly introduces the state-of-the-art of power grid Big Data and digital asset management, and the related issues in power grid enterprises. The solution of blockchain based digital asset management technology and its implementation are presented in details, followed by a discussion of their future developmental directions. Copyright © 2018, The Authors. All rights reserved.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Stability and Stabilization Analysis of Fractional-Order Linear systems Subject to Actuator Saturation and Disturbance

引用

IFAC-PapersOnLine 2017年第1期50卷 9718-9723页

作者： LI C. CHEN K. LU J. TANG R. School of Mechanical and Electrical Engineering Hainan University Haikou 570228 China Department of Automation Shanghai JiaoTong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

This paper focuses on the fractional order linear systems subject to actuator saturation and external disturbance, and proposes method to estimate the domain of attraction. The quadratic Lyapunov functions are adopted to obtain the invariance of considered systems. The convex combination form of quadratic Lyapunov function is utilized to obtain a large domain of attraction. A continuous feedback law is derived to achieve disturbance rejection for closed-loop systems. Numerical example is provided to illustrate the effectiveness of the developed method. © 2017

关键词： Disturbance Domain of Attraction Fractioanl-Order systems LMI Saturation Stability

来源：评论

学校读者我要写书评

暂无评论

Toward stronger robustness of network controllability: A snapback network model

arXiv

引用

arXiv 2018年

作者： Lou, Yang Wang, Lin Chen, Guanrong Department of Electronic Engineering City University of Hong Kong Hong Kong SAR Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

A new complex network model, called q-snapback network, is introduced. Basic topological characteristics of the network, such as degree distribution, average path length, clustering coefficient and Pearson correlation coefficient, are evaluated. The typical 4-motifs of the network are simulated. The robustness of both state and structural controllabilities of the network against targeted and random node- and edge-removal attacks, with comparisons to the multiplex congruence network and the generic scalefree network, are presented. It is shown that the q-snapback network has the strongest robustness of controllabilities due to its advantageous inherent structure with many chain- and loop-motifs. Copyright © 2018, The Authors. All rights reserved.

关键词： controllability

来源：评论

学校读者我要写书评

暂无评论

Impedance control with New Inner Torque loop for Compliant Joints and Its Performance Analysis 36

Impedance Control with New Inner Torque loop for Compliant J...

引用

第36届中国控制会议

作者： Yin Ke Jian Li Zonglin Huang Shuai Li Guodong Li The Bionic Robot and System Key Laboratory School of Mechatronic EngineeringBeijing Institute of Technology Key Laboratory for Intelligent Control and Decision on Complex Systems School of AutomationBeijing Institute of Technology Beijing Jingwei Hirain Technologies

ISBN: (纸本)9781538629185

For the purpose of enhancing compliance of robot joint,an impedance control strategy with new inner torque controller is *** inertia of the motor can be scaled down thanks to this new type of torque *** of different position（motor-side position 9 and link-side position q） feedback strategies are explored through theoretical deviation,simulation and static stiffness *** expressions of static stiffness under both position feedback strategies are obtained with validity verified by Simulink *** with 9 feedback strategy,static stiffness can exceed spring stiffness under q feedback strategy with high desired stiffness,which means wider variation range of static stiffness and this benefits robot applications that require wider variation range of impedance,such as rehabilitation robots and collaborative ***,several experiments with the compliant joint prototype verify the developed controllers and show the efficiency of the proposed control approach in terms of compliant behavior.

关键词： Compliant joint Impedance control Static stiffness

来源：评论

学校读者我要写书评

暂无评论

Task-space cooperative tracking control of multi-robot systems with unknown parameters and time delays

Task-space cooperative tracking control of multi-robot syste...

引用

IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Xinwu Liang Hesheng Wang Yun-Hui Liu Weidong Chen Le Xie The School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China National Digital Manufacturing Technology Center Shanghai Jiao Tong University Shanghai China

In this paper, the task-space cooperative tracking control problem of multi-robot systems on strongly connected digraphs is studied. To solve such synchronization problem, a novel adaptive control approach is proposed by introducing task-space synchronization errors between neighboring robotic systems into the task-space reference velocity/acceleration. To cope with unknown kinematic and dynamic parameters, adaptive laws are developed without explicitly incorporating synchronization terms. Lyapunov stability theory is used to rigorously prove asymptotical convergence of the task-space synchronization and tracking errors by fully considering the time delays. Finally, simulation results are given to illustrate the performance of the proposed task-space cooperative tracking control approach.

关键词： Task analysis Robot kinematics Kinematics Multi-robot systems Synchronization Aerospace electronics

来源：评论

学校读者我要写书评

暂无评论

Improving Auction Mechanisms for Online Real-Time Bidding Advertising with a Two-stage Resale Model

引用

IFAC-PapersOnLine 2017年第1期50卷 13575-13580页

作者： Qin, Rui Yuan, Yong Wang, Fei-Yue The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

Real Time Bidding (RTB), widely publicized as one of the most promising big-data-driven business models for online computational advertising, has the potential of effectively monetizing user clicks and impressions via two-stage auctions with resale. Demand side platforms (DSPs) play a key role as intermediators in this auction process. Typically, the first-stage auctions will be conducted separately in each DSP to determine one winning advertiser registered on it, and in the second-stage auction, each DSP submits a bid based on its winning advertiser's bid to the ad exchange platform (AdX). The highest-bid DSP wins the ad impression from AdX and resells it to its winning advertiser in pursuit of the intermediate fee. This two-stage resale auction is a critical component in maintaining the effectiveness and efficiency of RTB ecosystems. In this paper, we strive to identify and design potential improvements for this auction mechanism with the aim of enhancing the total revenue of both advertisers and DSPs. We also validated our proposed auction mechanisms using the computational experiment approach. The experimental results indicate that our proposed mechanisms can make both advertisers and DSPs better off. Our work represents the first step towards a new research area of optimal mechanism design for RTB auctions, and is expected to provide useful managerial insights in RTB market practice. © 2017

关键词： Sales Commerce Machine design Auction mechanisms Computational advertisings Computational experiment Critical component Demand side Effectiveness and efficiencies Optimal mechanism designs Real time

来源：评论

学校读者我要写书评

暂无评论

Autoencoder-based Fault Diagnosis for Grinding system 29

Autoencoder-based Fault Diagnosis for Grinding System

引用

第29届中国控制与决策会议

作者： QU Xing-yu ZENG Peng Fu Dong-dong Xu chengcheng Key Lab of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences Northern Heavy Industries Group Co.Itd College of Information Science and Engineering Northeastern University

ISBN: (纸本)9781509046584

At present, most fault diagnosis for grinding system is based on artificial judgments, which is inefficient, low accurate, high cost and easy to cause casualties. The traditional neural network has an unsatisfying performance to predict on high dimensional dataset, and is hard to extract crucial features, which brings about terrible classification results. To solve the above problems, the paper present a deep learning based on autoencoder to realize the intelligent diagnosis for grinding system. The algorithm applies autoencoder to extract features from fault dataset, and transit the non-linearized features to Softmax classification to recognize the fault category. This paper compares autoencoder-based deep learning networks and the traditional BP neural networks in experiments, and it is concluded that the autoencoderbased deep learning outperforms BP networks in the unbalanced classification. The classification precision is up to 92.4% by using the proposed method.

关键词： Fault Diagnosis Autoencoder Softmax Classifier Deep Learning

来源：评论

学校读者我要写书评

暂无评论

Distributed Model Predictive control for Nonlinear Networked systems with Asynchronous Communication 36

Distributed Model Predictive Control for Nonlinear Networked...

引用

第36届中国控制会议

作者： ZHOU Yuanqiang LI Dewei XI Yugeng CEN Lihui XU Yuli GAN Zhongxue Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education School of Information Science and Engineering Central South University ENN Science & Technology Development Co. Ltd.

ISBN: (纸本)9781538629185

This paper concerns the distributed model predictive control（DMPC） problem for nonlinear multirate networked systems subject to asynchronous *** asynchronization of communication between each subsystem always exists in mechanic engineering and chemical *** motivation of this paper is to use the asynchronous information to improve closed-loop performance for a class of networked systems with coupled nonlinear *** handle the asynchronous communication,a methodology of state trajectory estimation for the coupled neighboring agents over each prediction horizon with guaranteed error bounds is *** make effective use of computational resources,a distributed model predictive control algorithm with the dual-model control strategy is *** conditions for ensuring the subsequent feasibility of the proposed algorithm and the stabilization of the closed-loop networked systems are developed ***,the theoretical results are verified by a simulation example for a set of coupled Van der Pol oscillators.

关键词： Networked systems Nonlinear system Nonlinear predictive control Distributed nonlinear control

来源：评论

学校读者我要写书评

暂无评论

Increase in accuracy forecast for electrical energy consumption of the WEM subjects using fuzzy neural networks

引用

IOP Conference Series: Materials Science and engineering 2020年第1期791卷

作者： Ya P Fedorov V L Burkovsky A L Rutskov Corporate finance department and corporate management of the Financial University under the Government of the Russian Federation Leningradsky prospect 49 Moscow 125993 Russia Department of electric drive automation and control in an engineering system Voronezh State Technical University Moscow prospect 179 Voronezh 394066 Russia Forecasting department of electricity balance power and loss analysis branch office OJSC «IDGC Centre» - «Voronezhenergo» Arzamaskaya 2 Voronezh 394033 Russia

This paper covers in depth functioning essence of the balancing electricity market in the Russian Federation in accordance with the current economic stimuli. Significant role of the prediction process for energy resources consumption has been noted, which has a direct influence on a pricing policy within the marked trade area. Analysis of different factors, that impact execution accuracy of the one day in advance model, was conducted. Problem of the weakly defined and unknown parameters, that influence the performance of the balancing electricity market, is suggested to resolve by means of fuzzy neural controller. The paper presents its structure and settings, and possibility to scale it to use not only as an analyzer but as an executive element in the subsystems of electric power systems. High accuracy performance of the fuzzy neural controller was shown - around (0,5-3) %, that is much higher than methods already in use (for instance, based on a coefficient of decline/growth of power consumption).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimal tracking cooperative control for multi-agent systems with periodic sampling via robust model predictive control approach 36

Optimal tracking cooperative control for multi-agent systems...

引用

第36届中国控制会议

作者： Bohui Wang Weisheng Chen Jingcheng Wang Bin Zhang Zhengqiang Zhang Hai Lin Bin Ma the School of Aerospace Science and Technology Xidian University the Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China the Autonomous Systems and Intelligent Control international Joint Research Center Xian Technological University the Department of Electrical Engineering University of South Carolina the with the School of Engineering Qufu Normal University

ISBN: (纸本)9781538629185

This paper addresses the optimized tracking cooperative control problem for multi-agent systems with periodic sampling and directed communication topology via robust model predictive control *** proposed optimized tracking cooperative control strategy relaxes the assumptions in existing works that the control gain and the local input must be continuous and the states information exchange has no recourse *** the conditions of the optimized consensus and the communication cost being satisfied,the tracking cooperative control law with bounded parameters is developed based on the periodic *** shows that if the sampling condition is satisfied,the multi-agent systems will reach the optimized *** results are provided to verify the proposed approach.

关键词： Index Terms-multi-agent systems tracking cooperative control periodic sampling optimized consensus robust model predictive 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：