检索结果-内蒙古大学图书馆

IEEE International Conference on Networking, Sensing and control

作者： Zhonglei Wang Tianyu Wen Weimin Wu The State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9781479980703

In this paper, we remodel the rumor propagation process using Petri net and demonstrate the possibility of describing dynamic behaviors of social networks in Petri net. First, we transform popular Susceptible-Infected-Removed epidemic model into Petri net, from which single rumor model is derived. The single rumor model denotes a basic unit of information propagation and can be tuned for other kinds of information like clarification. By merging rumor and clarification units and making them compete on tokens, the model for multiple pieces of information propagating is finally built up. According to rumor spreading data collected from ***, we primarily tune the parameters of the model. The model output is compared with real world data and explanatory power of the model is achieved.

关键词： Petri nets Mathematical model Diseases Social network services Numerical models Data models Discrete-event systems

来源：评论

学校读者我要写书评

暂无评论

Ontology Driven Multi-paradigm Modeling in Refinery Decision Supporting System

Ontology Driven Multi-paradigm Modeling in Refinery Decision...

引用

第26届中国过程控制会议（CPCC2015）

作者： HU Yunping RONG Gang Feng Yiping Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Zhejiang University

Enterprise-wide optimization(EWO) requires the integrated optimization of models for production planning, scheduling and control in the refinery decision supporting system. When modeling for a refinery, the modeling objects are the same. Due to incompatible modeling paradigms and modeling software, the modeling objects are difficult to be shared between different models. In this paper, ontology-driven modeling(ODM) is used to support the multi-paradigm modeling for refinery. In ODM, the refinery modeling objects are stored in the PUO domain ontology and the different modeling paradigms are separately represented as modeling ontologies. Through the mapping from the domain ontology to modeling ontologies, models represented as instances of modeling ontologies can be developed, which can be transformed into executable formats in modeling tools. Compared with traditional modeling systems, ODM can share refinery domain knowledge between different paradigm models and has higher productivity.

关键词： Refinery Decision Support systems Ontology Driven Modeling Multi-paradigm Modeling

来源：评论

学校读者我要写书评

暂无评论

Neural-network-based robust optimal control of uncertain nonlinear systems using model-free policy iteration algorithm

Neural-network-based robust optimal control of uncertain non...

引用

International Joint Conference on Neural Networks

作者： Chao Li Ding Wang Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing 100083 China

ISBN: (纸本)9781509006212

In this paper, we establish a robust optimal control law for a class of continuous-time uncertain nonlinear systems by using a neural-network-based model-free policy iteration approach. The robust control law of the original uncertain nonlinear system is derived by adding a feedback gain to the optimal control law of the nominal system. It is proven that this robust control law can achieve optimality under a specified cost function. Then, the neural-network-based model-free policy iteration algorithm is developed to solve the Hamilton-Jacobi-Bellman equation corresponding to the nominal system without system dynamics. The actor-critic technique and the least squares implementation method are used to obtain the optimal control policy of the nominal system. A numerical simulation is given to verify the applicability of the present robust optimal control scheme.

关键词： Optimal control Cost function Mathematical model Heuristic algorithms Robustness Robust control Nonlinear systems

来源：评论

学校读者我要写书评

暂无评论

Image Clustering Based on Deep Sparse Representations

Image Clustering Based on Deep Sparse Representations

引用

IEEE Symposium Series on Computational Intelligence

作者： Le Lv Dongbin Zhao Qingqiong Deng The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China College of Information Science and Technology Beijing Normal University Beijing 100875 China

ISBN: (纸本)9781509042418

Currently, the supervised trained deep neural networks (DNNs) have been successfully applied in several image classification tasks. However, how to extract powerful data representations and discover semantic concepts from unlabeled data is a more practical issue. Unsupervised feature learning methods aim at extracting abstract representations from unlabeled data. Large amount of research works illustrate that these representations can be directly used in the supervised tasks. However, due to the high dimensionality of these representations, it is difficult to discover the categorical concepts among them in an unsupervised way. In this paper, we propose combining the winner-take-all autoencoder with the bipartite graph partitioning algorithm to cluster unlabeled image data. The winner-take-all autoencoder can learn the additive sparse representations. By the experiments, we present the properties of the sparse representations. The bipartite graph partitioning can take full advantage of them and generate semantic clusters. We discover that the confident instances in each cluster are well discriminated. Based on the initial clustering result, we further train a support vector machine (SVM) to refine the clusters. Our method can discover the categorical concepts rapidly and the experiment shows that the clustering performance of our method is good.

关键词： supervised trained deep

来源：评论

学校读者我要写书评

暂无评论

Event-based state estimation of discrete-state hidden Markov models

Event-based state estimation of discrete-state hidden Markov...

引用

作者： Shi, Dawei Elliott, Robert J. Chen, Tongwen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China School of Mathematical Sciences University of Adelaide SA5005 Australia Haskayne School of Business University of Calgary CalgaryAB Canada Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 1H9 Canada

The state estimation problem for hidden Markov models subject to event-based sensor measurement updates is considered in this work, using the change of probability approach. We assume the measurement updates are transmitted through wired or wireless communication networks. For the scenarios with reliable and unreliable communication channels, analytical expressions for the probability distributions of the states conditioned on all the past point- and set-valued measurement information are obtained. Also, we show that the scenario with a lossy channel, but without the event-trigger, can be treated as a special case of the reliable channel results. Based on these results, closed-form expressions for the estimated communication rates under the original probability measure are presented, which are shown to be the ratio between a weighted 1-norm and the 1-norm of the unnormalized conditional probability distributions of the states under the new probability measures constructed. Implementation issues are discussed, and the effectiveness of the results is illustrated by numerical examples and comparative simulations. © 2015 Elsevier Ltd. All rights reserved.

关键词： Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

Output stabilization for a class of nonlinear systems via high-gain observer with limited gain power

Output stabilization for a class of nonlinear systems via hi...

引用

1st IFAC Conference on Modelling, Identification and control of Nonlinear systems, MICNON 2015

作者： Wang, Lei Astolfi, Daniele Su, Hongye Marconi, Lorenzo Isidori, Alberto State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China CASY - DEI University of Bologna Italy MINES ParisTech PSL Research University CAS Paris France Department of Computer Control and Management Engineering University of Rome la Sapienza Rome Italy

We address the problem of output stabilization for the class of nonlinear minimum-phase systems with a well-defined relative degree whose output is affected by measurement noise. In the proposed control structure the derivatives of the output are estimated by means of a new high-gain observer proposed in Astolfi and Marconi [2015], which, with respect to high-gain observers conventionally used in literature, has limited gain power. The advantage in using the proposed observer is in its implementation for systems with high relative degree and in the sensitivity to the sensor noise. Simulation results are presented to show the effectiveness of the proposed control structure.

关键词： Nonlinear systems

来源：评论

学校读者我要写书评

暂无评论

An approximation for the boundary optimal control problem of a heat equation defined in a variable domain

引用

Chinese Physics B 2014年第4期23卷 76-82页

作者：于欣任志刚许超 Ningbo Institute of Technology Zhejiang University The State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems & Control Zhejiang University

In this paper, we consider a numerical approximation for the boundary optimal control problem with the control constraint governed by a heat equation defined in a variable domain. For this variable domain problem, the boundary of the domain is moving and the shape of theboundary is defined by a known time-dependent function. By making use of the Galerkin finite element method, we first project the original optimal control problem into a semi-discrete optimal control problem governed by a system of ordinary differential equations. Then, based on the aforementioned semi-discrete problem, we apply the control parameterization method to obtain an optimal parameter selection problem governed by a lumped parameter system, which can be solved as a nonlinear optimization problem by a Sequential Quadratic Programming （SQP） algorithm. The numerical simulation is given to illustrate the effectiveness of our numerical approximation for the variable domain problem with the finite element method and the control parameterization method.

关键词： boundary optimal control heat equation variable domain finite element method control parame-terization method

来源：评论

学校读者我要写书评

暂无评论

Adaptive Dynamic Programming for Residential Energy Scheduling with Solar Energy

Adaptive Dynamic Programming for Residential Energy Scheduli...

引用

World Congress on Intelligent control and Automation

作者： Yancai Xu Derong Liu Qinglai Wei Biao Luo The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781467384155

Residential energy scheduling on demand side is a hot research area for saving energy and balancing loads. In this paper, an adaptive dynamic programming method is proposed for residential energy scheduling to reduce cost between two adjacent housing units. Two sets of storage batteries and solar stations make energy scheduling problems quite complicated while using traditional methods. The scheduling algorithm is designed based on action dependent heuristic dynamic programming. In the utility function, the weighting function is given to adjust the remaining capacities of batteries. Furthermore, the temperature becomes an input of neural networks to stay close to reality. Simulation results show the effectiveness of saving cost and balancing loads.

关键词： Batteries Dynamic programming Solar energy Discharges (electric) Training Dynamic scheduling

来源：评论

学校读者我要写书评

暂无评论

Prediction of Energy Consumption in Office Buildings Based on Echo state Network

Prediction of Energy Consumption in Office Buildings Based o...

引用

World Congress on Intelligent control and Automation

作者： Guang Shi Derong Liu Qinglai Wei The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781467384155

Energy consumption of an office building is generally divided into energy consumptions from sockets, lights and air-conditioners, which are measured in each room of the office building by three ammeters installed inside, respectively. On the other hand, an office building generally consists of several types of rooms, i.e., office rooms, computer rooms, storage rooms, meeting rooms, etc., the energy consumption of which varies in accordance with different working routines in each type of room. In this paper, several novel reservoir topologies of echo state network (ESN) are proposed, and ESNs with different reservoir topologies are applied to predicting energy consumption of rooms in an office building. A case study shows that the proposed simplified reservoir topologies are sufficient to achieve outstanding performance of ESN in the prediction of building energy consumption.

关键词： Energy consumption Reservoirs Buildings Topology Training Computers Sockets energy consumption office buildings Power outlets Socket Buildings reservoirs Computers topology Functional training Rooms built structure office Electronic Serial Number Air conditioners

来源：评论

学校读者我要写书评

暂无评论

Social Manufacturing Development with Sino-Finnish Innovation Cooperation

Social Manufacturing Development with Sino-Finnish Innovatio...

引用

2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Jian Liu Gang Xiong Xiuqin Shang Timo R.Nyberg Yiming Wang Tongkai Ji The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Innovation is changing the world every day by offering new technical solutions for the society, and the technology development powered by innovation has been changing the operation and structure of traditional manufacturing. Social manufacturing is the new trend of manufacturing development, especially in the field of apparel industry. Social manufacturing can create opportunities for customers to participate in the produce process of tailoring, and to make more personalizing clothes, which will also benefit for the related companies' brand making process. With the assistance of internet technology and industry globalization, we can establish several modes about the trend of social manufacturing and new related technology, social manufacturing can also prompt the international division of labor by reducing the producing costs and enlarging the market capacity, we will analyze the advance of Sino-Finland cooperation in the field of innovation and apparel industry, the international cooperation in manufacturing industry will benefit both customers and industry revolution with the assistance of social manufacturing.

关键词： social manufacturing innovation apparel industry international cooperation

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：