检索结果-内蒙古大学图书馆

第25届中国控制与决策会议

作者： keyu Long Zaiyue Yang State Key Lab. of Industrial Control Technology Zhejiang University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355339

This paper focuses on the load shifting problem in a household scenario with a large-capacity battery. We propose a novel Model Predictive control （MPC） framework to control the charge/discharge power of battery, hence to shave the peak load. Being different from other studies, the framework is designed on the base of individual habit of energy consumption, as it is envisioned that the individual habit is critical for choosing the suitable energy services. In this paper, the habit is modeled as a Markov process and gradually learned by an iterative algorithm;thus, the habit can be utilized for the prediction of future energy consumption. Then, the rolling optimization is applied for the optimal control of the charge/discharge power of battery. It is shown by numerical simulations that the proposed approach can significantly reduce the peak load.

关键词： Habit Model Predictive control Markov Chain Nonlinear Optimization Household Energy Management

来源：评论

学校读者我要写书评

暂无评论

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

引用

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

来源：评论

学校读者我要写书评

暂无评论

25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

引用

BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

关键词：

来源：评论

学校读者我要写书评

暂无评论

Nonreciprocal transmission through grating with magneto-optical substrate

Nonreciprocal transmission through grating with magneto-opti...

引用

Nanophotonics, Nanoelectronics and Nanosensor, N3 2013

作者： Zhu, Haibin Li, Feng Liu, Yajie Jiang, Chun Tang, Bin Zang, Xiaofei College of Mathematics Physics and Information Engineering Jiaxing University Jiaxing 314001 China State Key Laboratory of Advanced Optical Communication System and Networks Shanghai Jiao Tong University Shanghai 200240 China School of Mathematics and Physics Changzhou University Changzhou 213164 China Engineering Research Center of Optical Instrument and System Ministry of Education and Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai 200093 China

ISBN: (纸本)9781557529763

A double-layer grating structure is proposed, which can show nonreciprocal transmission in near-IR frequency range. The structure is composed of metallic grating with magneto-optical substrate. The nonreciprocity depends on both incidence angle and thickness of the substrate. With proper conditions, the nonreciprocity is as high as 57.6%. © OSA 2013.

关键词： Light transmission

来源：评论

学校读者我要写书评

暂无评论

Direct multi-hop time synchronization with constructive interference

Direct multi-hop time synchronization with constructive inte...

引用

11th ACM/IEEE Conference on information Processing in Sensing Networks, IPSN'12

作者： Wang, Yin Pan, Gaofeng Huang, Zhiyu MOE Key Lab. for Information System Security School of Software TNLIST China Science and Technology on Communication Information Security Control Laboratory China Institute of Software Chinese Academy of Sciences China

ISBN: (纸本)9781450312271

Multi-hop time synchronization in wireless sensor networks (WSNs) is often time-consuming and error-prone due to random time-stamp delays for MAC layer access and unstable clocks of intermediate nodes. Constructive interference (CI), a recently discovered physical layer phenomenon, allows multiple nodes transmit and forward an identical packet simultaneously. By leveraging CI, we propose direct multi-hop (DMH) time synchronization by directly utilizing the time-stamps from the sink node instead of intermediate nodes, which avoids the error caused by the unstable clock of intermediate nodes. DMH doesn't need decode the flooding time synchronization beacons. Moreover, DMH explores the linear regression technique in CI based time synchronization to counterbalance the clock drifts due to clock skews. © 2012 ACM.

关键词： Synchronization

来源：评论

学校读者我要写书评

暂无评论

Poster abstract: Direct multi-hop time synchronization with constructive interference

Poster abstract: Direct multi-hop time synchronization with ...

引用

International Symposium on information Processing in Sensor Networks (IPSN)

作者： Yin Wang Gaofeng Pan Zhiyu Huang MOE Key Lab for Information System Security TNLIST Tsinghua University Science and technology on communication information security control laboratory Chinese Academy of Sciences

ISBN: (纸本)9781479964703

Multi-hop time synchronization in wireless sensor networks (WSNs) is often time-consuming and error-prone due to random time-stamp delays for MAC layer access and unstable clocks of intermediate nodes. Constructive interference (CI), a recently discovered physical layer phenomenon, allows multiple nodes transmit and forward an identical packet simultaneously. By leveraging CI, we propose direct multihop (DMH) time synchronization by directly utilizing the time-stamps from the sink node instead of intermediate n-odes, which avoids the error caused by the unstable clock of intermediate nodes. DMH doesn't need decode the flooding time synchronization beacons. Moreover, DMH explores the linear regression technique in CI based time synchronization to counterbalance the clock drifts due to clock skews.

关键词： Synchronization Clocks Protocols Accuracy Interference Wireless sensor networks Relays

来源：评论

学校读者我要写书评

暂无评论

Distributed multi-agent Q-learning for joint channel allocation and power control in cognitive radio networks

引用

Journal of Computational information systems 2012年第17期8卷 7071-7078页

作者： Boumediene, Latifa Gao, Zhenguo Liu, Sheng College of Automation Harbin Engineering University Harbin 150001 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China State Key Lab. for Novel Software Technology Nanjing University Nanjing 210093 China

This paper deals with the resource allocation in completely distributed cognitive radio network. We propose a form of real-time multi-agent distributed reinforcement learning, which is known as Q-learning, to allow the cognitive radio to predict its transmit power and channel, in order for achieving a high quality of service without affecting the primary users. Simulation results reveal that the proposed approach is able to significantly reduce the interference to the licensed users while maintaining a high probability of successful transmission in a cognitive radio ad-hoc network. © 2012 Binary information Press.

关键词： Cognitive radio

来源：评论

学校读者我要写书评

暂无评论

A fast sparsity adaptive matching pursuit algorithm for compressed sensing

A fast sparsity adaptive matching pursuit algorithm for comp...

引用

2011 International Conference on Automation and Robotics, ICAR 2011

作者： Ma, Chun-Hui Xu, Chun-Yun Shen, Lei Zheng, Shi-Lian Telecommunication School Hangzhou Dianzi University Zhejian 310018 China State Key Lab. of Information Control Technology in Communication System No.36 Research Institute Electronic Technology Corporation Jiaxing 314001 China

ISBN: (纸本)9783642255526

Sparsity adaptive matching pursuit algorithm (SAMP) is a compressed sensing signal reconstruction algorithm with good performance. However, as the support set expands one time, the backward pursuit should be processed for many times, in which redundant update calculations are included. To solve the problem, this paper presents a fast sparsity adaptive matching pursuit algorithm (FSAMP). During the operation of the FSAMP, the backward pursuit is performed only once when the support set expands. After the support set is fixed, the backward pursuit shall be executed for multi times to guarantee the reconstruction precision. Simulation results for signal reconstruction show that the FSAMP has the slight higher reconstruction precision and the much faster reconstruction speed compared with the SAMP. © 2011 Springer-Verlag.

关键词： Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

On energy-efficient trap coverage in wireless sensor networks

On energy-efficient trap coverage in wireless sensor network...

引用

2011 32nd IEEE Real-Time systems Symposium, RTSS 2011

作者： Li, Junkun Chen, Jiming He, Shibo He, Tian Gu, Yu Sun, Youxian State Key Lab. of Industrial Control Technology Zhejiang University China Computer Science and Engineering University of Minnesota United States Pillar of Information System Technology and Design Singapore University of Technology and Design Singapore Singapore

ISBN: (纸本)9780769545912

In wireless sensor networks (WSNs), trap coverage has recently been proposed to tradeoff between the availability of sensor nodes and sensing performance. It offers an efficient framework to tackle the challenge of limited resources in large scale sensor networks. Currently, existing works only studied the theoretical foundation of how to decide the deployment density of sensors to ensure the desired degree of trap coverage. However, the practical issues such as how to efficiently schedule sensor node to guarantee trap coverage under an arbitrary deployment is still left untouched. In this paper, we formally formulate the Minimum Weight Trap Cover Problem and prove it is an NP-hard problem. To solve the problem, we introduce a bounded approximation algorithm, called Trap Cover Optimization (TCO) to schedule the activation of sensors while satisfying specified trap coverage requirement. The performance of MinimumWeight Trap Coverage we find is proved to be at most O(ρ) times of the optimal solution, where ρ is the density of sensor nodes in the region. To evaluate our design, we perform extensive simulations to demonstrate the effectiveness of our proposed algorithm and show that our algorithm achieves at least 14% better energy efficiency than the state-of-the-art solution. © 2011 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

A new variable step size NLMS algorithm based on decorrelation for second-order Volterra filter

A new variable step size NLMS algorithm based on decorrelati...

引用

2011 International Conference on Automation and Robotics, ICAR 2011

作者： Zhao, Zhijin Yan, Pingping Shen, Lei Telecommunication School Hangzhou Dianzi University Zhejian 310018 China State Key Lab. of Information Control and Security Technology in Communication No. 36 Research Institute China Electronic Technology Corporation Jiaxing 314001 China

ISBN: (纸本)9783642255526

When the input signals are strongly correlated, the adaptive algorithm performance of Volterra filter deteriorates. Meanwhile, the correlativity of linear input signals of Volterra filter is different from that of nonlinear input signals of Volterra filter. So, a new variable step size NLMS algorithm based on decorrelation for second-order Volterra filter is proposed. In the new algorithm, the decorrelation is used in linear and nonlinear input signals of Volterra filter, respectively, and the different variable step factors are adopted. Simulation results of noise cancellation show that the correlativity of input noises has no fundamental impact on the proposed algorithm, whether it is strong or weak. And when the input noises are strongly correlated, the new algorithm still has a better noise cancellation performance. © 2011 Springer-Verlag.

关键词： Adaptive algorithms

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：