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共 1644 条记录，以下是1301-1310 订阅

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A network controlled Handover Mechanism and its optimization in LTE Heterogeneous networks

A Network Controlled Handover Mechanism and its Optimization...

引用

IEEE Wireless Communications and networking conference (WCNC)

作者： Zhou Guohua Legg, Peter Gao Hui Huawei Technol Sweden Kista Sweden

ISBN: (纸本)9781467359399;9781467359382

Mobility Robustness optimization (MRO) is proposed in Long Term Evolution (LTE) networks to improve handover performance by 3GPP (3rd Generation Partnership Project). However, conventional MRO algorithms which tune cell (-pair) level handover parameters that control the generation of measurement reports have restricted gain because of the uneven interference distribution within the handover region in the spatial domain, and also the interference variation in time domain when the cell load changes. Mobility optimization is even more challenging in heterogeneous networks (HetNet) due to the more complex channel and load conditions there. In this paper, we propose a network controlled handover mechanism to solve these problems. The mechanism exploits measurement reports to identify the best target cell and channel quality measurements to realize a handover specific timing decision. System simulations show the new mechanism can be configured by a MRO algorithm to overcome many of the handover challenges in LTE HetNet

关键词： LTE handover MRO SON Heterogeneous networks

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The Hot Pressing Process optimization of Ti(C, N) Matrix Nano-Composite Ceramic Die Materials with the Back Propagation Neural network and Immune Genetic Algorithm

The Hot Pressing Process Optimization of Ti(C, N) Matrix Nan...

引用

3rd International conference on Advances in Materials Manufacturing (ICAMMP 2012)

作者： Zhang Jingjie Xu Chonghai Zhang Huifa Shandong Polytech Univ Sch Mech & Automot Engn Jinan 250353 Peoples R China Shandong Polytech Univ Light Ind Univ Shandong Key Lab Adv Mfg Measurement & Control Technol Jinan 250353 Peoples R China Zhucheng Yihe Axles CO LTD Weifang 262200 Peoples R China

ISBN: (纸本)9783037856208

The two hybrid algorithms of back propagation neural network and immune genetic algorithm were used in the optimum design of the hot pressing parameters of Ti(C, N) matrix nano-composite ceramic die material. The BP algorithm could set up the relationship well between the hot pressing parameters and single mechanical property. Compared with the experimental value, the relative error of fracture toughness, hardness and flexural strength is only 4.65%, 0.23% and 4.05%, respectively. After analyzed the predicted results, the best predicted results were the sintering temperature was about 1455 degrees C and the holding time was 11 min. Under these hot pressing parameters, the best flexural strength and the best fracture toughness of the material could be obtained.

关键词： BP Neural network Immune Genetic Algorithm Hot Pressing Process optimization

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optimization of the Steady Voltage Profile in Distribution Systems by Coordinating the controls of Distributed Generations

Optimization of the Steady Voltage Profile in Distribution S...

引用

3rd IEEE PES International conference and Exhibition on Innovative Smart Grid Technologies europe (ISGT europe)

作者： He, Yujun Petit, Marc Dessante, Philippe Supelec Dept Energy F-91192 Gif Sur Yvette France

ISBN: (纸本)9781467325950;9781467325967

Distributed generation (DG) is more and more installed and integrated in the electric power systems, mainly in distribution networks. The conventional method of voltage control with on-load tap changer transformers is not efficient enough to deal with the growth of integration of distributed generators. The DG power regulation will contribute to optimize the steady voltage profile in network and thus to rise the maximal DG installation capacities of network. The work reported in this paper shows that the coordination of DG power regulation can realize a voltage control of distribution network. The coupling between active power and voltage magnitude must be taken into account according to the our results.

关键词： Distributed generation voltage control distribution systems power generation regulation optimization

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Capacity Management within a Multi-Agent Market-Based Active Distribution network

Capacity Management within a Multi-Agent Market-Based Active...

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3rd IEEE PES International conference and Exhibition on Innovative Smart Grid Technologies europe (ISGT europe)

作者： Greunsven, J. A. W. Veldman, E. Nguyen, P. H. Slootweg, J. G. Kamphuis, I. G. Eindhoven Univ Technol Dept Elect Engn NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9781467325950;9781467325967

Normal operation of an active distribution network (ADN) requires simultaneous optimization of different objectives of the various involved actors. This results in a multi-objective optimization problem which has not yet been treated completely. This paper considers a particular relationship between commercial and technical coordination, involving capacity management of the distribution network. First, the market-based ADN, its actors and their objectives are described. An agent-based approach is desirable to handle the complexity of this ADN. Then, several technical issues for integrating capacity management within a multi-agent market-based ADN are pointed out. After that, the developed agent architecture and coordination mechanism are further elaborated upon, along with a formulation of the multi-objective optimization problem. Finally, a decentralized approach for integrating capacity management is introduced and demonstrated.

关键词： Active distribution network multi-agent systems capacity management power system control load flow control

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Optimal Cross-Layer Design of Sampling Rate Adaptation and network Scheduling for Wireless networked control Systems 12

Optimal Cross-Layer Design of Sampling Rate Adaptation and N...

引用

3rd IEEE/ACM International conference on Cyber-Physical Systems (ICCPS)

作者： Bai, Jia Eyisi, Emeka P. Qiu, Fan Xue, Yuan Koutsoukos, Xenofon D. Vanderbilt Univ Dept Elect Engn & Comp Sci 221 Kirkland Hall Nashville TN 37235 USA

ISBN: (纸本)9780769546957

Wireless networked control Systems (NCS) are increasingly deployed to monitor and control Cyber-Physical Systems (CPS). To achieve and maintain a desirable level of performance, NCS face significant challenges posed by the scarce wireless resource and network dynamics. In this paper, we consider NCS consisting of multiple physical plant and digital controller pairs communicating over a multi-hop wireless network. The control objective is that the plants follow the reference trajectories provided by the controllers. This paper presents a novel optimization formulation for minimizing the tracking error due to (1) discretization and (2) packet delay and loss. The optimization problem maximizes a utility function that characterizes the relationship between the sampling rate and the capability of disturbance rejection of the control system. The constraints come from the wireless network capacity and the delay requirement of the control system. The solution leads to a joint design of sampling rate adaptation and network scheduling, which can be naturally deployed over existing networking systems which have a layered architecture. Based on a passivity-based control framework, we show that the proposed cross-layer design can achieve both stability and performance optimality. Simulation studies conducted in an integrated simulation environment consisting of Matlab/Simulink and ns-2 demonstrate that our algorithm is able to provide agile and stable sampling rate adaptation and achieve optimal NCS performance.

关键词： wireless networked control system cross-layer design sampling rate adaptation network scheduling

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A neurodynamic approach to model predictive control of piecewise linear systems

A neurodynamic approach to model predictive control of piece...

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2012 3rd International conference on Intelligent control and Information Processing, ICICIP 2012

作者： Yan, Zheng Wang, Jun Department of Mechanical and Automation Engineering Chinese University of Hong Kong Shatin New Territories Hong Kong School of Control Science and Engineering Dalian University of Technology Dalian Liaoning China

ISBN: (纸本)9781457721427

This paper presents a neurodynamic approach to model predictive control (MPC) of constrained piecewise linear systems. A novel procedure for estimating uncertain system parameters of piecewise linear systems is proposed. The model predictive control problem is then formulated as a quadratic optimization problem. To realize the real-time optimization in MPC, a one-layer recurrent neural network is employed for solving the quadratic optimization problem during each sampling interval. The overall MPC approach is of low computational complexity. Simulation results are included to substantiate the effectiveness and usefulness of the proposed approach. © 2012 IEEE.

关键词： Model predictive control

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network optimization-based MPC for Distributed control Systems

Network Optimization-based MPC for Distributed Control Syste...

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3rd International conference on Manufacturing Science and Engineering (ICMSE 2012)

作者： Zhang, Yan Shanghai Maritime Univ Dept Elect Engn & Automat Shanghai 201306 Peoples R China

ISBN: (纸本)9783037853733

In this paper, a novel network optimization-based MPC scheme is proposed for on-line optimization and control of a class of distributed control systems, in which the on-line optimization of the whole system is decomposed into that of several small-scale sub-systems in distributed structures. Under network environment, the connectivity of the communication network is assumed to be sufficient for each sub-system to exchange information with other sub-systems. An iterative algorithm for networked MPC with ideal information model is developed for DCS. Finally, the simulation study of the fuel feed flow control for the walking beam reheating furnace is provided to test the effectiveness and practicality of the proposed networked MPC algorithm.

关键词： Model predictive control (MPC) network optimization exchange information walking beam reheating furnace

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Neural backstepping control: Green energy applications

Neural backstepping control: Green energy applications

引用

2012 IEEE 3rd Latin American Symposium on Circuits and Systems, LASCAS 2012

作者： Ruiz, R. Sanchez, E.N. Loukianov, A.G.

ISBN: (纸本)9781467312080

In this paper, the authors present a discrete-time adaptive neural backstepping control for a doubly fed induction generator (DFIG), based on a discrete-time high order neural network (HONN), which is trained with a new particle swarm optimization extended Kalman filter (PSOEKF) algorithm. The discrete-time adaptive neural backstepping control performance is illustrated via simulations. © 2012 IEEE.

关键词： Wind power

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Coordinated Optimal Dispatch of Distributed Energy Resources within a Smart Energy Community Cell

Coordinated Optimal Dispatch of Distributed Energy Resources...

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3rd IEEE PES International conference and Exhibition on Innovative Smart Grid Technologies europe (ISGT europe)

作者： Fazeli, A. Sumner, M. Johnson, C. M. Christopher, E. Univ Nottingham Dept Elect & Elect Engn Power Elect Machine & Control Res Grp Nottingham NG7 2RD England

ISBN: (纸本)9781467325950;9781467325967

A hierarchical control structure for optimal dispatch of distributed energy resources within different levels of the distribution network has been presented and a deterministic optimization and agent coordination algorithm has been proposed for optimizing the operation of flexible resources at the community cell level. Coordinated optimal dispatch of resources ensures that only the required number of loads/resources are dispatch at every moment, which contributes towards alleviating simultaneous load reconnection which would otherwise occur if all loads/resources were dispatched independently (in an uncoordinated manner). It has also been shown in this paper how number of cold loads and a community storage unit, could be dispatched in a coordinated and cooperative manner to contribute towards the objective function of maintaining the community's power flow below a pre-specified threshold.

关键词： deterministic optimization algorithm agent coordination distribution network distributed energy resources

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Digital signature of network segment using flow analysis

Digital signature of network segment using flow analysis

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3rd International conference on Data Communication networking, DCNET 2012, 7th International conference on e-Business, ICE-B 2012 and 3rd International conference on Optical Communication Systems, OPTICS 2012

作者： Zacaron, Alexandro M. Carvalho, Luiz F. Adaniya, Mario H.A.C. Abrão, Taufik Proença Jr., Mario Lemes Computing Science Departament State University of Londrina Londrina Brazil

ISBN: (纸本)9789898565235

This paper presents two models for building Digital Signature of network Segment using flow analysis (DSNSF). The DSNSF can be classified as a characterization of the traffic or as a baseline of the analyzed network segment. In this work two types of signatures of network segment are presented. The first is built applying K-means clustering algorithm and the second using optimized clustering by metaheuristic Ant Colony optimization (ACO). The signatures provide characterization of the traffic segments analyzed using NetFlow v9 protocols TCP and UDP. The results achieved show that the two models presented using k-means Clustering and metaheuristic Ant Colony optimization obtained good results for the creation of DSNSF or traffic characterization of the segments analyzed.

关键词： Ant colony optimization

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