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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1644 条记录，以下是1261-1270 订阅

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Application of An Improved Internal Model controller Based on the Particle Swarm optimization in network control System

Application of An Improved Internal Model Controller Based o...

引用

3rd International conference on Advanced Design and Manufacturing Engineering (ADME 2013)

作者： Chen, Wei Wang, Wenbin Zhao, Zhikai Yan, Zhiyuan Shenzhen Polytech Sch Shenzhen Peoples R China Harbin Inst Technol Harbin Peoples R China

ISBN: (纸本)9783037858431

Internal Model control(IMC) is widely used in network control System(NCS) with its strong robustness and simple parameter adjustment. But the accurate dynamic inversion of the IMC model is not easy to find out. To solve this problem, an improved Internal Model controller is designed with a PID controller and feedback loop, then the Particle Swarm optimization(PSO) is used to optimize all the parameters of the improved controller. At last, simulation results show that the improved Internal Model controller can maintain the system stability and the performance of the step response is extremely great in terms of rapidity and anti-interference ability, compared with the classic internal model controller, which enables NCS to achieve a better control effect.

关键词： Improved IMC PSO PID plus Feedback control Anti-interference ability

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Study of driving in-wheel motor of micro-electric vehicle based on Improvement of BP algorithm

Study of driving in-wheel motor of micro-electric vehicle ba...

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3rd International conference on Instrumentation & Measurement, Computer, Communication and control (IMCCC)

作者： Huang Xingshou Hechi Univ Dept Comp & Informat Sci Yizhou 546300 Peoples R China

ISBN: (纸本)9780769551227

A spatial 3-D nonlinear correction technique is put forward to correct the nonlinearity errors of the PSD in long distance laser collimating measurement .E An automatic calibration system is developed to measure the nonlinearity of a 2-D PSD in 3-D space E The nonlinear characteristic of 2-D PSD is checked in a long collimating distance of 78 meters E The experimental results show that the nonlinearity of 2-D PSD is different evidently when the PSD element is at different position from the laser head E The spatial 3-D mapping relationship between the actual displacements of the incident light and the coordinates of 2-D PSD outputs is established by using a multilayer feedforward neural network and the nonlinear errors are corrected with this map E The readout errors of the PSD after correction are shown as random and no more than 0.012 mm in the whole measuring distance

关键词： micro-electric vehicle in-wheel motor improvement of BP algorithm optimization design

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Cross layer optimization for lifetime maximization in wireless sensor network based on particle swarm optimization

Cross layer optimization for lifetime maximization in wirele...

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2013 3rd International conference on Advanced Measurement and Test, AMT 2013

作者： Liao, Chuan Zhu Jiang, Ming Yan Shang, Kun Kun Department of Electronic Engineering of Zhangzhou Institute of Technology Fujian 363000 China School of Information Science and Engineering Shandong University Jinan 250100 China

ISBN: (纸本)9783037857168

network lifetime is a critical metric in the design of energy-constrained wireless sensor networks. In this paper, we consider the joint cross layer optimization of the physical layer, medium access control layer and routing layer to maximize network lifetime of a multi-sources and single-sink wireless sensor network with energy constraints. We focus on synchronous small-scale sensor network with interference-free link scheduling and practical MPSK link transmission scheme. As the network lifetime maximization problem is a constrained non-convex optimization problem that is difficult to be solved, and the particle swarm optimization algorithm is a good intelligent algorithm, we employ it to solve the problem mentioned above effectively in this paper. The penalty function technique is brought in to work out the constrained optimization problem by converting it to an unconstrained optimization problem. Simulation results show the effectiveness of the proposed algorithm in energy saving and network lifetime maximization, and the particle swarm optimization can solve the network lifetime maximization problem fast and efficiently. © (2013) Trans Tech Publications, Switzerland.

关键词： Constrained optimization

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A network controlled handover mechanism and its optimization in LTE heterogeneous networks

A network controlled handover mechanism and its optimization...

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2013 IEEE Wireless Communications and networking conference, WCNC 2013

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

ISBN: (纸本)9781467359399

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 © 2013 IEEE.

关键词： Heterogeneous networks

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An overview of Gravitational Search Algorithm utilization in optimization problems

An overview of Gravitational Search Algorithm utilization in...

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2013 IEEE 3rd International conference on System Engineering and Technology, ICSET 2013

作者： Sabri, Norlina Mohd Puteh, Mazidah Mahmood, Mohamad Rusop Dungun Terengganu Malaysia NANO-ElecTronic Centre Faculty of Electrical Engineering Universiti Teknologi MARA Shah Alam Selangor Malaysia

ISBN: (纸本)9781479910304

Gravitational Search Algorithm (GSA) is one of the recent nature inspired algorithms which is capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity and the law of motion. The aim of the paper is to investigate GSA utilization in various optimization problems. The paper provides a brief explanation on GSA and also presents the previous optimization works based on GSA. Based on the literature, GSA is capable of providing more accurate, effective and robust high-quality solution for most of the optimization problems. The algorithm has been applied in various applications and has solved various optimization problems such as in power system, controller design, network routing, sensor networks, software design and many more. GSA has been adapted in the optimization of parameters, settings, strategies, cost, voltage control and also power dispatch. The algorithm also has been adapted to optimize the design of controllers, software, antenna and microgrids. Based on previous works, GSA has showed better performance in solving the optimization problems compared to other previous algorithms such as PSO, ACO and ABC. It is expected that more studies are to be done based on GSA in future as the algorithm has a high potential to solve various optimization problems in different areas. © 2013 IEEE.

关键词： Software design

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Coordination of Construction Project Cost and Schedule based on Grey Forecasting Method

Coordination of Construction Project Cost and Schedule based...

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3rd International conference on Civil Engineering, Architecture and Building Materials (CEABM 2013)

作者： Sun, Chunling Song, Hong Tian, Rui Tianjin Univ Technol Sch Management Tianjin 300384 Peoples R China China Mobile Guangdong Co Shantou Branch Guangdong 515000 Peoples R China

ISBN: (纸本)9783037857762

In the premise of quality establishment, cost control and schedule control are the major goals of the construction project management. This paper is based on grey system theory as the foundation, and uses the grey control method to realize the cost and schedule control and establishes the coordination of GM (1, 1) prediction model, which is the core of the system. The GM (1, 1) grey forecasting model and network planning optimization combination as the effective date rectification control put forward the future control direction. Finally, it uses the case to evaluate the feasibility and rationality of the project cost and schedule control scheme.

关键词： project cost schedule control gray prediction network plan

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Research on Resource optimization of Special Maintenance Vehicle Operation Based on Genetic Algorithm

Research on Resource Optimization of Special Maintenance Veh...

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3rd International conference on Mechatronics and Intelligent Materials (MIM 2013)

作者： Wang Tao Zhang Fulong Li Guangfeng Beijing Inst Technol Beijing 100081 Peoples R China Beijing Inst Special Vehicles Beijing 100072 Peoples R China

ISBN: (纸本)9783037857106

This articles aims to research the special maintenance vehicle so as to optimize its resource allocation in operation, which belongs to the issue of "fixed completion time-resource levelling". It makes analysis on the operation deployment process, critical path and procedure of the truck based on the RLP problem solving algorithm, and makes optimization allocation to the scheme by using genetic algorithm. The new allocation scheme after the optimization can increase the efficiency by 12.5% and realize the reasonable allocation of human resources.

关键词： RLP network Plan Genetic Algorithm

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Evaluation of Parallel Algorithms of Traffic Volume Statistics per Cell in Cellular network based on MapReduce Programming Model

Evaluation of Parallel Algorithms of Traffic Volume Statisti...

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3rd International conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM 2013)

作者： Yang, Qing Liu, Jun Wang, Huan Zhou, Wenli Yu, Hua Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conve Sch Informat & Commun Engn Beijing 100088 Peoples R China

ISBN: (纸本)9783037858462

Understanding traffic per unit time in cell dimension in cellular data network can be of great help for mobile operators to improve the performance of the cellular data network. It is important for network design and resource optimization. In this paper, we describe three methods to count the traffic per unit time per cell. Moreover, we compare the results of the three methods by the deviation distribution of the traffic and time complexity analysis. Our work is distinguished from other related work by using big data which contains around 1.4 billion records and 20 thousands cells. Generally, we expect this paper could deliver important insights into cellar data network resource optimization.

关键词： MapReduce traffic 5-minute per GPRS cell big data time complexity

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Off-road seat suspension optimization by particle swarm algorithm

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3rd International conference on Mechanical and Manufacturing Engineering, ICME 2012

作者： Gohari, Mohammad Rahman, Roslan Abd Tahmasebi, Mona System Dynamics and Control Universiti Teknologi Malaysia Malaysia

ISBN: (纸本)9783037856352

Due to creating health problems for human by using vehicles in long term, seat suspension design is important especially in off-road vehicles. Recently, intelligent methods are focused by researchers for optimization problems. In this paper, artificial neural network biodynamic model (ANNBM) was used to simulate human body responses to the vertical direction and seat suspension was optimized to reduce vibration transmitted from seat to lower lumbar. Particle Swarm optimization (PSO) was employed for this purpose. The results of simulation shows 0.6 seat to spine vibration transmissibility (SST), and the efficiency of suspension seems good to remove unwanted vibration. © (2013) Trans Tech Publications, Switzerland.

关键词： Neural networks

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Reactive power optimization in distribution network with PV station based on Intelligence Algorithm

Reactive power optimization in distribution network with PV ...

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3rd International conference on Advanced Engineering Materials and Technology (AEMT 2013)

作者： Ran, Xinwei Xu, Jianzheng Shandong Univ Sch Elect Engn Jinan 250100 Peoples R China

ISBN: (纸本)9783037857649

Reactive power problem of PV station in distribution power system is discussed. Probability theory is introduced to calculate the expectation of active power, which is approximately used to replace the randomly changing output. Reactive output can be adjusted by changing some related parameters of the grid-connected PV system. Considering reactive power of PV station as control variables, a model with voltage level constraints of minimizing the active power loss is established and its optimal solution is figured out with IDCC (Improved Bacterial Colony Chemotaxis). Case calculation results show the validity of above-mentioned model and algorithm.

关键词： distributed generation PV station reactive power optimization intelligence algorithm active power loss

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