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

共 1643 条记录，以下是1291-1300 订阅

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2013 International conference on Mechanics, Simulation and control, ICMSC 2013

2013 International Conference on Mechanics, Simulation and C...

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2013 3rd International conference on Mechanics, Simulation and control, ICMSC 2013

ISBN: (纸本)9783037857885

The proceedings contain 99 papers. The special focus in this conference is on Mechanics, Simulation and control. The topics include: effect of sulfur and chlorine on the speciation of mercury in coal;dynamic stability and natural frequency of composite corrugated bellows expansion joint;design of fault tolerant control laws for jet engines;design maps and shape optimization of a prototype vehicle chassis;elasticity based stress analysis under arbitrary load using Fourier series;the finite element analysis of new forged coupler knuckle;finite element analysis of the roller bearing used in rolling mill;green design for concurrent engineering in agriculture machinery;design of CPM training machine of recovery for knee joints;failure and plasticity conditions of concrete in the finite element analysis;adjustable speed drives response to voltage sags;study on neutral grounding mode of generator in III nuclear power of AP1000;investigation of energy deposition technique for drag reduction at hypersonic speeds;experimental investigation of PCM spheres in thermal energy storage system;a practical design method of flyback switching power supply transformer;design of FPGA debugging interface based on EZ-USB slave FIFO;statistical inference for zero-inflated Poisson regression models with excess zeros;the perturbation method for stability analysis of uncertain structures;application of sliding mode control for wind power generation system;fuzzy logic based active vibration controller;enhanced model reference adaptive control using smith predictor;fuzzy logic based set-point weighting for fractional order PID control;intelligent mobile robot navigation in an uncertain dynamic environment;an optimal MPPT algorithm for wind turbine based on fuzzy control;design of multi-mode microwave control combination for InSAR system;industrial automation using wireless mesh network;exoskeleton robot walking on slope terrain;LOPN-based BPR of container terminal production controlling system;n

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A multiobjective-based switching topology for hierarchical model predictive control applied to a hydro-power valley

A multiobjective-based switching topology for hierarchical m...

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3rd IFAC conference on Intelligent control and Automation Science, ICONS 2013

作者： Núñez, A. Ocampo-Martinez, C. De Schutter, B. Valencia, F. López, J.D. Espinosa, J. Section of Road and Railway Engineering Delft University of Technology Delft Netherlands Institut de Robòtica I Informàtica Industrial CSIC-UPC Technical University of Catalunya Barcelona Spain Delft Center for Systems and Control Delft University of Technology Delft Netherlands School of Mechatronics Universidad Nacional de Colombia Medellín Colombia

ISBN: (纸本)9783902823458

In a Hierarchical Model Predictive control (H-MPC) framework, this paper explores suitable time-variant structures for the hierarchies of different local MPC controllers. The idea is to adapt to different operational conditions by changing the importance of the local controllers. This is done by defining the level of the hierarchy they belong to, and solving within each level the local MPC problem using the information provided by the higher levels at the current time step and the predicted information from the lower levels obtained in the previous time step. As selecting a hierarchy results in a combinatorial optimization problem, it is explicitly solved for a limited number of relevant topologies only and then the switching between topologies is defined with a multiobjective optimizer, so as to decide the best H-MPC scheme according to the expected performance. A comparison with fixed-topology H-MPC controllers is done, showing the effectiveness of the proposed approach for the power control of a hydro-power valley. Copyright © 2013 IFAC.

关键词： Model predictive control

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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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IEEE International conference on System Engineering and Technology

作者： Norlina Mohd Sabri Mazidah Puteh Mohamad Rusop Mahmood Faculty of Computer & Mathematical Sciences UiTM (Terengganu) Dungun Terengganu Faculty of Electrical Engineering Universiti Teknologi MARA Shah Alam Selangor

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.

关键词： optimization Algorithm design and analysis Linear programming Gravity Software algorithms Signal processing algorithms Search problems

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Modeling and optimization of Coal Moisture control System Based on BFO

Modeling and Optimization of Coal Moisture Control System Ba...

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2013 3rd International conference on Electric and Electronics(EEIC 2013)

作者： Xiaobin Li Ting Hu Yang Yu Haiyan Sun School of Electrical and Electronic Engineering Shanghai Institute of Technology School of Ecological Technology and Engineering Shanghai Institute of Technology

Coal moisture control process is a critical process in energy saving, pollution reduction and improving production efficiency and the quality of coke. To achieve precise control of coal moisture control system, against their strong coupling, large, nonlinear systems with time-delay characteristics using the RBF artificial neural network approach for modeling. And use the bionic BFO(Bacterial Foraging optimization) according to the fitness to optimize the RBF Neural network parameters. Also compare the RBF Neural network performance optimized by these bionic BFO in order to achieve better results. This method provides a theoretical basis for accurate control of coal moisture process. To created the conditions for the reduction of energy and pollution with improving the quality of coke.

关键词： coal moisture control BFO modeling optimization

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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： Chuanzhu Liao Mingyan Jiang Kunkun Shang Department of Electronic Engineering of Zhangzhou Institute of Technology School of Information Science and Engineering Shandong University

network lifetime is a critical metric in the design of energy-constrained wireless sensor *** 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 *** focus on synchronous small-scale sensor network with interference-free link scheduling and practical MPSK link transmission *** 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 *** penalty function technique is brought in to work out the constrained optimization problem by converting it to an unconstrained optimization *** 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.

关键词： Cross layer optimization network lifetime maximization Particle swarm optimization Constrained optimization Penalty function wireless sensor network

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Application of the improved BP neural network in optimization design of control system of simple pendulum surface plate

Application of the improved BP neural network in Optimizatio...

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2013 3rd International conference on Advanced Measurement and Test(AMT 2013)

作者： ZHANG Hongzhou WANG Wei College of Mechanic and Electrical Engineering Tarim University

According to the characteristics of large angle of pendulum movement,in order to ensure the stability of the fixed plate motion pendulum,to analysis quantitatively the relation of oscillation angle and plate movement,it designed an automatic flat control system with STC89C52 RC as the core of control chip,collected the information of oscillation angle by the sensor of angle,controls the angle of surface plate by advanced four phase stepper motor,uses the improved BP neural network to real-time correction in the software design part,the control system has high control precision,the stability and speedability of control system of surface plate were improved by measuring.

关键词： improved BP simple pendulum control system optimal design

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Research on the Model of Inventory-Transportation Integrated optimization for the Supply Chain with Road Capacity Considerations

Research on the Model of Inventory-Transportation Integrated...

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3rd International conference on Frontiers of Manufacturing and Design Science (ICFMD 2012)

作者： Li De Jiang Dali Yao Ping Logist Engn Univ PLA Dept Informat Management Chongqing 401331 Peoples R China

ISBN: (纸本)9783037855782

With the rapid development of economy, effective management for a supply chain in the modern enterprise has become increasingly important. The inventory-transportation integrated optimization is from the systematic and integrated idea, to integrate the inventory control and transportation scheduling as a whole and optimize the supply chain. Base on this, the paper aims at the structure of singer distribution center and multi-vendor in the supply chain network, research the collaborative decision strategy for a multi-level inventory and establish the corresponding inventory-transportation integrated optimization model in the case of road capacity limit. At the end of paper, we have given an effective algorithm to solve the model.

关键词： Supply Chain Inventory-Transportation Integrated optimization Genetic Algorithm

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IIR Filter Design and Implementation for 2D Active Absorbing Wavemaker System

IIR Filter Design and Implementation for 2D Active Absorbing...

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International conference on Computer Science and network Technology

作者： Hongqi Yang Muguo Li State Key Lab. of Coastal & Offshore Eng. Dalian Univ. of Technol. Dalian China

ISBN: (纸本)9781479905607

Wavemakers are essential facilities for physical model tests in coastal engineering field. The working principle of a wavemaker system is generating desired waves by controlling the mechanical motion of wave paddle. The absorbing control system is realized by an infinite impulse response (IIR) digital filter that approximates the transfer function in frequency domain. This paper presents the design and implementation of the IIR filer for a piston-type absorbing wavemaker system in a 2D wave flume. Based on first-order wavemaker theory, a frequency domain absorption transfer function is modeled. Then an IIR filter is obtained by approximating the transfer function with non-linear least square optimization. In practical systems, time delay exists in the control loop. Therefore, a delay compensation term to the transfer function is proposed. Experimental results on a real system show that the system performs well for both regular and irregular waves.

关键词： IIR filters frequency-domain analysis least squares approximations ocean waves oceanographic techniques optimisation transfer functions 2D active absorbing wavemaker system 2D wave flume IIR filter design absorbing control system coastal engineering field delay compensation first-order wavemaker theory frequency domain absorption infinite impulse response digital filter mechanical motion nonlinear least square optimization physical model tests time delay transfer function wave paddle Absorption Delay effects Digital filters Sea measurements Surface waves Transfer functions IIR filter active absorption control system wavemaker Infinite impulse response filters TRANSFER FUNCTIONS Frequency-domain analysis Mechanical Bull Riding delay compensation Sea measurements Delay effects Marine technology least squares approximations time delay ocean waves Digital filters control systems surface waves filter design

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GTAW Procedure Expert System Based on Neural network

GTAW Procedure Expert System Based on Neural Network

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2013 3rd International conference on Mechanical Materials and Manufacturing Engineering(ICMMME 2013)

作者： Xuewu Wang Shangyong Yang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Intelligent procedure expert system was developed to select appropriate GTAW procedure in this ***,the function design and implementation methods of the welding procedure expert system were *** expert system can present the welding procedure card,multimedia display of welding process,and output function to makes the data sharing more ***,the database design of the welding procedure expert system based on C/S mode was presented where the expert knowledge was *** last,the neural network model was established to realize procedure selection based on the neural network learning ability and the welding case from the *** the BPNN model,the welding parameters can be obtained based on the input welding conditions.

关键词： Welding procedure Expert system Database Multimedia Neural network

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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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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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