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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1281-1290 订阅

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2013 3rd International conference on Mechanical Science and Engineering, ICMSE 2013

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2013 3rd International conference on Mechanical Science and Engineering, ICMSE 2013

ISBN: (纸本)9783037857120

The proceedings contain 189 papers. The special focus in this conference is on Artificial Intelligence and Manufacturing Engineering. The topics include: design of a parallel manipulator based on multi-objective self-adaptive differential evolution algorithm;research on aircraft assembly sequence planning technology based on key characteristics;a simplified method for joint optimization of production schedule and preventive maintenance in tobacco flow shop;the design of test bench for transmission efficiency of automobile driveline;the mode and key technology of battery quick change research for electric commercial vehicle;key technologies of telepresence in time-delayed teleoperation system;a wall climbing robot based on the improved electro adhesion technology;modeling, simulation and optimization of corner milling;an adaptive cooperative control method for nonlinear system based on directed graph;application of BP neural network controller on inverted pendulum;modeling and identification of friction behaviors of hydraulic forging press machine;target tracking based on QPSO algorithm;body measurements forecast based on factor analysis and radical basis function net;study based on piecewise drying process of corn seed multi-purpose drying system;the basic data establishment for automobile panels' main stamping defects control;comparative study on fuzzy PID controller and conventional PID controller;an interaction process model for virtual objects based on interaction structures;application of PSO algorithm in PMSM sensorless control system;three dimensional path planning of autonomous underwater vehicles;design and analysis for three phase meshing gear motor;research on forming technology of thermoplastic composite blade for wind turbine;fault detection and diagnosis and fault tolerance compensation for electric actuator;applied NURBS on the research of interactive curved hull computer aided design;an efficient algorithm for collision detection on five-axis machini

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Tutorial sessions

Tutorial sessions

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International conference on Instrumentation control and Automation (ICA)

These tutorials discuss the following: Smart grid technology and renewable energy; Distributed model predictive control for freeway urban traffic and smart electric power grids; Enhancing network performances with opt... 详细信息

关键词： Electricity optimization Reliability network topology Topology Fuels Electric potential

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Application of mathematical programming method for water supply and recycle network in titanium pigment

Application of mathematical programming method for water sup...

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

作者： Mi, Xiao Juan Xu, Jing Cheng Huang, Ju Wen Luo, Lan Liang, Yong Li Li, Guang Ming College of Environmental Science and Engineering Tongji University Shanghai 200092 China China Northeast Municipal Engineering Design and Research Institute Changchun China

ISBN: (纸本)9783037857885

Water integration method is widely used in water minimization. Water minimization has great benefits to environmental and industrial sustainability. Both freshwater consumption and wastewater discharge can be minimized by practicing water system integration. Sulfate process (SP) is an important and mature method to produce titanium dioxide (TiO2) pigment. A large amount of water is consumed and a large quantity of effluent is discharged, which may cause water resource waste and serious environmental pollution. The paper presents Mathematical optimization Method for water minimization of a titanium pigment plant event in China. The result of this study shows that mathematical optimization method has been effectively applied for the titanium pigment plant, and the freshwater consumption is reduced by 45.97%. © (2013) Trans Tech Publications, Switzerland.

关键词： Effluents

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Swim velocity profile identification by using a modified differential evolution method associated with RBF Neural network

Swim velocity profile identification by using a modified dif...

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2013 3rd International conference on Innovative Computing Technology, INTECH 2013

作者： Santos Coelho, Leandro Dos Da Cruz, Luciano Ferreira Freire, Roberto Zanetti Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba PR Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba PR Brazil

ISBN: (纸本)9781479900473

High level sports require a steady intensification of training in order to raise the athletes' performance. With the purpose of support swimmers and coaches new biomechanical analysis are been performed, becoming one of the most studied areas in swimming. By using technology resources, Esignificant results related to performance improvements are being achieved. Specific analysis of the movements, strength, velocity and projection allow identifying relevant points that directly impact athletes' results. In this context, this work uses a Radial Basis Function Neural network (RBF-NN) with training combining the Gustafson-Kessel clustering method and the proposed Modified Differential Evolution (MDE) in order to perform the swimmer velocity profile identification. The main idea is to obtain the dynamic of the velocity profile and to use it to improve the athletes' swim style. Differential Evolution (DE) is an evolutionary algorithm that uses a rather greedy and less stochastic approach to solve problems when compared to other evolutionary methods [1]. However, to achieve good performance with DE, the tuning of control parameters is essential as its performance is sensitive to the choice of the mutation and crossover settings. On the other hand, the RBF-NN is a powerful approach for nonlinear identification. This paper combines the two strategies described above proposing a modified DE algorithm based on the association of a sinusoidal signal and chaotic sequences generated by logistic map for the mutation factor tuning. By using data collected from breaststroke and crawl swim style of an elite female swimmer, the validity and the accuracy of the RBF-NN model have been tested by simulations. Results reveal that it is feasible to establish a good model to represent data experimental related to swimming field. Identification results show that MDE outperforms both other tested classical DE approaches for training RBF-NNs in terms of solution quality. © 2013 IEEE.

关键词： optimization

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4D trajectory planning in ATM with ananytime stochastic approach 13

4D trajectory planning in ATM with ananytime stochastic appr...

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3rd International conference on Application and Theory of Automation in Command and control Systems, ATACCS 2013

作者： Cobano, José Antonio Alejo, David Heredia, Guillermo Ollero, Aníbal Robotics Vision and Control Group University of Seville Camino de los Descubrimientos s/n 41092 Seville Spain

ISBN: (纸本)9781450322492

This paper presents the Anytime Stochastic Conflict Detection and Resolution system (ASCDR), which automatically identifies conflicts between multiple aircraft and proposes the most effective solution 4D trajectory considering the available computation time. The system detects conflicts using an algorithm based on axis-aligned minimum bounding box and resolves them cooperatively using a collision-free 4D trajectory planning algorithm based on a roundabout fast initial solution and a stochastic optimization technique named Particle Swarm optimization (PSO) to modify the 4D initial trajectories of the aircraft with an overall minimum cost. Moreover, an anytime approach using PSO is applied because determining optimal trajectories with short time intervals in the flight phase is not feasible. Thus, trajectories whose quality improves when available computation time increases are yielded. The method could be applied to Medium-Term and even Short-Term Conflict Detection and Resolution depending on the look-ahead times. The method has been validated with simulations in scenarios with multiple aerial vehicles in a common airspace.

关键词： Trajectories

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Multiphase mixed-integer optimal control applied to 4D trajectory planning in air traffic management 13

Multiphase mixed-integer optimal control applied to 4D traje...

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3rd International conference on Application and Theory of Automation in Command and control Systems, ATACCS 2013

作者： Olivares, Alberto Soler, Manuel Staffetti, Ernesto Department of Signal Theory and Communications URJC Fuenlabrada Madrid Spain

ISBN: (纸本)9781450322492

In this paper an approach to aircraft trajectory optimization is presented in which integer variables and continuous variables are considered. Integer variables model decision making processes, and continuous variables describe the state of the aircraft which evolves according to differentialalgebraic equations. The problem is formulated as a multiphase mixed-integer optimal control problem. It is transcribed into a mixed integer nonlinear programming problem by applying a 5th degree Gauss-Lobatto direct collocation method and then solved using a nonlinear programming based branch-and-bound algorithm. The approach is applied to the following en-route flight planning problem: given an aircraft point mass model, a wind forecast, a 3D airspace structure, and the relevant flying information regions with their associated overflying costs, find the control inputs that steer the aircraft from the initial fix to the final fix following a route of waypoints and performing step climbs, while minimizing certain performance indexes in which fuel based, environmental based, time based, and overflying based costs are considered during the flight. The decision making process arises in determining the optimal sequence of waypoints and the optimal sequence of flight levels. The optimal times at which the step climbs are performed and the waypoints are to be overflown are also to be determined. Numerical results are presented and discussed, showing the effectiveness of the approach.

关键词： Nonlinear programming

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Simple Ant Routing Algorithm for WSNs Used in Power Line Monitoring

Simple Ant Routing Algorithm for WSNs Used in Power Line Mon...

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

作者： Li, Lifen North China Elect Power Univ Sch Control & Comp Engn Baoding 071003 Peoples R China

ISBN: (纸本)9783037858462

The special class of wireless sensor networks for monitoring power transmission lines may extend for hundreds of miles in distances. The sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a chain-type topology. Thus routing protocols in such environments must be kept as simple as possible. In this paper, we present the Simple Ant Routing Optimizing Algorithm (SAROA) to offer a low overhead solution in optimizing the routing process. Four improved strategies were used in our approach. During the route discovery we have used a new local search mechanism, in which each node broadcasts a control message (FANT) to its neighbors, but only one of them broadcast this message again. During the route maintenance phase, we only use data packets to refresh the paths of active sessions. Finally, the route repair phase is also enhanced, by using a deep search procedure as a way of restricting the number of nodes used to recover a route. A broadest search is only executed when the deeper one fails to succeed. The simulation results show that the enhance algorithm can effectively jump out of the local optimum and satisfy the tolerable delay in network-wide data collection.

关键词： Wireless Sensor networks Power Line Monitoring Ant Colony optimization Routing Local Search

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Dynamical balance optimization and control of quadruped robots under perturbing external force

Dynamical balance optimization and control of quadruped robo...

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

作者： Li, Zhijun Yu, Sijia Liu, Sibang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou China Robotics Institute School of Mechanical Engineering University of Electronic Science and Technology of China Chengdu 610054 China Robotics Institute University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9783902823458

This paper investigates the optimal feet forces distribution and control of quadruped robots under external disturbance forces. First, we formulate a constrained dynamic model of quadruped robots and derive a reduced order dynamical model of motion/force. Consider an external wrench on quadruped robots, the distribution of required forces and moments on the supporting legs of a quadruped robot is handled as a tip-point force distribution and used to equilibrate the external wrench. Then, a gradient neural network is adopted to minimize the optimized objective function with linear equality and inequality constraints, and hybrid motion/force control based on adaptive neural network is used to compensate for the external perturbation in the environment and approximate feedforward force and impedance of the leg joints on line. The verification of the proposed control is conducted using the extensive simulations. Copyright © 2013 IFAC.

关键词： Adaptive control systems

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Missile Trajectory optimization Using Steepest Ascent Method

Missile Trajectory Optimization Using Steepest Ascent Method

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International conference on Computer Science and network Technology

作者： Elsayed M. Khalil Zhou Hao Wanchun Chen School of Astronautics Beihang University Beijing China

A Steepest Ascent numerical procedure for offline trajectory optimization of a surface-to-surface missile attacking a stationary target is presented. A detailed numerical solution, starting from building the mathematical formulation till generating an offline angle of attack control history is illustrated. The formulation entails nonlinear 2-dimensional missile flight dynamics with mixed boundary conditions. The influences of the optimization algorithm controlling parameters are investigated. A new weighting matrix is proposed. Finally, a comparison between the obtained control history and the one obtained by a nonlinear optimal control package "GPOPS" is presented. The results indicate that the use of Steepest Ascent method, to a great extent, is comparable in accuracy and iteration time to the well known optimization package "GPOPS".

关键词： Trajectory optimization Missiles History Convergence Boundary conditions Equations

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Improved CCN Routing Based on the Combination of Genetic Algorithm and Ant Colony optimization

Improved CCN Routing Based on the Combination of Genetic Alg...

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International conference on Computer Science and network Technology

作者： Pei Huang Jianya Chen School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781479905607

Content-Centric networking (CCN) proposes a shift from the traditional host-centric communication to a content-centric paradigm, which focuses on the delivery of content to target users. Routing mechanism is a major issue of CCN and has a pivotal role on CCN system performance, where content is addressed by their names instead of their host locations. However, traditional CCN routing is based on broadcast/multicast, which lacks control of the forwarding interfaces and may bring redundant retrieval. In this paper, we present a combination of Genetic algorithm and Ant Colony optimization (GAAC) for CCN routing optimization, based on the distributed caching mechanism of SoCCeR strategy. Our simulation results show that GAAC can accelerate convergence, reduce delay and achieve better performance.

关键词： CCN Routing optimization Genetic Algorithm Ant Colony optimization

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