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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1311-1320 订阅

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Adaptive Trajectory Tracking control of Linear Ultrasonic Motor Based on Fuzzy Recurrent Neural network

Adaptive Trajectory Tracking Control of Linear Ultrasonic Mo...

引用

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

作者： Wang, Jun Li, Xiaohui Jinling Inst Technol Sch Mech & Elect Engn Nanjing 210016 Jiangsu Peoples R China

ISBN: (纸本)9783037853696

In view of the strong non-linear and time-varying characteristics of linear ultrasonic motors, a fuzzy recurrent neural network controller is put forward. In order to improve the control of the convergence speed and robustness of the proposed controller, the differential evolution algorithm is used for the rapid preliminary off-line optimization of the weights and parameters of network, and then combines the adaptive law and BP algorithm and gradient descent optimization mechanism for learning and accurate optimization. The results show that the fuzzy recurrent neural network controller is better than PID and self-structuring neural network controller, and has a good anti-interference capability.

关键词： linear ultrasonic motor fuzzy recurrent neural network trajectory tracking control

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Cloud Model and Ant Colony optimization Based QoS Routing Algorithm for Wireless Sensor networks

Cloud Model and Ant Colony Optimization Based QoS Routing Al...

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3rd International conference on Teaching and Computational Science (WTCS)

作者： Jian, Di N China Elect Power Univ Sch Control & Comp Engn Baoding Peoples R China

ISBN: (纸本)9783642112751;9783642112768

This paper presents CMACRO (Cloud Model and Multiple Ant Colonies optimization based Routing), a new cross-layer QoS routing algorithm for wireless sensor networks. Basing on the principle of cross-layer design, the algorithm adapts delay, nodes' load and link quality as QoS metrics, and provides differentiated services for real time event-driven data streams and delay-tolerant periodic sampling data. The QoS routing metrics are regarded as heuristics correction factors in ant colony algorithm (ACA). The ants are divided into a number of different populations. Through the interaction of pheromone between multi populations, the routing algorithm searches for the feasible paths in parallel and updates the pheromone in time. To overcome the slow convergence of ant colony algorithm, improvements to control the randomness of the ants via cloud model are proposed. The simulation results demonstrate that the routing algorithm can guarantee the real time, reliability and robustness of wireless sensor networks. It can also achieve the network load balancing and congestion control mechanism.

关键词： wireless sensor networks cloud model multiple ant colonies algorithm QoS routing

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Identification of a class of hyperbolic distributed parameter systems via deterministic learning

Identification of a class of hyperbolic distributed paramete...

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

作者： Dong, Xunde Wang, Cong Center for Control and Optimization College of Automation Science and Technology South China University of Technology Guangzhou 510640 China

ISBN: (纸本)9781457721427

In this paper, we investigate a class of hyperbolic distributed parameter systems(DPS), the Sine-Gordon(SG) equation with damp and driven. The plant is a hyperbolic type partial differential equation(PDE) and has been broadly applied for physics and other relevant realms. Instead of identifying the parameters of DPS, the purpose of the paper is to identify the infinite-dimensional dynamics of DPS. By using the method of lines we translate the DPS described by PDE into a set of ODEs, then the dynamics of the DPS are obtained by using the deterministic learning theory and represented by constant radius basis function(RBF) neural network. Furthermore the knowledge also can be used for control or identification. © 2012 IEEE.

关键词： digital power system Hyperbolic Distributed parameter systems method of lines deterministic

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Flow control System Performance optimization Base-On Zero-Copy

Flow Control System Performance Optimization Base-On Zero-Co...

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3rd International conference on Information Computing and Applications (ICICA 2012)

作者： Zhang, Sujuan Li, Wei Zhang, Yanli Wu, Tao Hebei United Univ Network Informat Ctr Tangshan 063009 Peoples R China

ISBN: (纸本)9783642340406

With the development of high-speed network, the flow control system has become a network bottleneck. Based on the analysis of the flow control system and the zero-copy technology, we propose to use zero-copy technology for operating system to improve system performance. Reference to a part of design concept of the PF_RING, we design a new zero-copy system and the experiment proved its high efficiency and reliability.

关键词： Zero-copy Memory Shared Memory Map User Space Kernel Space

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Distributed Receding Horizon coverage control for mobile sensory networks

Distributed Receding Horizon coverage Control for mobile sen...

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3rd International conference on Intelligent Systems Modelling and Simulation, ISMS 2012

作者： Mohseni, Fateme Doustmohammadi, Ali Menhaj, Mohammad Bagher Department of Electrical Engineering Amirkabir University of Technology Tehran Iran

ISBN: (纸本)9780769546681

This paper presents an algorithm for controlling mobile sensory networks based on Distributed Receding Horizon control (DRHC) concept. The network aim is to cover a given space in a way that maximizes the events detection. We show how the proposed algorithm leads the sensors to converge to the desired points. To solve the RHC problem, each sensor needs to know the trajectory of the neighboring sensors during the optimization horizon. As a result, an algorithm for the assumed trajectory is considered. To prevent sensor divergence, an agreement constraint among sensors based on what other sensors have assumed about them is defined which is a key requirement in the stability analysis. © 2012 IEEE.

关键词： coverage control distributed control receding horizon control sensory networks decentralised control Sensors Event detection Horizon Stability analysis trajectory Mobile Sensation Distribute

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Proceedings - 3rd International conference on Intelligent Systems Modelling and Simulation, ISMS 2012

Proceedings - 3rd International Conference on Intelligent Sy...

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3rd International conference on Intelligent Systems Modelling and Simulation, ISMS 2012

ISBN: (纸本)9780769546681

The proceedings contain 137 papers. The topics discussed include: self-tuning fuzzy PID controller design for aircraft pitch control;improvement on agglomerative hierarchical clustering algorithm based on tree data structure with bidirectional approach;wheelchair motion control guide using eye gaze and blinks based on PointBug algorithm;Search Bot: search intention based filtering using decision tree based technique;a hardware architecture for training of artificial neural networks using particle swarm optimization;developing a multi-agent architecture at the computational level to transform human-oriented solutions into computer-based artefacts;optimizing the controller of PV system to enhance the dynamic stability of smart grid network;a non-worsening memetic algorithm for constructing feasible timetables;and an overview on warranty cost modelling in two-dimensional warranty using neuro-fuzzy approach.

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Optimal placement of a series FACTS controller in Java-Bali 24-bus Indonesian system for maximizing system loadability by Evolutionary optimization Technique

Optimal placement of a series FACTS controller in Java-Bali ...

引用

3rd International conference on Intelligent Systems Modelling and Simulation, ISMS 2012

作者： Wartana, I. Made Singh, J.G. Ongsakul, Werakorn Agustini, Ni Putu Malang 65145 Indonesia Pathumthani 12120 Thailand

ISBN: (纸本)9780769546681

In this paper, a series FACTS controller namely Thyristor controller Series Compensator (TCSC) has been suggested to enhance the power system loadability. The location of the controller and the setting of their control parameters are optimized by one type of Evolutionary optimization Technique to improve the performance of the power network. The objective functions are to maximize the system loadability whereas maintaining system security and stability margins, e.g., small signal stability, voltage stability index, and line stability factor within limits by considering the investment costs of the controller and minimizing active power loss of the system. The series FACTS controller is modeled and incorporated in the Newton Raphson power flow problem. The effectiveness of the proposed methodology has been investigated on a practical Java-Bali 24-bus Indonesian grid system. © 2012 IEEE.

关键词： controllers

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Integration of Heat Pumps in Distribution Grids: Economic Motivation for Grid control

Integration of Heat Pumps in Distribution Grids: Economic Mo...

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

作者： Nykamp, S. Molderink, A. Bakker, V. Toersche, H. A. Hurink, J. L. Smit, G. J. M. Network planning division of RWE Germany

ISBN: (纸本)9781467325950;9781467325967

Electric heat pumps combined with heat buffers are important elements in smart grids since they together allow to shift the consumption of electricity in time. In this paper the effects of different control algorithms for heat pumps on the investment costs for distribution grids are investigated. For this, an optimization approach is implemented for a case study within an area where the buildings are only supplied by electricity. The simulations use real smart meter data to generate realistic load curves of households and heat pumps. The calculations show that grid costs increase up to 71% with an inappropriate control and decrease by 10% with an optimal integration of heat pumps. Furthermore, the costs for the reinforcement of the grid are confronted with the benefits on consumer side using flexible price signals. The cost-benefit analysis shows that considering grid restrictions in the context of controllable devices is highly recommended.

关键词： Cost benefit analysis load management heat pumps heating power distribution power system planning smart grids

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Predictive control of DC/DC Converter Based on State Observer

Predictive Control of DC/DC Converter Based on State Observe...

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

作者： Zeng, Chen Pan, Dengmin Zhang, Liyan Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Province Peoples R China Yangluo Cement Corp Wuhan Hubei Province Peoples R China

ISBN: (纸本)9783037853719

In this paper, we present an advanced way to control the DC/DC converter by using predictive control. As the current state of the circuit must be known while using the predictive control, state observer is applied to solve the problem that some variables of DC/DC converter can not be observed. Neural network optimization is used to solve the QP problems in single sample step of predictive control. Simulation results show that this approach can utilize fast converge property of neural network and the new control strategy turns out to be very efficiency.

关键词： Predictive control State observer DC/DC converter Neural network

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Global optimization of Field Based Routing in Wireless Mesh network (GOFBR-WMN)

Global Optimization of Field Based Routing in Wireless Mesh ...

引用

3rd IEEE and IFIP South Central Asian Himalayas Regional International conference on Internet (AH-ICI)

作者： Shakya, Saroj Pokhrel, Shiva Raj Nepal Coll Informat Technol Kathmandu Nepal Nepal Coll Informat Technol Comp Engn Kathmandu Nepal

ISBN: (纸本)9781467325912;9781467325899

Field Based Routing (FBR) is the next promising class of routing algorithms especially for wireless mesh networks. The inherent nature of shared medium wireless mesh networks, however, poses fundamental challenges to the design of effective routing policies that are optimal with respect to speed, time and resource utilization. In this paper, globally optimized routing algorithm for multiple subscribers in wireless mesh networks is proposed. Mesh network with multiple nodes will serve as an environment that optimizes some global utility function limited by the mobile nodes position in underlying MAC (Media Access control) layer. By solving the optimization problem, the network is brought to a point of efficient operation with a certain routing policy for each node. This information will be the operating point that can be used to find better ways adaptive, which is able to steer the network towards the optimal routing. Global optimization of FBR is depicted through path estimation using PSO (Particle Swarm optimization).

关键词： Field Based Routing Global optimization Particle swarm optimization Wireless Mesh network

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