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A novel handoff decision algorithm in TD-LTE based train-ground communication system

A novel handoff decision algorithm in TD-LTE based train-gro...

17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems Engineering Conference 2014

作者： Xiaomeng Shu Li Zhu Hongli Zhao Tao Tang School of Electrical and Information Engineering Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University

Communication Based Train control(CBTC)system is a kind of advanced train automatic control system that integrates radio communication and automation control *** happens frequently in CBTC train ground communication system,which may result in communication interrupt and long *** this paper,we propose a new handoff decision algorithm based on improved Grey Verhulst model for the Time Division-Long Term Evolution(TD-LTE)based train-ground communication *** proposed handoff decision algorithm can be used under free space and leaky coaxial cable equipped *** Grey Verhulst model is used to predict the Reference Signal Receiving Power(RSRP)values from two Radio Remote Units(RRU).Compared with traditional Verhulst model,improved Grey Verhulst model can optimize parameters to eliminate the inherent errors in data sequence *** handoff decision action is performed based on the predicted RSRP *** results show that the proposed handoff decision algorithm can decrease pingpong handoff and improve the handoff delay compared with the traditional A3 event based scheme in LTE systems.

关键词： A novel handoff decision algorithm in TD-LTE based train-ground communication system Verhulst LTE

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Sampling-based learning control for quantum discrimination and ensemble classification

Sampling-based learning control for quantum discrimination a...

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International Joint Conference on Neural Networks

作者： Chunlin Chen Daoyi Dong Bo Qi Ian R. Petersen Herschel Rabitz Department of Control and System Engineering Nanjing University School of Engineering and Information Technology University of New South Wales Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Department of Chemistry Princeton University

ISBN: (纸本)9781479914821

Quantum ensemble classification has significant applications in discrimination of atoms (or molecules), separation of isotopic molecules and quantum information extraction. In this paper, we recast quantum ensemble classification as a supervised quantum learning problem. A systematic classification methodology is presented by using a sampling-based learning control (SLC) approach for quantum discrimination. The classification task is accomplished via simultaneously steering members belonging to different classes to their corresponding target states (e.g., mutually orthogonal states). Numerical results demonstrate the effectiveness of the proposed approach for the discrimination of two quantum systems and the binary classification of two-level quantum ensembles.

关键词： Ensemble classification Quantum discrimination Inhomogeneous ensembles Sampling-based learning control

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A novel handoff decision algorithm in TD-LTE based train-ground communication system

A novel handoff decision algorithm in TD-LTE based train-gro...

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International Conference on Intelligent Transportation

ISBN: (纸本)9781479960798

Communication Based Train control (CBTC) system is a kind of advanced train automatic control system that integrates radio communication and automation control technology. Handoff happens frequently in CBTC train ground communication system, which may result in communication interrupt and long latency. In this paper, we propose a new handoff decision algorithm based on improved Grey Verhulst model for the Time Division-Long Term Evolution (TD-LTE) based train-ground communication system. The proposed handoff decision algorithm can be used under free space and leaky coaxial cable equipped environment. Improved Grey Verhulst model is used to predict the Reference Signal Receiving Power (RSRP) values from two Radio Remote Units (RRU). Compared with traditional Verhulst model, improved Grey Verhulst model can optimize parameters to eliminate the inherent errors in data sequence prediction. The handoff decision action is performed based on the predicted RSRP values. Simulation results show that the proposed handoff decision algorithm can decrease ping-pong handoff and improve the handoff delay compared with the traditional A3 event based scheme in LTE systems.

关键词： Prediction algorithms Predictive models Rail transportation Handover Coaxial cables

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Step-wise sequential phase partition algorithm and on-line monitoring strategy for multiphase batch processes

Step-wise sequential phase partition algorithm and on-line m...

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第25届中国控制与决策会议

作者： Chunhui Zhao Youxian Sun State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355322

As batches operate at different statuses across different phases, it can be advantageous to partition the whole batch process into different phases and characterize them separately by multiple local phase models. The conventional clustering-based phase division algorithm overlooks the time sequence of batch operation which thus may mix different time segments located within a batch into one phase. Moreover, it is hard to capture the transitions between neighboring phases. In the present work, an automatic step-wise sequential phase division algorithm is developed to capture the changes of process characteristics along time direction within each batch. Its theoretical support is framed and the related statistical characteristics are analyzed. Using this algorithm, major phases are captured and the transition regions are separated from them as separate time regions. Thus, different statistical models are developed to reflect their time-varying characteristics. The online monitoring system is set up, which can realtime judge the affiliation of each new sample and check its status by adopting the proper statistical model. Comprehensive comparison is conducted between the proposed algorithm and clustering-based phase division algorithm. Its feasibility and performance are illustrated by an injection molding process which presents typical multiphase nature as well as transition characteristics.

关键词： multiphase batch processes sequential phase partition transition patterns online process monitoring multivariate statistical analysis.

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DISTRIBUTED QUANTIZED CONSENSUS FOR AGENTS ON DIRECTED NETWORKS

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Journal of systems Science & Complexity 2013年第4期26卷 489-511页

作者： LI Dequan LIU Qipeng WANG Xiaofan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Science Anhui University of Science and Technology

Communication bandwidth and network topology are two important factors that affect performance of distributed consensus in multi-agent *** available works about quantized average consensus assume that the adjacency matrices associated with the digraphs are doubly stochastic,which amounts to that the digital networks are ***,this assumption may be unrealistic in *** this paper,without assuming double stochasticity,the authors revisit an existing quantized average consensus protocol with the logarithmic quantization scheme,and investigate the quantized consensus problem in general directed digital networks that are strongly connected but not necessarily *** authors first derive an achievable upper bound of the quantization precision parameter to design suitable logarithmic quantizer,and this bound explicitly depends on network ***,by means of the matrix transformation and the Lyapunov techniques,the authors provide a testable condition under which the weighted average consensus can be achieved with the proposed quantized protocol.

关键词： Consensus protocol digraph logarithmic quantization multi-agent systems.

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Dynamic Modeling and Image-based Adaptive Visual Servoing of Cable-driven Soft Robotic Manipulator

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IFAC Proceedings Volumes 2014年第3期47卷 11884-11889页

作者： Hesheng Wang Weidong Chen Chao Wang Xiaozhou Wang Rolf Pfeifer Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiao Tong University Shanghai 200240 China (Tel: 86-21-34204302 Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai China

This paper focus on dynamic visual seroving of a cable-driven soft robotic manipulator system. The soft robotic manipulator has no rigid structure. Based on Lagrange mechanics, kinetic energy, elastic potential energy and gravitational potential energy of each segment are analyzed, thus general dynamic equation of the soft robotic manipulator is obtained. On this basis, a depth-independent image Jacobian matrix is presented and an image-based visual servo controller is designed. Applied by adaptive algorithm, the controller could estimate unknown 3D feature positions online, and Lyapunov method is involved to prove the stability of the system. Experiments are conducted to demonstrate reasonableness and validity of dynamic model of the soft robotic manipulator and image-based adaptive visual servo controller.

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Distributed differential evolution algorithm with adaptive parameters

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Kongzhi yu Juece/control and Decision 2014年第4期29卷 701-706页

作者： Zhang, Chun-Mei Chen, Jie Xin, Bin School of Automation Ministry of Education Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China

An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migration condition is satisfied, the best individual in each subpopulation will replace the worst individual of its neighbor subpopulations according to the Von Neumann topology. The migration mechanism among subpopulations enables the information to be communicated in the whole population. Meanwhile, the adaptive mechanism of F and CR is presented for assigning different F and CR to each individual according to the individual's fitness. Numerical results show that, the proposed algorithm is beneficial to explore the solution space, which can avoid the premature convergence and search the excellent solutions.

关键词： Optimization

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Multirate output feedback control for complex industrial processes in double-layer network environment with RBF performance index

Multirate output feedback control for complex industrial pro...

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World Congress on Intelligent control and Automation (WCICA)

作者： Tong Wang Jianbin Qiu Huijun Gao Jialu Fan Tianyou Chai Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China School of Information Bohai University Jinzhou China State Key Laboratory of Synthetical Automation of Process Industries Northeastern University Shenyang China

This paper investigates the output feedback control problem for a class of complex industrial processes in double-layer (upper operation layer and local device layer) network environment with radial basis function (RBF) performance index. First, sampled-data local plants at the device layer with sampling period T d are controlled by local output feedback proportional integral (PI) controllers. Then, the outputs and inputs of local plants are sampled at operation layer with sampling period T u to form the index prediction by using RBF neural networks. In addition, consider the effect of Ethernet between operation and device layer, a Bernoulli random binary distribution is employed to model the packet dropout phenomenon during data transmission. Furthermore, considering the nonlinearity of RBF neural networks, the Lagrange multipliers approach is utilized to solve the real time optimization (RTO) problem at operation layer and an output feedback compensator is designed to regulate the dynamic setpoints. Finally, a rougher flotation process model is employed to demonstrate the effectiveness of the proposed method.

关键词： Indexes process control Optimization Output feedback Symmetric matrices Neurons Automation

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Visualization algorithm of realistic terrain based on adaptive multiple-features fusion

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Journal of Computational information systems 2013年第12期9卷 4647-4654页

作者： Zeng, Yanyang Kang, Fengju Yang, Huizhen College of Marine Northwestern Polytechnical University Xi'an 710072 China National Key Laboratory of Underwater Information Process and Control Xi'an 710072 China

Data structure of digital elevation model (DEM) is complex in realistic terrain visualization, and it's slow to simulate. In this paper, a visualization algorithm based on adaptive multi-features fusion is proposed. First, the entropy of terrain elevation is adopted. Feature extraction for Real elevation data can generate terrain overall framework. Next, in order to increase high frequency detail, we use the random midpoint displacement algorithm and optimize the fractal parameters. Third, we calculate distance threshold between the viewpoint and the terrain, which corresponds to the level of detail (LOD), so as to achieve the adaptive scheduling of terrain. Finally, we propose an uncertain multi-features fusion algorithm to update terrain characteristics according to uncertainty determinant factor (UDF). Simulation results show that the algorithm can effectively improve the fidelity of terrain and obtain a good rendering efficiency. © 2013 by Binary information Press.

关键词： Data visualization

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On stability analysis and synthesis of reset control systems with output uncertainties

On stability analysis and synthesis of reset control systems...

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第三十三届中国控制会议

作者： Guanglei Zhao Jingcheng Wang Kang Li Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Electronics Electrical Engineering and Computer ScienceQueens University BelfastUK

ISBN: (纸本)9781479947249

This paper considers reset control systems with output *** present sufficient conditions for the quadratic stability and finite L2 gain ***,the results are extended to piecewise quadratic stability which is much less ***,an iterative algorithm is proposed to design the reset *** the obtained results are given as linear matrix inequalities(LMIs) that can be solved *** examples are given to illustrate the results.

关键词： reset control output uncertainties quadratic stability iterative algorithm

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