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An improved algorithm of spatial difference MUSIC for direction of arrival estimation in a smart antenna

Open Cybernetics and Systemics Journal 2015年第1期9卷 1511-1516页

作者： Bo, Li Li, Tingting Li, Li Hui, Yang Yuan, Chuanlai School of Information Engineering East China Jiaotong University Nanchang330013 China Key Laboratory Advanced Control & Optimization of Jiangxi Province Nanchang330013 China College of Electrical and Information Engineering Hunan University of Technology Zhuzhou412007 China

The estimation of direction of arrival (DOA) of a smart antenna is not able to perform high resolution in a mixed noise field with high correlation. In this paper, a modified multiple signal classification (MUSIC) algorithm based on spatial difference is proposed for improving the resolution of DoA estimation. The algorithm can eliminate the effect of mixed noise through computing the difference of the output signal covariance matrix and resolving the uncorrelated and coherent signal respectively. In order to obtain the orthogonal subspaces of the signal and noise, the Toeplitz decomposition and singular value decomposition (SVD) algorithm are applied to reconstruct the matrix. Accordingly, the MUSIC algorithm is adopted to estimate the DOA efficiently. In our research, several contrastive simulations corresponding to DOA estimation between the traditional MUSIC algorithm and the proposed method are implemented and analyzed. The results demonstrate the feasibility and high efficiency of our proposed algorithm. © Bo et al.

关键词： Multiple signal classification

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Distributed Mo del Predictive control Based on Multi-agent Mo del for Electric Multiple Units

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自动化学报 2014年第11期40卷 2625-2631页

作者： LI Zhong-Qi School of Mechanical and Electrical Engineer Nanchang University Nanchang 330031 China School of Electrical and Electronic Engineering East China Jiaotong University Nanchang 330013 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang 330013 China

The distributed-power electric multiple units (EMUs) are widely used in high-speed railway. Due to the structural characteristic of mutual-coupled power units in EMUs, each power unit is set as an agent. Combining with the traction/brake characteristic curve and running data of EMUs, a subtractive clustering method and pattern classification algorithm are adopted to set up a multi-model set for every agent. Then, the multi-agent model is established according to the multi-agent network topology and mutual-coupled constraint relations. Finally, we adopt a smooth start switching control strategy and a multi-agent distributed coordination control algorithm to ensure the synchronous speed tracking control of each agent. Simulation results on the actual CRH380A running data show the effectiveness of the proposed approach.

关键词：分布式电源电动车组多代理预测控制多单元协调控制算法多Agent 功率单元

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Online optimization for the multi-objective operation of electric multiple units based speed limits curve

Online optimization for the multi-objective operation of ele...

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World Congress on Intelligent control and Automation (WCICA)

作者： Hui Yang Hong-En Liu Ya-Ting Fu Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang Jiangxi China School of Electrical and Electronic Engineering East China Jiaotong University Nanchang Jiangxi China

The electric multiple units (EMU) provide a transport service in the dynamical running environment, which should meet the requirements of safety, punctuality, precise train stopping, energy conservation and comfort simultaneously. However, since pervious manual operation method of EMU is mainly based on a given V-S curve (velocity versus position curve) and drivers' experience, it cannot meet the multi-objective operation requirements in real time. In order to improve the operation strategy, this paper develops a multi-objective online optimization model for the EMU operation based on speed limit curve. Then, we optimize the operation strategy using a modified multi-objective particle swarm optimization algorithm on line, so as to obtain the Pareto optimal solution set. Further, based on the delay state of EMU running process, we pick out the optimal operation strategy from the Pareto set. Finally, the running process of the EMU operated on the optimal operation strategy can satisfy the multi-objective requirements. And the experimental results on the field data of CRH380AL (China railway high-speed EMU type-380AL) running process show the real time effectiveness of the proposed approach.

关键词： optimization Indexes Delays Safety Real-time systems Force Resistance

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Invulnerability optimization of Chinese railway traffic network for suppressing cascading failure

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Journal of Information and Computational Science 2014年第5期11卷 1501-1509页

作者： Chen, Shiming Zou, Xiaoqun Xu, Qinggang Lv, Hui School of Electrical and Electronic Engineering East China Jiaotong University Nanchang 330013 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang 330013 China

Chinese Railway Traffic Network (CRTN) is one of the primary transport modes and artery for economic development, it contains three network models which are physical network, transport network and transfer network. This paper focuses on the transfer network which is established by setting the stations as nodes and the train running through the stations as edges. We optimize the invulnerability of CRTN by adding edges to the network, and evaluate it based on the natural connectivity. A Directed Chaos-mutation Sorted Discrete PSO (DCSD-PSO) algorithm is proposed for obtaining the optimal edges which can maximize the natural connectivity based on mapping the candidate edges to a continuous domain. Subsequently, compared with Basic PSO (BPSO) algorithm, the proposed algorithm is proved to be more effective in improving the invulnerability of CRTN, and performs better when cascading failure occurs. © 2014 by Binary Information Press.

关键词： Particle swarm optimization (PSO)

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An LCOR model for suppressing cascading failure in weighted complex networks

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Chinese Physics B 2013年第5期22卷 626-631页

作者：陈世明庞少鹏邹小群 School of Electrical and Electronic Engineering East China Jiaotong University Key Laboratory of Advanced Control & Optimization of Jiangxi Province

Based on the relationship between capacity and load, cascading failure on weighted complex networks is investigated, and a load-capacity optimal relationship （LCOR） model is proposed in this paper. Compared with three other kinds of load- capacity linear or non-linear relationship models in model networks as well as a number of real-world weighted networks including the railway network, the airports network and the metro network, the LCOR model is shown to have the best robustness against cascading failure with less cost. Furthermore, theoretical analysis and computational method of its cost threshold are provided to validate the effectiveness of the LCOR model. The results show that the LCOR model is effective for designing real-world networks with high robustness and less cost against cascading failure.

关键词： cascading failure load-capacity optimal relationship model robustness cost

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A Measure Method of Component Content Based on Color Features in Pr/Nd Extraction Process

A Measure Method of Component Content Based on Color Feature...

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第25届中国过程控制会议

作者： Lu Rongxiu Yang Hui School of Electrical Mechanical & Electrical Engineering Nanchang University School of Electrical and Electronic Engineering East China Jiaotong University Key Laboratory of Advanced Control & Optimization of Jiangxi Province

Measurement of the component content has been a challenging task in praseodymium/neodymium(Pr/Nd)*** on the ion color features model,an adaptive prediction method is proposed to measure the component content ***,the feature extraction for video image of the mixed solution of extraction process is conducted in HSI color ***,we build a least squares support vector machine(LSSVM)measure model of component content based on H/S features,and the model parameters are determined with the genetic *** improve the measure accuracy in the extraction process,an adaptive iterative correction method for the color features model is *** experiment results on the field data show that correction rate of the proposed method is fast while the measure precision has been obviously ***,it is quite appropriate for the measure of component content for a rare earth extraction process which has ion color features.

关键词： Pr/Nd extraction Color features Component content Adaptive iterative learning Least Square Support Vector Machine Online correction

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Distributed Model Predictive control Based on Multi-agent Model for Electric Multiple Units

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Acta Automatica Sinica 2014年第11期40卷 2625-2631页

作者： Zhong-Qi LI Hui YANG Kun-Peng ZHANG Ya-Ting FU School of Mechanical and Electrical Engineer Nanchang University Nanchang 330031 China School of Electrical and Electronic Engineering East China Jiaotong University Nanchang 330013 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang 330013 China

关键词： Electric multiple units (EMUs) multi-agent nonlinear multi-models distributed model predictive control synchronous tracking

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The algorithm research of objects tracking for robotic fish

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ICIC Express Letters, Part B: Applications 2013年第2期4卷 333-338页

作者： Zhu, Qixin Tang, Yufeng Xie, Guangming Department of Mechanical and Electrical Engineering Suzhou University of Science and Technology No. 1 Kerui Road High-Tech Zone Suzhou 215009 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province School of Electrical and Electronic Engineering East China Jiaotong University No. 808 Shuanggang Road Nanchang 330013 China College of Engineering Peking University No. 5 Summer Palace Road Beijing 100871 China

It is very significant to detect and track the moving robotic fish quickly when controlling the robotic fish which based on global vision. The object tracking algorithm oriented robotic fish in this paper which is of great significance can track multiple objects real-timely and accurately and be the basis for the achievement of group collaboration and formation control. This paper provides an efficient approach to detecting and tracking moving robotic fish based on template matching by analyzing the characteristics of the shape of robotic fish. The result shows that the method can recognize and track the objects quickly and effectively and basically meets the requirement of real-time tracking. © 2013 ICIC International.

关键词： Template matching

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Component Content soft-sensor of SVM based on Ions color characteristics

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Telkomnika 2012年第6期10卷 1445-1452页

作者： Rongxiu, Lu Hui, Yang Kunpeng, Zhang School of Electrical Mechanical and Electrical Engineering Nanchang University Nanchang Jiangxi 330031 China School of Electrical and Electronic Engineering East China Jiaotong University Nanchang Jiangxi 330013 China Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang Jiangxi 330013 China

In consideration of different characteristic colors of Ions in the P507-HCL Pr/Nd extraction separation system, ions color image feature H, S, I that closely related to the element component contents are extracted by using image processing method. Principal Component Analysis algorithm is employed to determine statistics mean of H, S, I which has the stronger correlation with element component content and the auxiliary variables are obtained. With the algorithm of support vector machine, a component contents soft-sensor model in Pr/Nd extraction process is established. Finally, simulations and tests verify the rationality and feasibility of the proposed method. The research results provide theoretical foundation for the online measurement of the component content in Pr/Nd countercurrent extraction separation process.

关键词： Extraction

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