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A hybrid Differential Evolution Algorithm for Nonlinear Parameter Estimation of Kinetic Systems

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A hybrid Differential Evolution Algorithm for Nonlinear Para...

第2.届中国控制与决策会议

作者： Chao Zhao, Aimin An college of Chemistry and Chemical engineering, FuZhou {2.,FuZhou,350108,P.R.china. Qiaolin Xu Faculty of School of electrical engineering and information engineering, lanzhou {2. of Technology, lanzhou,Gansu 730050, china

The determination of the optimal model parameters for kinetic systems development of kinetic models is a time consuming, iterative process [1]. In this paper, we presented a novel hybrid Differential Evolution （DE） algorithm for solving kinetic parameter estimation problems based on the Differential Evolution technique together with a local search strategy. By combining the merits of DE with Gauss-Newton method, the proposed hybrid approach employs a DE algorithm for identifying promising regions of the solution space followed by use of Gauss-Newton method to determine the optimum in the identified regions. The computational results indicate that the global searching ability and the convergence speed of this hybrid algorithm are significantly improved. Additionally, study of kinetic model parameters for an irreversible, first-order reaction system was carried out to test the applicability of the proposed algorithm. The suggested method can be used to estimate suitable values for the model parameters of a complex mathematical model.

关键词： Parameter estimation Kinetic models Hybrid Differential Evolution (HDE) Guass-Newton method

Wv-SVM with genetic algorithms for gas load forecasting

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Wv-SVM with genetic algorithms for gas load forecasting

2.11 IEEE International Conference on Computer Science and Automation engineering(CSAE 2.11)

作者： Zhaolin Lai information and electrical {2. college Shanghai Normal university Shanghai china XiaoZhong Xu

＜正＞Accurate short-term load forecasting is important in regional or national gas pipeline network system strategy *** load forecasting is complex to conduct due to its nonlinearity of influenced *** vector machines（SVM） has been successfully employed to solve nonlinear regression and time series problems,however,the application for load forecasting is *** purpose of this paper is to present a wavelet v-SVM with genetic algorithm（GA） to forecast the gas *** is applied to the parameter determine of Wv-SVM *** empirical results reveal that the proposed model outperforms the artificial neural network（ANN）,Wv- SVM models.

关键词： support vector machines(SVM) genetic algorithms(GA) Gas load forecasting

Efficiency Improvement on PMSM Twelve Sectors DTC System

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Efficiency Improvement on PMSM Twelve Sectors DTC System

2.11 Chinese Control and Decision Conference（CCDC）

作者： Xing Shaobang is with college of electrical and {2. engineering,Jiangsu Teachers university of Technology,Jiangsu Changzhou,china and college of Automation engineering,Nanjing university Of Aeronautics And Astronautics,Jiangsu Nanjing,china.Luo Yinsheng is with college of electrical and {2. engineering,Jiangsu Teachers university of Technology,Jiangsu Changzhou,china.Han Xiaoxin is with college of electrical and {2. engineering,Jiangsu Teachers university of Technology,Jiangsu Changzhou,china

After establishing the permanent magnetism synchronous machine (PMSM) twelve sectors direct torque control (DTC) platform,in this paper,the relation between torque and minimum stator currents while maximum torque per ampere (MTPA) is deduced using Lagrange multiplier method,and the optimal excitation current is obtained using the curve fitting method,and then the optimal stator flux instruction value is given,which overcomes the excessive excitation loss of constant flux given *** results show that this control strategy can not only keep good performance,but also improve operation efficiency.

关键词： PMSM DTC twelve flux-sectors maximum torque per ampere

ANALOG FAULT DIAGNOSIS BASED ON S-TRANSFORM AND PSO

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ANALOG FAULT DIAGNOSIS BASED ON S-TRANSFORM AND PSO

第十四届全国容错计算学术会议(CFTC'2.11)

作者： Yanghong Tan~(1,2.,Yichunag Sun~1 1 School of engineering and Technology,university of Hertfordshire,Hatfield AL10 9AB,UK 2.{2. of electrical and information engineering,Hunan university,410082.china Yigang He {2. of electrical and information engineering,Hunan university,410082.china

＜正＞A novel method for fault diagnosis in analog circuits using S-transform（ST） as a preprocessor and Particle Swarm Optimization （PSO） based neural network（NN） identifier for classification is proposed in the *** provides a frequency-dependent resolution and the features obtained from the ST are distinct,and easy to *** identifier,evolving with PSO,is a promising method to train *** is faster and gets better results,and avoids some problems of conventional backpropagation （BP） *** comparison between the ST-based method and the wavelet-transform based method,and comparison between the ST and PSO method and the traditional NN method for analog fault diagnosis is *** results show that the proposed method is effective in enhancing the efficiency of the training phase and the performance of the fault diagnostic *** results clearly indicate higher correct classification of fault classes in the example circuits of similar faults.

关键词： analog fault diagnosis PSO S-transform mixed-signal test neural networks

Selection Method of Multi-Objective Problems Using Genetic Algorithm in Motion Plan of AUV

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Journal of Marine Science and Application 2002年第1期1卷 81-86页

作者： ZHANG Ming-jun , ZHENG Jin-xing , ZHANG Jing college of Mechanical and electrical {2., Harbin {2. university, Harbin 150001 ,china college of Computer and information Science, Harbin {2. university, Harbin 150001 , china Harbin engineering university College of Mechanical and Electrical Engineering Harbin China (GRID:grid.33764.35) (ISNI:***) Harbin engineering university College of Computer and Information Science Harbin China (GRID:grid.33764.35) (ISNI:***)

To research the effect of the selection method of multi — objects genetic algorithm problem on optimizing result, this method is analyzed theoretically and discussed by using an autonomous underwater vehicle (AUV) as an object. A changing weight value method is put forward and a selection formula is modified. Some experiments were implemented on an AUV, TwinBurger. The results shows that this method is effective and feasible.

关键词： AUV multi — objective optimization genetic algorithm selection method

维普期刊数据库

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基于星型配置策略的协同定位算法

系统仿真学报 2010年第3期22卷 691-694页

作者：徐维涛郝晓弘张萍兰州理工大学电气工程与信息工程学院兰州730050

为了改善无线传感器网络整体连通性,避免监控区域出现"黑洞"现象,提出了无线传感器网络节点的星型配置策略。通过RSSI和AOA相结合的协同定位算法实现了节点定位,算法中采用影射机制建立了传感器节点的平面坐标计算新方法。计算机仿真结... 详细信息

为了改善无线传感器网络整体连通性,避免监控区域出现"黑洞"现象,提出了无线传感器网络节点的星型配置策略。通过RSSI和AOA相结合的协同定位算法实现了节点定位,算法中采用影射机制建立了传感器节点的平面坐标计算新方法。计算机仿真结果表明该算法能够明显提高节点的定位精度,定位精度小于1米。

关键词：无线传感器网络配置策略模型信道损失协同定位

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Research and Realization of the Intelligent Complex Testing System of Submersible Motor Pumps

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Research and Realization of the Intelligent Complex Testing ...

ICEMI'2.05第七届国际电子测量与仪器学术会议

作者： Wang Song (School of information engineering Shandong {2. at Weihai 2.42.9 china) Zhang Xiaodong (School of electrical engineering of Beijing jiaotong {2. 100044 china)

According to the features and regular testing requirements of the submersible motor pumps, this paper presents and designs an intelligent complex testing system which is suitable for the testing of th

关键词： Submersible motor pump testing data computing communication.

超定独立分量分析及其在结肠压力信号分析中的应用

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上海交通大学学报 2010年第11期44卷 1595-1599页

作者：潘城田社平颜国正上海交通大学电子信息与电气工程学院上海200240

针对传感器个数大于源信号个数的情况,提出了一个超定独立分量分析(ICA)方法,并将其应用到人体结肠压力信号分析中.首先对结肠压力信号运用主成分分析(PCA)估计源信号个数,并将观测信号进行降维使其维数与源信号相等,从而将超定ICA问题... 详细信息

针对传感器个数大于源信号个数的情况,提出了一个超定独立分量分析(ICA)方法,并将其应用到人体结肠压力信号分析中.首先对结肠压力信号运用主成分分析(PCA)估计源信号个数,并将观测信号进行降维使其维数与源信号相等,从而将超定ICA问题转化为一个完备ICA问题;最后通过快速ICA算法估计出源信号.实验采用2.组人体结肠压力数据,成功提取出结肠活动中具有生理意义的动力模式信号.

关键词：独立分量分析超定盲信号分离主分量分析结肠压力信号结肠动力模式

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The Study of Decoupling Control Strategy for Paper Basis Weight and Moisture Content

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The Study of Decoupling Control Strategy for Paper Basis Wei...

2.10 Chinese Control and Decision Conference

作者： Yan Li college of electrical and {2. engineering,Shaanxi university of Science & Technology,Xi''an china,712.00

＜正＞Aimed at the strong coupling between basis weight and moisture content in papermaking,this paper put forward a decoupling method based on neural network,which is realized by designing a computing network to offset coupling in the process, and makes generalized object’s transfer function matrix become *** decoupling control,we used slurry flow to control basis weight and steam flow to control moisture content successfully,and achieved good control *** actual operating results showed that this control algorithm can improve the profits of enterprises greatly and has some practical value.

关键词： basis weight moisture content decoupling control time-delay