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检索条件"机构=Tianjin Key Laboratory for Control Theory and Application in Solar Energy Control System"

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A Study of The Weighted Least Squares Support Vector Machine within The Bayesian Evidence Framework

A Study of The Weighted Least Squares Support Vector Machine...

引用

2016 IEEE/CSAA International Conference on Aircraft Utility systems(AUS)

作者： Ruoxi Chen Yunliang Wang School of Electrical Engineering of Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Application in Complicated System Tianjin University of Technology

Short-term load forecasting is essential in the safely assigning of every electricity production and distribution *** a short-term load forecasting model and algorithm based on the weighted least squares support vector machine within the Bayesian evidence framework is *** optimal parameters of models can be found through three-layer Bayesian evidence *** improve the robustness of the model,WLS-SVM regression model with good generalization performance is established by giving a different weight coefficient to each sample error,which further improves the prediction accuracy of the model.

关键词： Short-term load forecasting Weighted least squares support vector machines Bayesian evidence framework

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An EOG Signals Recognition Method Based on Improved Threshold Dual Tree Complex Wavelet Transform

An EOG Signals Recognition Method Based on Improved Threshol...

引用

IEEE International Conference on Mechatronics and Automation

作者： Enzeng Dong Changhai Li Chao Chen Complex system control theory and application key laboratory School of Electrical Engineering Tianjin University of Technology (TJUT)

ISBN: (纸本)9781509023974

Human Machine Interface (HMI) system can effectively detect Electrooculogram (EOG) signals of eye movements, extract intension of users, and convert them into control commands of computer or rehabilitation aid devices. Thus, HMI system is easily accepted by the majority of persons with disabilities. Discrete Wavelet Transform (DWT) method was mainly used in feature extraction of EOG signals, but Traditional DWT method was always suffered from severe frequency aliasing and poor shift invariant. In this paper, Dual-tree Complex Wavelet Transform (DTCWT) with a novel threshold calculation method was proposed for feature selection of EOG signals. To verify the proposed method, The EOG signal was collected from 5 normal subjects in the laboratory, and featured selected. Then, Support Vector Machine (SVM) was applied for classification. The average correct detection rate of proposed method was 96.11%, which was higher than Traditional DWT method. These results demonstrate that the DTCWT-SVM algorithm provides high classification accuracy, and suitable for clinical medicine field.

关键词： Human Machine Interface (HMI) Electrooculogram (EOG) Discrete Wavelet Transform (DWT) Dual-tree Complex Wavelet Transform (DTCWT) Threshold Support Vector Machine (SVM)

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The Design and Implementation of Proton Exchange Membrane Fuel Cell's control system

The Design and Implementation of Proton Exchange Membrane Fu...

引用

IEEE International Conference on Mechatronics and Automation

作者： Chao Dong Hongpeng Li Muyuan Zhao Tianjin Key Laboratory of Control Theory & Application in Complicated System Tianjin University of Technology 391 Binshui Xidao Xiqing District Tianjin 300384 China

ISBN: (纸本)9781509023974

Focusing on the current issues like the complexity in design, high energy consumption, high costs etc., this article presents a project including a 2KW proton exchange membrane fuel cell control system's design and implementation which takes STM32 MCU as a core control unit. This system adopts industrial sensors to collect all varieties of parameters of the fuel cell, achieving the hydrogen supply, monitoring and detecting the signals of sensors, detecting and controlling the subsystems like auxiliary power module, and it also has functions like information visualization, historical data preservation etc.. This system has such a favorable human-computer interaction that it is convenient to carry on a real-time monitoring. The results of on-site operation illustrate that the system is reliable and stable in operation.

关键词： Proton Exchange Membrane Fuel Cell STM32 MCU Intelligent control

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application of Wi-Fi Wireless Communication Technology in the Remote Monitoring of the Greenhouse

Application of Wi-Fi Wireless Communication Technology in th...

引用

International Conference on Information Sciences,Machinery,Materials and energy（ICISMME 2015）

作者： Yunliang Wang Weisong Di Tianjin Key Laboratory for Control Theory & Application in Complicated System Tianjin University of Technology College of Automation Tianjin University of Technology

This paper uses the embedded microcontroller processor as the core,introduce a kind of method which used Wi-Fi to increase the distance and simplify the network building method,the GPRS and Internet network communication technology to realize remote transmission of data,and use the web page as the Monitoring interface,realize the acquisition and control of the temperature and humidity of the greenhouse.

关键词： greenhouse embedded network communication remote monitoring

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Optimization research of the circulating water consumption based on stage-wise superstructure algorithm

Optimization research of the circulating water consumption b...

引用

IEEE International Conference on Mechatronics and Automation

作者： Chao Dong Junfang Li Dan Luo Chenguang Li Tianjin Key Laboratory of Control Theory & Application in Complicated System Tianjin University of Technology Tianjin China SINOPEC Tianjin Company Tianjin China

ISBN: (纸本)9781479970995

In this paper, aiming at the water-consuming of the circulating water system in the petrochemical enterprises, the stage-wise super structure model of the heat exchanger network is established. And the model can be solved by using the MINLP programming method. Considering the characteristics of no-shunt and shunt, the simultaneous optimization of heat exchanger networks is implemented, which is based on the stage-wise super structure method. Thus the company's energy saving can be achieved and the consumption goal of the minimum circulating water system can be also realized. The proposed optimization and technology road-map of the industrial water recycling system have an important reference value for the research and application of process optimization.

关键词： Water heating Optimization Mathematical model Cooling Poles and towers Heat transfer

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Improved Common Spatial Pattern for Brain-Computer Interfacing

Improved Common Spatial Pattern for Brain-Computer Interfaci...

引用

IEEE International Conference on Mechatronics and Automation

作者： Enzeng Dong Liting Li Chao Chen Complex system control theory and application key laboratory School of Electrical Engineering Tianjin University of Technology (TJUT)

ISBN: (纸本)9781479970995

Signal processing of electroencephalography (EEG) plays an important role in brain-computer-interface (BCI) system. It is crucial to select suitable features from EEG signals. This paper proposed a feature selection method which combing independent component analysis (ICA) and common spatial patterns (CSP) to improve the performances of classification. Firstly, EEG signals were filtered with 8-30HZ bandpass filter. Secondly, relative frequency band signals were decomposed into independent components to obtain the solution matrix by ICA, and then the EEG signals were reconstructed from the main components to improve the signal-to-noise ratios. CSP was used to extract the features of EEG signals. Finally, linear discriminate analysis classifier (LDA) and support vector machines (SVM) were used to classify the EEG feature signals. The experiment results showed that the average accuracy achieved by the proposed method were higher, compared common CSP method.

关键词： Electroencephalography (EEG) Common Spatial Patterns (CSP) Independent Component Analysis (ICA) Feature extraction pattern classification

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Design of control system of Smart Home based on embedded Linux

Design of control system of Smart Home based on embedded Lin...

引用

International Conference on Information Sciences,Machinery,Materials and energy（ICISMME 2015）

作者： Yang Li Yunliang Wang School of Electrical Engineering of Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Application in Complicated System Tianjin University of Technology

Based on embedded Linux system,the paper puts forward a kind of remote control system for household *** system mainly uses the way of combination of Wi Fi and GPRS,which are wireless connection technology,and TCP protocol as the primary communication protocol to realize information interaction,and finally control household appliances by the method of the infrared decoding and *** the mobile client connect to the Internet,and then connect to the server,each subsystem can be *** system realized controlling most household appliances.

关键词： Linux embedded Smart Home Qt

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Mid-Term Load Forecasting Based on Grey Neural Network Corrector Model

Mid-Term Load Forecasting Based on Grey Neural Network Corre...

引用

International Conference on Information Sciences,Machinery,Materials and energy（ICISMME 2015）

作者： Chao Yang Yunliang Wang School of Electrical Engineering of TIANJIN UNIVERSITY OF TECHNOLOGY Tianjin Key Laboratory for Control Theory & Application in Complicated System Tianjin University of Technology

A novel grey neural network corrector model is presented in this paper,because mid-term load forecasting is affected by many factors and has large research *** method combines BP neural network with 3 kinds of grey models,and selects influential factors by grey related analysis method,and then adds the equal dimension and new information *** validity of the novel model can be tested by utilizing actual data of a certain *** with 3 kinds of grey models,the novel model can improve the accuracy of load forecasting *** results prove that this method is feasible and effective to mid-term load forecasting.

关键词： load forecasting related factors grey model BP neural network

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Research of waste heat power generation main steam valve control

Research of waste heat power generation main steam valve con...

引用

2014 International Conference on Manufacturing Technology and Electronics applications, ICMTEA 2014

作者： Zhao, Hui Wang, Ya Fei Wang, Hong Jun Tianjin Agricultural University and Tianjin university of technology Tianjin complex system control theory and application of key laboratory Tianjin China Tianjin university of technology Tianjin complex system control theory and application of key laboratory Tianjin China

ISBN: (纸本)9783038353287

In order to improve the stability of steam turbine under large disturbance, the controller of cement waste heat power generation valve was designed by using exponential terminal sliding mode variable structure control method. In this paper, taking a single machine infinite bus power system as an example, established mathematical model of waste heat generator valve system, and designed the valve controller of synchronous generator based on the exponential terminal sliding mode variable structure control theory. Then, valve control simulation model was set up and simulation experiment was performed by MATLAB. Finally, verify the effectiveness of the scheme by comparison analysis. Simulation results show that the controller can effectively improve the transient stability of power system and the dynamic quality. © (2014) Trans Tech Publications, Switzerland.

关键词： Waste heat

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Power consumption prediction modeling of cement manufacturing based on the improved multiple non-linear regression algorithm

Power consumption prediction modeling of cement manufacturin...

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2014 International Conference on Manufacturing Technology and Electronics applications, ICMTEA 2014

作者： Zhao, Hui Zhang, Ning Wang, Hong Jun Tianjin Agricultural University Tianjin university of technology Tianjin complex system control theory and application of key laboratory Tianjin China Tianjin university of technology Tianjin complex system control theory and application of key laboratory Tianjin China

ISBN: (纸本)9783038353287

The principal component analysis (PCA) is applied in this paper, since the existing power consumption prediction models of cement manufacturing influenced by many factors are quite complex and have low accuracy. In this way, four new key factors affecting the power consumption of cement manufacturing are obtained instead of the eleven original ones, with the complexity of the computing model simplified. Built upon this is the power consumption prediction model of cement manufacturing based on an improved multiple non-linear regression algorithm. Then the efficiency of the model, obviously improved the forecasting precision, is verified in Pingyi Zhonglian Cement Plant. In other words, a theoretical basis for cement plants power consumption forecasting management is provided in this paper. © (2014) Trans Tech Publications, Switzerland.

关键词： Electric power utilization

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