期刊：
Journal of Central South University,2017年24(11):2524-2531 ISSN：2095-2899
通讯作者：
Lu, Xin-jiang(luxj@csu.edu.cn)
作者机构：
[LU Xin-jiang; HUANG Ming-hui; FAN Bin] School of Mechanical and Electrical Engineering, Central South University, Changsha, 410083, China;[FAN Bin] College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 413002, China
通讯机构：
[Lu Xin-jiang] Cent S Univ, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China.
摘要：
A novel LS-SVM control method is proposed for general unknown nonlinear systems. A linear kernel LS-SVM model is firstly developed for input/output (I/O) approximation. The LS-SVM control law is then derived directly from this developed model without any approximation and assumption. It further proves that the control error is fully equal to the LS-SVM modeling error. This means that a desirable control performance can be achieved because the LS-SVM has been proven to have an outstanding modeling ability in the previous studies. Case studies finally demonstrate the effectiveness of the proposed LS-SVM control approach.
作者机构：
[Yang, Tong-Guang] College of Mechanic and Electrical Engineering, Hunan City University, Yiyang, China;[Yang, Tong-Guang; Gui, Wei-Hua] College of Information Science and Engineering, Central South University, Changsha, China
作者机构：
[文明才; 阳同光] College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 413000, China;[阳同光] College of Information Science and Engineering, Central South University, Changsha, 410083, China
作者机构：
[阳同光] College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 413000, China;[阳同光; 桂卫华#&#&#YANG Tong-guang] College of Information Science and Engineering, Central South University, Changsha, 410083, China
作者机构：
[Song Juanjuan] Department of Chemical and Environmental Engineering, Hunan City University, Hunan, Yiyang, 413000, China;[Liu Jun'an] Department of Machinery Engineering, Hunan Institute of Engineering, Xiangtan, Hunan, 411101, China;[Tu Li] Department of Computer Science, Hunan City University, Yiyang, Hunan, 413000, China
会议名称：
International Conference on Smart Materials and Intelligent Systems
会议时间：
DEC 17-20, 2010
会议地点：
Chongqing, PEOPLES R CHINA
会议主办单位：
[Tu Li] Hunan City Univ, Dept Comp Sci, Yiyang 413000, Hunan, Peoples R China.^[Song Juanjuan] Hunan City Univ, Dept Chem & Environm Engn, Yiyang, Hunan, Peoples R China.^[Liu Jun'an] Hunan City Univ, Dept Mechinery Engn, Hunan Inst Engn, Xiangtan, Peoples R China.
会议论文集名称：
Advanced Materials Research
关键词：
CAN bus - CAN232MB converter - Communication data - Data-communication - Interface cards - Serial port - Transmission distances - Transmission of data - Twisted pair - VCOM
作者机构：
[Huang, Z. L.] School of Mechanical and Electrical Engineering, Hunan City University, Yiyang City, 413002, China;[Jiang, C.; Ni, B. Y.] State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China
摘要：
Non-probabilistic convex model utilizes a convex set to quantify the uncertainty domain of uncertain-but-bounded parameters, which is very effective for structural uncertainty analysis with limited or poor-quality experimental data. To overcome the complexity and diversity of the formulations of current convex models, in this paper, a unified framework for construction of the non-probabilistic convex models is proposed. By introducing the correlation analysis technique, the mathematical expression of a convex model can be conveniently formulated once the correlation matrix of the uncertain parameters is created. More importantly, from the theoretic analysis level, an evaluation criterion for convex modelling methods is proposed, which can be regarded as a test standard for validity verification of subsequent newly proposed convex modelling methods. And from the practical application level, two model assessment indexes are proposed, by which the adaptabilities of different convex models to a specific uncertain problem with given experimental samples can be estimated. Four numerical examples are investigated to demonstrate the effectiveness of the present study. (C) 2018 Elsevier Inc. All rights reserved.
作者机构：
[Yang, Tongguang; Gui, Weihua] College of Information Science and Engineering, Central South University, Changsha, 410083, China;[Yang, Tongguang] College of Mechanical and Engineering, Hunan City University, Yiyang, 413000, China
作者机构：
[Yang, Wantai; Wang, Yongxin] Department of Polymer Science, Beijing University of Chemical Technology, Beijing, 100029, China;[Zhong, Wenbin; Chen, Xianhong] College of Materials Science and Engineering, Hunan University, Changsha, 410082, China;[Liu, Shoumei] Department of Mechanics, Hunan City University, Yiyang, 413000, China
通讯机构：
[Zhong, WB] Hunan Univ, Coll Mat Sci & Engn, Changsha 410082, Peoples R China.
摘要：
Summary: Polyaniline (PANI) nanowires and sub‐micro/nanostructured dendrites are synthesized and immobilized on PP‐g‐PAA film surfaces via routine oxidative polymerization of aniline under different conditions, where grafting poly(acrylic acid) (PAA) served as a template and dopant, and SDS as a surfactant. The immobilized PANI enhances the surface hydrophilicity of the poly(propylene) (PP) films, and a superhydrophilic surface is obtained in this way. The mechanism of forming different morphologies of PANI and of correspondingly obtaining a superhydrophilic surface are briefly discussed. FESEM image shows the PANI sub‐micro/nanostructured dendrites immobilized on the surfaces of PP films. The modified surface is highly hydrophilic with a water contact angle of 3°.
作者机构：
[Yang, Tong-Guang] College of Mechanic and Electrical Engineering, Hunan City University, Yiyang, China;[Yang, Tong-Guang; Gui, Wei-Hua] College of Information Science and Engineering, Central South University, Changsha, China
作者机构：
[Xiao, Hong] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.;[Sun, Liang] Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413000, Peoples R China.;[Wang, Na] China Ordnance Ind, Res Inst 203, Wind Tunnel Lab, Xian 710065, Peoples R China.
会议名称：
International Conference on Chemical, Material and Food Engineering (CMFE)
会议时间：
JUL 25-26, 2015
会议地点：
Kunming, PEOPLES R CHINA
会议主办单位：
[Xiao, Hong] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.^[Sun, Liang] Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413000, Peoples R China.^[Wang, Na] China Ordnance Ind, Res Inst 203, Wind Tunnel Lab, Xian 710065, Peoples R China.
会议论文集名称：
AER-Advances in Engineering Research
关键词：
computational fluid dynamics;square;numerical simulation;high-rise;turbulence model
摘要：
A SST turbulence model is applied to solve the Reynolds Averaged Navier-Stokes Equations in numerically simulating the 3D steady wind flow field around the square with high-rise buildings in atmospheric boundary layer. The aerodynamic prediction was supported by velocity data collected in field measurement of 240 points from an campus square. Then a detailed parametric study is performed on velocity distribution. The parameters include wind attack angle, green belt length and the distance between green belts. The analysis results show that numerical simulation is a feasible way to study the wind environment around square and the distributing of velocity. The green belts accelerates the air flow parallel to it. The effect of acceleration depends mainly on the distance between the green belts rather than the length of the green belts. When the wind is southeast or northwest, the maximums velocity in pedestrian height are between buildings. The curved green belts can improve the wind environment rather than linear green belts. The research provides a foundation for the wind resistance design of squares.
作者机构：
[彭文祥] School of Geoscience and Environmental Engineering, Central South University, Changsha 410083, China;[舒谷生] Department of Mechanics, Hunan University of City, Yiyang 413000, China
作者机构：
[李欣然; CHEN Hong-lin] College of Electrical and Information Engineering, Hunan Univ, Changsha, Hunan, 410082, China;[LENG Hua] Electrical Research Institute of State Grid Hunan Electric Power Company, Changsha, Hunan, 410007, China;[陈国民#&#&#LI Xin-ran] School of Mechanical and Electrical Engineering, Hunan City Univ, Yiyang, Hunan, 413000, China
作者机构：
[Hu, Te-Te; Zhang, Yi; Lu, Xin-Jiang; Fan, Bin] Cent S Univ, State Key Lab High Performance Complex Mfg, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China.;[Fan, Bin] Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413002, Peoples R China.
通讯机构：
[Lu, Xin-Jiang; Zhang, Yi] Cent S Univ, State Key Lab High Performance Complex Mfg, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China.
关键词：
Robust LS-SVM;robust modeling;cluster;noise;nonlinearly distributed data
摘要：
Real datasets are often distributed nonlinearly. Although many least squares support vector machine (LS-SVM) methods have successfully modeled this kind of data using a divide-and-conquer strategy, they are often ineffective when nonlinear data are subject to noise due to a lack of robustness within each sub-model. In this paper, a robust clustered LS-SVM is proposed to model this type of data. First, the clustering method is used to divide the sample data into several sub-datasets. A local robust LS-SVM model is then developed to capture the local dynamics of the corresponding sub-dataset and to be robust to noise. Subsequently, a global regularization is constructed to intelligently coordinate all local models. These new features ensure that the global model is smooth and continuous and has a good generalization and robustness. Through the use of both artificial and real cases, the effectiveness of the proposed robust clustered LS-SVM is demonstrated.
作者机构：
[潘晴; 范彬] College of Mechanical and Electrical Eng., Central South University, Changsha, 410083, China;[范彬] College of Mechanical and Electrical Eng., Hunan City Univ., Yiyang, 413002, China
