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
通讯机构：
College of Mechanic and Electrical Engineering, Hunan City University, Yiyang, 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
通讯机构：
College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 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
通讯机构：
College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 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
通讯机构：
College of Mechanic and Electrical Engineering, Hunan City University, Yiyang, 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.
关键词：
Tractor;dual clutch automatic transmission (DCT);jerk;sliding friction work
摘要：
Aimed at the problem that different oil pressure changes of clutch had different effects on the shifting quality of dual clutch automatic transmission (DCT). YTO-1804 tractor was selected as the reference object. The shifting process of tractor's DCT was analyzed and the dynamic models of shifting process were built. The shifting process was divided into five stages. Based on the Matlab/Simulink software platform, the simulation model of the whole shifting process was built. In the plowing condition, the simulation analysis that the different clutch oil pressure changes affected the shifting performance of tractor's DCT was done. The simulation results indicate that with the clutch oil pressure change slope decreasing, the shifting time increases, the jerk degree reduces and the sliding friction work becomes large, which better reflects that shifting quality of tractor's DCT is influenced by the clutch oil pressure changes condition. The basic theory and model foundation for the further research on the shifting performance of tractor's DCT are provided.
期刊：
IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018年 ISSN：2168-2216
作者机构：
State Key Laboratory of High Performance Complex Manufacturing, School of Mechanical and Electrical Engineering, Central South University, Hunan 410083, China (e-mail: [email protected]).;State Key Laboratory of High Performance Complex Manufacturing, School of Mechanical and Electrical Engineering, Central South University, Hunan 410083, China.;State Key Laboratory of High Performance Complex Manufacturing, School of Mechanical and Electrical Engineering, Central South University, Hunan 410083, China, and also with the Department of Mechanical Design, Manufacturing and Automation, Hunan City University, Yiyang 413002, China (e-mail: [email protected]).
关键词：
Cluster;Collaboration;Collaborative work;Data models;Manufacturing;Noise measurement;Robustness;Support vector machines;collaborative learning;least squares support vector machine (LS-SVM);relative density degree;robustness
摘要：
The least squares support vector machine (LS-SVM) is often employed to model data with a nonlinear distribution using a divide-and-conquer strategy. However, when nonlinear data are contaminated by either noise or outliers, LS-SVM is often an ineffective approach due to a lack of robustness. In this paper, a collaborative learning-based clustered LS-SVM method is proposed for modeling of nonlinear processes that are subject to noise or outliers. First, a large-scale dataset is divided into several subsets and the data distribution of each subset is estimated. A robust LS-SVM is then developed to represent each subset using this distributional information. A global model is further constructed through integration of all submodels, whose continuity and smoothness are ensured by the development of the collaborative learning technique. As a result, the proposed method considers both the nonlinear distribution of data and the robustness of each submodel, and ensures the continuity and smoothness of the global model. Thus, it can effectively model nonlinear data that is subject to either noise or outliers. As further validation of this approach, both artificial and real cases demonstrated its effectiveness. IEEE
