Institution
Harbin Institute of Technology
Education•Harbin, China•
About: Harbin Institute of Technology is a education organization based out in Harbin, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 88259 authors who have published 109297 publications receiving 1603393 citations. The organization is also known as: HIT.
Topics: Microstructure, Control theory, Ultimate tensile strength, Alloy, Laser
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the mechanical properties, in vitro degrades and cytotoxicity of Mg-4.0Zn-0.2Ca alloy were studied and it was revealed that the addition of Zn and Ca into Mg matrix could enhance the corrosion potential and reduced the degradation rate.
269 citations
••
TL;DR: The results indicated that aluminum was an excellent electrode material for algae removal as compared with iron, and the ECF technology was effective for algae Removal, from both the technical and economical points of view.
268 citations
••
TL;DR: This paper investigates the problem of robust H∞ output feedback control for a class of continuous-time Takagi-Sugeno (T-S) fuzzy affine dynamic systems with parametric uncertainties and input constraints and designs a suitable constrained piecewise affine static output feedback controller.
Abstract: This paper investigates the problem of robust H∞ output feedback control for a class of continuous-time Takagi-Sugeno (T-S) fuzzy affine dynamic systems with parametric uncertainties and input constraints. The objective is to design a suitable constrained piecewise affine static output feedback controller, guaranteeing the asymptotic stability of the resulting closed-loop fuzzy control system with a prescribed H∞ disturbance attenuation level. Based on a smooth piecewise quadratic Lyapunov function combined with S-procedure and some matrix inequality convexification techniques, some new results are developed for static output feedback controller synthesis of the underlying continuous-time T-S fuzzy affine systems. It is shown that the controller gains can be obtained by solving a set of linear matrix inequalities (LMIs). Finally, three examples are provided to illustrate the effectiveness of the proposed methods.
268 citations
••
27 Jun 2016TL;DR: This paper presents a probabilistic collaborative representation based classifier (ProCRC), which jointly maximizes the likelihood that a test sample belongs to each of the multiple classes, and shows superior performance to many popular classifiers, including SRC, CRC and SVM.
Abstract: Conventional representation based classifiers, ranging from the classical nearest neighbor classifier and nearest subspace classifier to the recently developed sparse representation based classifier (SRC) and collaborative representation based classifier (CRC), are essentially distance based classifiers. Though SRC and CRC have shown interesting classification results, their intrinsic classification mechanism remains unclear. In this paper we propose a probabilistic collaborative representation framework, where the probability that a test sample belongs to the collaborative subspace of all classes can be well defined and computed. Consequently, we present a probabilistic collaborative representation based classifier (ProCRC), which jointly maximizes the likelihood that a test sample belongs to each of the multiple classes. The final classification is performed by checking which class has the maximum likelihood. The proposed ProCRC has a clear probabilistic interpretation, and it shows superior performance to many popular classifiers, including SRC, CRC and SVM. Coupled with the CNN features, it also leads to state-of-the-art classification results on a variety of challenging visual datasets.
268 citations
••
TL;DR: A review of the various techniques and methods of monitoring tool wear particularly in turning operations can be found in this paper, where the authors present a single-minded approach which is capable of detecting and diagnosing tool wear and failure relating to particular classes of faults.
Abstract: Although a wide variety of tool failure sensing techniques have been developed over the years, few of them have been used in industries successfully. This paper provides a review of the numerous techniques and methods of monitoring tool wear particularly in turning operations. By and large, these techniques appear to be “single-minded” in that they are capable of detecting and diagnosing tool wear and failure relating to particular classes of faults. A universal approach which can detect the very many failure modes in tool condition monitoring has still not been devised.
267 citations
Authors
Showing all 89023 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jiaguo Yu | 178 | 730 | 113300 |
Lei Jiang | 170 | 2244 | 135205 |
Gang Chen | 167 | 3372 | 149819 |
Xiang Zhang | 154 | 1733 | 117576 |
Hui-Ming Cheng | 147 | 880 | 111921 |
Yi Yang | 143 | 2456 | 92268 |
Bruce E. Logan | 140 | 591 | 77351 |
Bin Liu | 138 | 2181 | 87085 |
Peng Shi | 137 | 1371 | 65195 |
Hui Li | 135 | 2982 | 105903 |
Lei Zhang | 135 | 2240 | 99365 |
Jie Liu | 131 | 1531 | 68891 |
Lei Zhang | 130 | 2312 | 86950 |
Zhen Li | 127 | 1712 | 71351 |
Kurunthachalam Kannan | 126 | 820 | 59886 |