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Institution

University of Electronic Science and Technology of China

EducationChengdu, China
About: University of Electronic Science and Technology of China is a education organization based out in Chengdu, China. It is known for research contribution in the topics: Computer science & Antenna (radio). The organization has 50594 authors who have published 58502 publications receiving 711188 citations. The organization is also known as: UESTC.


Papers
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Journal ArticleDOI
TL;DR: This paper considers the trajectory tracking of a marine surface vessel in the presence of output constraints and uncertainties, and an asymmetric barrier Lyapunov function is employed to cope with the output constraints.
Abstract: In this paper, we consider the trajectory tracking of a marine surface vessel in the presence of output constraints and uncertainties. An asymmetric barrier Lyapunov function is employed to cope with the output constraints. To handle the system uncertainties, we apply adaptive neural networks to approximate the unknown model parameters of a vessel. Both full state feedback control and output feedback control are proposed in this paper. The state feedback control law is designed by using the Moore–Penrose pseudoinverse in case that all states are known, and the output feedback control is designed using a high-gain observer. Under the proposed method the controller is able to achieve the constrained output. Meanwhile, the signals of the closed loop system are semiglobally uniformly bounded. Finally, numerical simulations are carried out to verify the feasibility of the proposed controller.

322 citations

Journal ArticleDOI
17 Oct 2018-Joule
TL;DR: In this article, a thin layer of reduced graphene oxide (rGO)/sodium lignosulfonate (SL) composite was applied on the standard polypropylene (PP) separator, which effectively suppressed the translocation of the negatively charged polysulfide (PS) ions without compromising the transport of positively charged Li+ ions.

322 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented a review of the Advanced Optical Materials Hall of Fame article series, which recognizes the excellent contributions of leading researchers to the field of optical materials science. But they did not mention the work of the authors of this article.
Abstract: This work was supported by National Basic Research Program of China (Project No. 2013CB933301) and National Natural Science Foundation of China (Project No. 51272038). L.V.B. was supported by China Postdoctoral Science Foundation. A.O.G. was supported by the Volkswagen Foundation (Germany) and via the Chang Jiang (Yangtze River) Chair Professorship (China). G.P.W. acknowledges support from the Center for Nanoscale Materials, a U.S. Department of Energy Office of Science User Facility, and support by the U.S. Department of Energy, Office of Science, under Contract No. DE-AC02-06CH11357. In addition, the authors acknowledge financial support obtained from the Virtual Institute for Theoretical Photonics and Energy. This review is part of the Advanced Optical Materials Hall of Fame article series, which recognizes the excellent contributions of leading researchers to the field of optical materials science.

321 citations

Journal ArticleDOI
TL;DR: The Watershed Allied Telemetry Experimental Research (WATER) as discussed by the authors is a simultaneous airborne, satellite-borne, and ground-based remote sensing experiment aiming to improve the observability, understanding, and predictability of hydrological and related ecological processes at a catchment scale.
Abstract: [1] The Watershed Allied Telemetry Experimental Research (WATER) is a simultaneous airborne, satellite-borne, and ground-based remote sensing experiment aiming to improve the observability, understanding, and predictability of hydrological and related ecological processes at a catchment scale. WATER consists of the cold region, forest, and arid region hydrological experiments as well as a hydrometeorology experiment and took place in the Heihe River Basin, a typical inland river basin in the northwest of China. The field campaigns have been completed, with an intensive observation period lasting from 7 March to 12 April, from 15 May to 22 July, and from 23 August to 5 September 2008: in total, 120 days. Twenty-five airborne missions were flown. Airborne sensors including microwave radiometers at L, K, and Ka bands, imaging spectrometer, thermal imager, CCD, and lidar were used. Various satellite data were collected. Ground measurements were carried out at four scales, that is, key experimental area, foci experimental area, experiment site, and elementary sampling plot, using ground-based remote sensing instruments, densified network of automatic meteorological stations, flux towers, and hydrological stations. On the basis of these measurements, the remote sensing retrieval models and algorithms of water cycle variables are to be developed or improved, and a catchment-scale land/hydrological data assimilation system is being developed. This paper reviews the background, scientific objectives, experiment design, filed campaign implementation, and current status of WATER. The analysis of the data will continue over the next 2 years, and limited revisits to the field are anticipated.

320 citations

Journal ArticleDOI
22 Oct 2012-ACS Nano
TL;DR: Examination of a series of transition metal dichalcogenides shows that the biaxial tensile strained NbS (2) and NbSe(2) structures can be magnetized with a ferromagnetic character due to the competitive effects of through-bond interaction and through-space interaction.
Abstract: Developing approaches to effectively induce and control the magnetic states is critical to the use of magnetic nanostructures in quantum information devices but is still challenging. Here we have d...

320 citations


Authors

Showing all 51090 results

NameH-indexPapersCitations
Gang Chen1673372149819
Frede Blaabjerg1472161112017
Kuo-Chen Chou14348757711
Yi Yang143245692268
Guanrong Chen141165292218
Shuit-Tong Lee138112177112
Lei Zhang135224099365
Rajkumar Buyya133106695164
Lei Zhang130231286950
Bin Wang126222674364
Haiyan Wang119167486091
Bo Wang119290584863
Yi Zhang11643673227
Qiang Yang112111771540
Chun-Sing Lee10997747957
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023159
2022980
20217,385
20207,220
20196,976