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Hong Wang

Researcher at Northeastern University (China)

Publications -  561
Citations -  10554

Hong Wang is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Nonlinear system & Probability density function. The author has an hindex of 47, co-authored 510 publications receiving 8952 citations. Previous affiliations of Hong Wang include Zhejiang University & Shenyang Institute of Automation.

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Journal ArticleDOI

Quantum mechanics, control theory and quantum control

TL;DR: A brief review of Rosenbrock's recent work on generating quantum mechanics using dynamic programming can be found in this article. But this review is limited to the use of dynamic programming and does not cover some of the problems in developing feedback quantum control.
Proceedings Article

Integrated fault diagnosis and fault tolerant control for stochastic distribution system using dynamic modeling

TL;DR: In this paper, a fault tolerant control of the stochastic distribution systems is proposed to reconfigure the controller using the fault diagnosis information and make the output probability density function (PDF) still track the given probability density functions.
Journal ArticleDOI

Unambiguous identification of N-containing oxygenated organic molecules using a chemical-ionization Orbitrap (CI-Orbitrap) in an eastern Chinese megacity

Abstract: Abstract. Oxygenated organic molecules (OOMs) are dominated by the N-containing species in polluted urban environments. As N-containing OOMs, especially those with more than one nitrogen atom, prevail in the high m/z (mass-to-charge) range (m/z> 350 Th), unambiguous identification of N-containing OOMs is highly desirable for understanding of their formation processes, precursors and influencing factors. To achieve this, we applied an ultra-high-resolution chemical-ionization Orbitrap (CI-Orbitrap) in a field campaign and found that OOMs contain one (1N-OOMs), two (2N-OOMs) and three (3N-OOMs) nitrogen atoms comprised 50 %, 26 % and 4 %, respectively, of total OOMs. More interestingly, the fraction of 2N-OOMs increased with the increase in carbon number (nC) and was dominated by the ones derived from aliphatic precursors (2N-OOMAli, 64.2 %), indicating the importance of multistep oxidation. Plausible precursors of 2N-OOMs were aliphatics (2N-OOMAli, 64.2 %), aromatics (2N-OOMAro, 16 %) and monoterpenes (2N-OOMMT, 15.4 %). The absolute concentrations of 2N-OOMs were greatly affected by the pollution level for most cases. The 2N-OOMAli was the most abundant 2N-OOM, and its fraction even increased on the polluted day with an enhanced proportion of the ones with nC >10. While 2N-OOMAli and 2N-OOMAro were dominated by daytime photochemical production, nighttime NO3-initiated oxidation played a comparable role to the daytime photochemistry in the formation of 2N-OOMMT. The 2N-OOMAro species were of the highest oxygenation level, followed by 2N-OOMMT and 2N-OOMAli, which were affected by photochemistry and NOx concentrations. These results highlight the significant formation of 2N-OOMs and the influencing factors on their formation in polluted urban environments, where various volatile organic compound (VOC) precursors and atmospheric oxidants are present.
Journal Article

Model reduction and parameter sensitivity analysis of the TNFα-induced NF-κB signal transduction networks

TL;DR: In this paper, a mathematical model of the TNFα-Induced NF-κB signal transduction networks was proposed to study the impact of inner structure of biological systems and variations of correlative parameters on nuclear transcription fator-κappa B(NF-κb)signal transduction network.
Proceedings ArticleDOI

Adaptive Transmission Control Strategy for Distributed Detection in EH-WSNs

TL;DR: In order to adapt the performance requirements of Energy Harvesting Wireless Sensor Networks (EH-WSNs) for distributed detection, an adaptive transmission control strategy based on cross-layer design was proposed.