H
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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Observer-Based Optimal Fault Detection and Diagnosis Using Conditional Probability Distributions
TL;DR: Two optimization measures, namely guaranteed cost performance and Hinfin performance, are applied to optimize the observer design in a new optimal fault detection and diagnosis scheme for continuous-time stochastic dynamic systems with time delays.
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Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization
TL;DR: This paper presents a novel offline modeling for product quality prediction of mineral processing which consists of a number of unit processes in series and the model parameter selection is transformed into the shape control of the probability density function (PDF) of the modeling error.
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Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy
TL;DR: The HRV characteristics, calculated by sample entropy (SampEn), as well as the relative power spectrum ratio β/(θ + α) of the channels, the subjective questionnaire, and the brain network parameters, can effectively detect driving fatigue at various driving stages.
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Impact of LUCC on streamflow based on the SWAT model over the Wei River basin on the Loess Plateau in China
TL;DR: In this paper, Liu et al. investigated the impact of vegetation recovery construction on streamflow in the Wei River, the largest branch of the Yellow River, with revegetated construction area as the study area.
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ILC-Based Fixed-Structure Controller Design for Output PDF Shaping in Stochastic Systems Using LMI Techniques
Hong Wang,Puya Afshar +1 more
TL;DR: A generalized state-space controller design for the shaping of the output probability density function (PDF) is presented for non-Gaussian dynamical stochastic systems and has the advantage of the batch-by-batch improvement of the closed-loop output PDF tracking performance.