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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.

Papers
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Journal ArticleDOI

An ILC-Based Adaptive Control for General Stochastic Systems With Strictly Decreasing Entropy

Puya Afshar, +2 more
- 01 Mar 2009 - 
TL;DR: A new method for adaptive control of general nonlinear and non-Gaussian unknown stochastic systems has been proposed that applies the minimum entropy control scheme to decrease the closed-loop randomness of the output under an iterative learning control (ILC) basis.
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Iterative learning double closed-loop structure for modeling and controller design of output stochastic distribution control systems

Jinglin Zhou, +3 more
- 03 Mar 2014 - 
TL;DR: Simulation study over a flame shape distribution control simulation platform for a combustion process in a coal-fired gate boiler system shows that the output PDF tracking performance can be efficiently achieved by this double closed-loop iterative learning strategy.
Journal Article

TMEM16A-mediated mucin production in IL-13-induced nasal epithelial cells from chronic rhinosinusitis patients

Yuling Zhang, +7 more
- 01 Jan 2014 - 
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Filter-based fault detection and diagnosis using output PDFs for stochastic systems with time delays

Yumin Zhang, +3 more
- 01 May 2006 - 
TL;DR: In this article, a fault detection and diagnosis (FDD) scheme is studied for general stochastic dynamic systems subjected to state time delays, where the measured information for the FDD is the probability density function (PDF) of the system output rather than its actual value.
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Minimum entropy control for non-linear and non-Gaussian two-input and two-output dynamic stochastic systems

Jianhua Zhang, +2 more
- 11 Oct 2012 - 
TL;DR: In this article, a non-linear auto-regressive moving average with exogenous model is used to describe the system and a new performance index is established using the entropy and joint entropy so as to characterise the uncertainty of the tracking errors of the closed-loop system.