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.
Papers
More filters
Proceedings ArticleDOI
Shaping of molecular weight distribution using B-spline based predictive probability density function control
TL;DR: The B-spline neural network has been implemented to approximate the function of MWDs provided by the mechanism model, based on which a new predictive PDF control strategy has been developed.
Journal ArticleDOI
Brief paper: Distribution function tracking filter design using hybrid characteristic functions
TL;DR: A new tracking filtering algorithm for a class of multivariate dynamic stochastic systems is presented, where the key idea is to ensure the distribution of the conditional estimation error to follow a target distribution.
Proceedings ArticleDOI
A systematic approach to the design of robust diagonal dominance based MIMO controllers
TL;DR: In this article, a new method based on the use of LMIs is presented for the design of dynamic precompensators to achieve high levels of diagonal dominance, combined with a new technique for designing diagonal loop-shaping controllers such that the resulting closed loop system will be guaranteed to satisfy some prescribed mixed-sensitivity constraints on its singular values.
Journal ArticleDOI
Iterative learning-based minimum tracking error entropy controller for robotic manipulators with random communication time delays
J.H. Zhang,Hong Wang +1 more
TL;DR: A novel feedback control method for robotic manipulators with random communication delays by combining the optimal P-type iterative learning control (ILC) idea with a minimum tracking error entropy control strategy is presented.
Journal ArticleDOI
Adaptive Decoupling Switching Control of the Forced-Circulation Evaporation System Using Neural Networks
TL;DR: Simulation results show that the proposed method can decouple the loops effectively for the forced-circulation evaporation system and thus improve the evapsoration efficiency.