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Institution

Northeastern University (China)

EducationShenyang, China
About: Northeastern University (China) is a education organization based out in Shenyang, China. It is known for research contribution in the topics: Control theory & Microstructure. The organization has 36087 authors who have published 36125 publications receiving 426807 citations. The organization is also known as: Dōngběi Dàxué & Northeastern University (东北大学).


Papers
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Journal ArticleDOI
01 Apr 2010-Carbon
TL;DR: In this paper, single-wall carbon nanohorns (SWCNHs) with different morphologies were generated by direct current arc-discharge between pure graphite rods in different atmospheres, including air, CO2 and CO.

124 citations

Journal ArticleDOI
TL;DR: In this article, a cost-effective shielding composite was prepared by vanadium slag, boron-rich slag and epoxy resin, which was tested with 60Co gamma ray irradiation field.

124 citations

Journal ArticleDOI
TL;DR: A set of new sufficient conditions is developed which not only guarantees the stochastic admissibility of the sliding mode dynamics, but also determines all the parameter matrices in the integral sliding function.

123 citations

Journal ArticleDOI
TL;DR: In this paper, a coupled mathematical model for solid deformation and gas flow is proposed and implemented using a finite element method, and the numerical code is used to solve the gas flow equation with Klinkenberg effect, and is validated by comparison with available analytical solutions.

123 citations

Journal ArticleDOI
TL;DR: An optimal control scheme based on adaptive dynamic programming (ADP) is developed to solve infinite-horizon optimal control problems of continuous-time complex-valued nonlinear systems and a new performance index function is established on the basis ofcomplex-valued state and control.
Abstract: In this brief, an optimal control scheme based on adaptive dynamic programming (ADP) is developed to solve infinite-horizon optimal control problems of continuous-time complex-valued nonlinear systems. A new performance index function is established on the basis of complex-valued state and control. Using system transformations, the complex-valued system is transformed into a real-valued one, which overcomes Cauchy-Riemann conditions effectively. With the transformed system and the performance index function, a new ADP method is developed to obtain the optimal control law by using neural networks. A compensation controller is developed to compensate the approximation errors of neural networks. Stability properties of the nonlinear system are analyzed and convergence properties of the weights for neural networks are presented. Finally, simulation results demonstrate the performance of the developed optimal control scheme for complex-valued nonlinear systems.

123 citations


Authors

Showing all 36436 results

NameH-indexPapersCitations
Rui Zhang1512625107917
Hui-Ming Cheng147880111921
Yonggang Huang13679769290
Yang Liu1292506122380
Tao Zhang123277283866
J. R. Dahn12083266025
Terence G. Langdon117115861603
Frank L. Lewis114104560497
Xin Li114277871389
Peng Wang108167254529
David J. Hill107136457746
Jian Zhang107306469715
Xuemin Shen106122144959
Yi Zhang102181753417
Tao Li102248360947
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023166
2022906
20214,689
20204,118
20193,653
20182,878