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Institution

Missouri University of Science and Technology

EducationRolla, Missouri, United States
About: Missouri University of Science and Technology is a education organization based out in Rolla, Missouri, United States. It is known for research contribution in the topics: Artificial neural network & Control theory. The organization has 9380 authors who have published 21161 publications receiving 462544 citations. The organization is also known as: Missouri S&T & University of Missouri–Rolla.


Papers
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Journal ArticleDOI
TL;DR: In this article, a microgrid system with two inverters working as DERs is proposed, and the controllers for the inverters are designed in the dq reference frame.
Abstract: In the islanded mode operation of a microgrid, a part of the distributed network becomes electrically separated from the main grid, while loads are supported by local sources. Such distributed energy sources (DERs) are typically power electronic based, making the full system complex to study. A method for analyzing such a complicated system is discussed in this paper. A microgrid system with two inverters working as DERs is proposed. The controllers for the inverters are designed in the dq reference frame. Nonlinear equations are derived to reflect the system dynamics. These equations are linearized around steady-state operating points to develop a state-space model of the microgrid. An averaged model is used in the derivation of the mathematical model that results in a simplified system of equations. An eigenvalue analysis is completed using the linearized model to determine the small-signal stability of the system. A simulation of the proposed microgrid system consisting of two inverter based DERs, passive loads, and a distribution line is performed. An experimental testbed is designed to investigate the system's dynamics during load perturbation. Results obtained from the simulation and hardware experiment are compared with those predicted by the mathematical model to verify its accuracy.

172 citations

Journal ArticleDOI
TL;DR: The test results show that the feature vector extraction method and neural networks can be used successfully for isolated word recognition and this system is flexible and open for future extension.

172 citations

Journal ArticleDOI
TL;DR: Investigation of removal of arsenate from water using granular ferric hydroxide (GFH) was investigated under different pH and As(V) loading conditions, using batch equilibrium adsorption, FTIR, and EXAFS methods, and data indicated that the surface of GFH is high heterogeneous.

172 citations

Journal ArticleDOI
TL;DR: Results suggest that lead-induced oxidative stress in vivo can be mitigated by pharmacologic interventions, which encompass both chelating as well as thiol-mediated antioxidant functions.

172 citations


Authors

Showing all 9433 results

NameH-indexPapersCitations
Robert Stone1601756167901
Tobin J. Marks1591621111604
Jeffrey R. Long11842568415
Xiao-Ming Chen10859642229
Mark C. Hersam10765946813
Michael Schulz10075950719
Christopher J. Chang9830736101
Marco Cavaglia9337260157
Daniel W. Armstrong9375935819
Sajal K. Das85112429785
Ming-Liang Tong7936423537
Ludwig J. Gauckler7851725926
Rodolphe Clérac7850622604
David W. Fahey7731530176
Kai Wang7551922819
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022162
20211,047
20201,180
20191,195
20181,108