@inproceedings{64cdc9a12b89477ea191208e6abf7c73,
title = "Cubic neural unit for control applications",
abstract = "A novel neural structure called a cubic neural unit (CNU) is developed. The CNU can be used as a nonlinear controller for controlling the continuous dynamic plants. The structure and the mathematical details of the CNU are described briefly, and an example is used to show the usefulness of the CNU as a nonlinear controller. Neural structures, linear and quadratic, are used as state controllers for complex control systems such as satellite control. Results of all neural structures as neurocontrollers are shown.",
keywords = "Control systems, Differential equations, Feedforward neural networks, Intelligent systems, Mechanical engineering, Multi-layer neural network, Neural networks, Neurons, Nonlinear systems, Satellites",
author = "Song, {K. Y.} and S. Redlapalli and Gupta, {M. M.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 ; Conference date: 21-09-2003 Through 24-09-2003",
year = "2003",
doi = "10.1109/ISUMA.2003.1236181",
language = "English",
series = "4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "324--329",
editor = "Attoh-Okine, {Nii O.} and Ayyub, {Bilal M.}",
booktitle = "4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003",
address = "United States",
}