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.
Original language | English |
---|---|
Title of host publication | 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 |
Editors | Nii O. Attoh-Okine, Bilal M. Ayyub |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 324-329 |
Number of pages | 6 |
ISBN (Electronic) | 0769519970, 9780769519975 |
DOIs | |
Publication status | Published - 2003 |
Externally published | Yes |
Event | 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 - College Park, United States Duration: 21 Sept 2003 → 24 Sept 2003 |
Publication series
Name | 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 |
---|
Conference
Conference | 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 |
---|---|
Country/Territory | United States |
City | College Park |
Period | 21/09/03 → 24/09/03 |
Keywords
- Control systems
- Differential equations
- Feedforward neural networks
- Intelligent systems
- Mechanical engineering
- Multi-layer neural network
- Neural networks
- Neurons
- Nonlinear systems
- Satellites
Fingerprint
Dive into the research topics of 'Cubic neural unit for control applications'. Together they form a unique fingerprint.Cite this
Song, K. Y., Redlapalli, S., & Gupta, M. M. (2003). Cubic neural unit for control applications. In N. O. Attoh-Okine, & B. M. Ayyub (Eds.), 4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003 (pp. 324-329). Article 1236181 (4th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISUMA.2003.1236181