Learning rate algorithm for neural net based direct adaptive control
Joint Authors
Anjum, Muhammad Faruq
Ahmad, M. S.
Source
The Arabian Journal for Science and Engineering
Issue
Vol. 18, Issue 4(s) (31 Jul. 1993), pp.493-513, 21 p.
Publisher
King Fahd University of Petroleum and Minerals
Publication Date
1993-07-31
Country of Publication
Saudi Arabia
No. of Pages
21
Main Subjects
Abstract EN
An algorithm to determine the learning rate for neural net based direct adaptive control is presented.
The proposed learning rate ensures fast convergence ؛٧ the adaptive controller and at the same time ensures local stability of the control system.
The derivation is based upon error linearization in the weight space.
The use of the proposed learning rate is demonstrated through application on direct self-tuning control of nonlinear plants.
Simulation results are also presented to validate the theoretical findings.
American Psychological Association (APA)
Ahmad, M. S.& Anjum, Muhammad Faruq. 1993. Learning rate algorithm for neural net based direct adaptive control. The Arabian Journal for Science and Engineering،Vol. 18, no. 4(s), pp.493-513.
https://search.emarefa.net/detail/BIM-576627
Modern Language Association (MLA)
Ahmad, M. S.& Anjum, Muhammad Faruq. Learning rate algorithm for neural net based direct adaptive control. The Arabian Journal for Science and Engineering Vol. 18, no. 4(s) (Jul. 1993), pp.493-513.
https://search.emarefa.net/detail/BIM-576627
American Medical Association (AMA)
Ahmad, M. S.& Anjum, Muhammad Faruq. Learning rate algorithm for neural net based direct adaptive control. The Arabian Journal for Science and Engineering. 1993. Vol. 18, no. 4(s), pp.493-513.
https://search.emarefa.net/detail/BIM-576627
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 511
Record ID
BIM-576627