Electrical & Computer Engineering Faculty Publications
Document Type
Article
Publication Date
12-1-1999
Abstract
Recently, probabilistic methods and statistical learning theory have been shown to provide approximate solutions to “difficult” control problems. Unfortunately, the number of samples required in order to guarantee stringent performance levels may be prohibitively large. In this paper, using recent results by the authors, a more efficient statistical algorithm is presented. Using this algorithm we design static output controllers for a nonlinear plant with uncertain delay.
Publisher
IEEE
Publication Title
Proceedings of the 38th IEEE Conference on Decision and Control
ISSN
0-7803-5250-5
First Page
4696
Last Page
4699
DOI
10.1109/CDC.1999.833284
Language (ISO)
English
Sponsorship
IEEE
Keywords
Chaos, computational complexity, control system synthesis
Recommended Citation
Abdallah, Chaouki T.; V. Koltchinskii; and M. Ariola. "Statistical learning control of delay systems: theory and algorithms." Proceedings of the 38th IEEE Conference on Decision and Control (1999): 4696-4699. doi:10.1109/CDC.1999.833284.
