DocumentCode
321321
Title
Controller scheduling by neural networks
Author
Ferreira, Enrique D. ; Krogh, Bruce H.
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
2
fYear
1997
fDate
10-12 Dec 1997
Firstpage
1568
Abstract
Presents a method for real-time switching among a pool of controllers to achieve desired performance. The algorithm uses a set of neural networks to evaluate the future performance of each controller to make the selection. Results are shown in simulation cases. Theoretical issues are discussed and future lines of research are stated
Keywords
control system analysis computing; dynamic programming; feedback; learning (artificial intelligence); linear quadratic control; multilayer perceptrons; nonlinear control systems; performance index; controller scheduling; neural networks; real-time switching; Control systems; Neural networks; Nonlinear control systems; Nonlinear systems; Processor scheduling; Robustness; Sampling methods; Stability; State feedback; Supervisory control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.657713
Filename
657713
Link To Document