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
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;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657713
