Title :
On time-sub-optimal control using artificial neural networks
Author :
Zakrzewski, Radoslaw R. ; Mohler, Ronald R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Oregon State Univ., Corvallis, OR, USA
Abstract :
It is demonstrated how a neural network may be used to generate a time-suboptimal control policy in continuous time. Approximation of optimal feedback by neural networks is proposed. Training data are taken from a set of precalculated open-loop trajectories from which a neural network extracts the information about the mapping in question. Simulation results are provided for a simple example
Keywords :
feedback; neural nets; optimal control; artificial neural networks; optimal feedback approximation; precalculated open-loop trajectories; time-sub-optimal control; Artificial neural networks; Automatic control; Control system synthesis; Control systems; Data mining; Humans; Network synthesis; Neural networks; Neurofeedback; Open loop systems; Optimal control; Training data; Trajectory;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371596
