화학공학소재연구정보센터
International Journal of Control, Vol.62, No.1, 1-16, 1995
Reinforcement Learning Control Using Interconnected Learning Automata
This paper is concerned with the application of interconnected learning automata to the control of unknown stochastic dynamic systems. A method of using N learning automata and subsets of actions to search for optimum controller parameters according to a given performance index is presented. The methodology has been applied as an on-line control strategy for control of an unknown turbogenerator system in noise environments without persistent excitation signals. Simulation results are included.