Self-Organizing Approach to the Stochastic Fuel Regulator Problem
- 1 July 1970
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems Science and Cybernetics
- Vol. 6 (3) , 186-191
- https://doi.org/10.1109/tssc.1970.300340
Abstract
A self-organizing procedure to achieve a performance adaptive controller with asymptotically optimal properties is proposed for systems with completely or partially unknown dynamics. A physically realizable controller that operates in an unknown stochastic environment is obtained. The accrued cost during a global random search for the minimum converges to the minimum value corresponding to the specific optimal controller. The global search strategy includes a subgoal defined on a nondecreasing time subinterval and an algorithm of adaptive random type. The stochastic fuel regulator problem with random switching delay is used as an application of the method and simulation results demonstrate its effectiveness.Keywords
This publication has 3 references indexed in Scilit:
- Stochastic Optimal Control with Noisy Observations †International Journal of Control, 1966
- Learning systems for automatic controlIEEE Transactions on Automatic Control, 1966
- Conditional Markov ProcessesTheory of Probability and Its Applications, 1960