Empirical Approach to Optimal Self-Control


We describe the application of empirical modeling of natural phenomena to the optimal self-control of an autonomous system in a chaotic environment. The system consists of a network of sensors, a modeler, a controller, a plant, and a utility estima-tor. The modeler contains a self-organizing neural network and a conditional average estimator. An empirical… (More)


Cite this paper

@inproceedings{Grabec1997EmpiricalAT, title={Empirical Approach to Optimal Self-Control}, author={Igor Grabec and Janez Gradi}, year={1997} }