Empirical Approach to Optimal Self-Control

Abstract

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)

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Cite this paper

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