Regression Tree Control of Multidimensional Static Object

Authors

  • Ekaterina Mangalova Siberian State Aerospace University

DOI:

https://doi.org/10.25728/assa.2017.17.3.499

Keywords:

control, regression tree, machine learning, optimization

Abstract

In this paper the control problem of a static system under incomplete information is discussed. A nonparametric control algorithm based on Classification and Regression Tree is proposed and evaluated for different task formulations: controlled inputs – one-dimensional output, controlled and observed uncontrolled inputs – one-dimensional output, controlled and observed uncontrolled inputs – multi-dimensional outputs.

Downloads

Download data is not yet available.

Downloads

Published

2017-12-27

How to Cite

Mangalova, E. (2017). Regression Tree Control of Multidimensional Static Object. Advances in Systems Science and Applications, 17(3), 58–66. https://doi.org/10.25728/assa.2017.17.3.499

Issue

Section

Special issue "Selected papers of the 18th Congress of WOSC"