Regression Tree Control of Multidimensional Static Object
DOI:
https://doi.org/10.25728/assa.2017.17.3.499Keywords:
control, regression tree, machine learning, optimizationAbstract
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
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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"