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Tree-based variable selection for dimensionality reduction of large-scale control systems

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4 Author(s)
Castelletti, A. ; Dept. of Electron. & Inf., Politec. di Milano, Milan, Italy ; Galelli, S. ; Restelli, M. ; Soncini-Sessa, R.

This paper is about dimensionality reduction by variable selection in high-dimensional real-world control problems, where designing controllers by conventional means is either impractical or results in poor performance.

Published in:

Adaptive Dynamic Programming And Reinforcement Learning (ADPRL), 2011 IEEE Symposium on

Date of Conference:

11-15 April 2011