Statistical Learning for Optimal Control of Hybrid Systems

Authors

Chaouki T. Abdallah
Jorge Piovesan
Magnus Egerstedt
Herbert Tanner
Yorai Wardi

Document Type

Article

Publication Date

7-9-2007

Abstract

In this paper we explore a randomized alternative for the optimization of hybrid systems' performance. The basic approach is to generate samples from the family of possible solutions, and to test them on the plant's model to evaluate their performance. This result is obtained by first presenting the general hybrid optimal control problem, and then converting it into an optimization problem within a statistical learning framework. The results are applied to examples already existing in the literature, in order to highlight certain operational aspects of the proposed methods.

Publisher

IEEE

Publication Title

2007 American Control Conference

ISSN

0743-1619

First Page

2775

Last Page

2780

DOI

10.1109/ACC.2007.4282478

Language (ISO)

English

Sponsorship

IEEE

Recommended Citation

Abdallah, Chaouki T.; Jorge Piovesan; Magnus Egerstedt; Herbert Tanner; and Yorai Wardi. "Statistical Learning for Optimal Control of Hybrid Systems." 2007 American Control Conference (2007): 2775-2780. doi:10.1109/ACC.2007.4282478.