Model learning for switching linear systems with autonomous mode transitions

Lars Blackmore; Stephanie Gil; Seung Chung; Brian Williams

doi:10.1109/CDC.2007.4434779

Model learning for switching linear systems with autonomous mode transitions

Lars Blackmore, Stephanie Gil, Seung Chung, Brian Williams

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

25 Scopus citations

Abstract

We present a novel method for model learning in hybrid discrete-continuous systems. The approach uses approximate Expectation-Maximization to learn the Maximum-Likelihood parameters of a switching linear system. The approach extends previous work by 1) considering autonomous mode transitions, where the discrete transitions are conditioned on the continuous state, and 2) learning the effects of control inputs on the system. We evaluate the approach in simulation.

Original language	English (US)
Title of host publication	Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4648-4655
Number of pages	8
ISBN (Print)	1424414989, 9781424414987
DOIs	https://doi.org/10.1109/CDC.2007.4434779
State	Published - 2007
Externally published	Yes
Event	46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States Duration: Dec 12 2007 → Dec 14 2007

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Other

Other	46th IEEE Conference on Decision and Control 2007, CDC
Country/Territory	United States
City	New Orleans, LA
Period	12/12/07 → 12/14/07

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Access to Document

10.1109/CDC.2007.4434779

Cite this

Blackmore, L., Gil, S., Chung, S., & Williams, B. (2007). Model learning for switching linear systems with autonomous mode transitions. In Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC (pp. 4648-4655). Article 4434779 (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2007.4434779

Model learning for switching linear systems with autonomous mode transitions. / Blackmore, Lars; Gil, Stephanie; Chung, Seung et al.
Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC. Institute of Electrical and Electronics Engineers Inc., 2007. p. 4648-4655 4434779 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Blackmore, L, Gil, S, Chung, S & Williams, B 2007, Model learning for switching linear systems with autonomous mode transitions. in Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC., 4434779, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 4648-4655, 46th IEEE Conference on Decision and Control 2007, CDC, New Orleans, LA, United States, 12/12/07. https://doi.org/10.1109/CDC.2007.4434779

Blackmore L, Gil S, Chung S, Williams B. Model learning for switching linear systems with autonomous mode transitions. In Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC. Institute of Electrical and Electronics Engineers Inc. 2007. p. 4648-4655. 4434779. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC.2007.4434779

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Model learning for switching linear systems with autonomous mode transitions

Abstract

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ASJC Scopus subject areas

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