A Factor Graph Approach to Parameter Identification for Affine LPV Systems


Factor graphs are a versatile graphical representation of factorizable functions. As a probabilistic graphical model they allow to visualize conditional independence, which can be exploited for efficiently solving inference problems by means of message passing along the nodes of the graph. In this paper, a novel factor graph formulation of the expectation maximization-based estimation technique for affine linear parameter-varying system identification is presented. Furthermore, a recursive reformulation of the algorithm suitable for tracking time-varying changes both accounted and unaccounted for by a pre-defined linear parameter-varying system description is immediate from its factor graph-based formulation.

Original languageEnglish
Title of host publication2017 American Control Conference (ACC)
Number of pages6
Publication date29.06.2017
Article number7963231
ISBN (Print)978-1-5090-5994-2, 978-1-5090-4583-9
ISBN (Electronic) 978-1-5090-5992-8
Publication statusPublished - 29.06.2017
Event2017 American Control Conference
- Sheraton Seattle Hotel , Seattle, United States
Duration: 24.05.201726.05.2017
Conference number: 128855


Dive into the research topics of 'A Factor Graph Approach to Parameter Identification for Affine LPV Systems'. Together they form a unique fingerprint.

Cite this