Approximate Separability for Weak Interaction in Dynamic Systems
Avi Pfeffer

TL;DR
This paper introduces the concept of approximate separability in dynamic systems, demonstrating its practical relevance and effectiveness for monitoring weakly interacting subsystems, and analyzing why such models perform well.
Contribution
It defines a notion of approximate separability, shows its practical occurrence, and explains the structure and effectiveness of these decompositions in dynamic system monitoring.
Findings
Approximate separability occurs naturally in practice.
Models based on approximate separability perform well in monitoring.
The paper provides structural analysis of approximately separable decompositions.
Abstract
One approach to monitoring a dynamic system relies on decomposition of the system into weakly interacting subsystems. An earlier paper introduced a notion of weak interaction called separability, and showed that it leads to exact propagation of marginals for prediction. This paper addresses two questions left open by the earlier paper: can we define a notion of approximate separability that occurs naturally in practice, and do separability and approximate separability lead to accurate monitoring? The answer to both questions is afirmative. The paper also analyzes the structure of approximately separable decompositions, and provides some explanation as to why these models perform well.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFault Detection and Control Systems · Neural Networks and Applications · Control Systems and Identification
