Detecting Topology Variations in Dynamical Networks
For researchers in network theory and control, this work offers theoretical conditions for topology variation detection, but is incremental as it applies existing switching systems tools to a specific problem.
The paper addresses detecting node or link disconnections in linear dynamical networks using switching systems theory, providing conditions for detection from nominal behavior and online measurements, with illustrative examples.
This paper considers the problem of detecting topology variations in dynamical networks. We consider a network whose behavior can be represented via a linear dynamical system. The problem of interest is then that of finding conditions under which it is possible to detect node or link disconnections from prior knowledge of the nominal network behavior and on-line measurements. The considered approach makes use of analysis tools from switching systems theory. A number of results are presented along with examples.