Contents I. Introduction
For multiagent systems applications, where each agent is active in the sense that it is subject to an observation of a process of interest, existing results in dynamic consensus filters can be used [1]–[6]. However, an agent can be passive for certain time instants from a practical standpoint due to its heterogeneous sensing capability in that it may not be able to sense the process and collect information. To address this problem, authors of [7]–[11] propose notable contributions. While the authors of, [8], [9] present methods that cover specific applications where a portion of the networked nodes are passive (and the remaining of nodes are active), their results are in the context of static consensus; that is, their distributed control algorithms are not suitable for dynamic environments.
