On Local Design and Execution of a Distributed Input and State Estimation Architecture for Heterogeneous Sensor Networks


In this paper, we focus on a new distributed input and state estimation architecture, where nodes of a given sensor network are allowed to have heterogeneous information roles in the sense that a subset of nodes can be active (that is, subject to observations of a process of interest) and the rest can be passive (that is, subject to no observations). Moreover, these nodes are allowed to have nonidentical sensor modalities under the common underlying assumption that they have complimentary properties distributed over the sensor network to achieve collective observability. The key feature of our framework is that it utilizes local information not only during the execution of the proposed distributed input and state estimation architecture but also in its design; that is, global stability is guaranteed once each node satisfies given local stability conditions (independent from the graph topology and neighboring information of these nodes). Several examples are provided to demonstrate the efficacy of the proposed approach.

Meeting Name

2017 American Control Conference, ACC (2017: May 24-26, Seattle, WA)


Electrical and Computer Engineering

Research Center/Lab(s)

Intelligent Systems Center

Keywords and Phrases

Network architecture; Sensor networks; State estimation; Topology; Global stability; Graph topology; Heterogeneous information; Heterogeneous sensor networks; Local information; Local stability; Neighboring information; Sensor modality; Sensor nodes

International Standard Book Number (ISBN)


International Standard Serial Number (ISSN)

0743-1619; 2378-5861

Document Type

Article - Conference proceedings

Document Version


File Type





© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 May 2017