Abstract

This paper proposes a novel adaptive observer for heterogeneous sensor networks (HSNs) to estimate state vector of an unknown target or process by using the sensed output when the input to the target/process is also not known. In an HSN, nodes are considered either active or passive depending upon their ability to sense the target output. The local information exchange among the nodes is dictated by a connected graph. By using the criterion of collective observability, a novel distributed adaptive estimation is introduced where the nodes are allowed to have different sensor modalities. Stability analysis shows uniform ultimate boundedness of the state estimation and parameter estimation errors. Simulation results are included to validate the proposed approach.

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

Third Department

Mechanical and Aerospace Engineering

Comments

Air Force Office of Scientific Research, Grant None

International Standard Book Number (ISBN)

978-153867926-5

International Standard Serial Number (ISSN)

0743-1619

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

01 Jul 2019

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