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.
Recommended Citation
A. Raj et al., "Distributed State Estimation by using Active-Passive Sensor Networks," Proceedings of the American Control Conference, pp. 4689 - 4694, article no. 8815292, Institute of Electrical and Electronics Engineers, Jul 2019.
The definitive version is available at https://doi.org/10.23919/acc.2019.8815292
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Third Department
Mechanical and Aerospace Engineering
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
Included in
Aerospace Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons, Mechanical Engineering Commons
Comments
Air Force Office of Scientific Research, Grant None