Abstract
Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.
Recommended Citation
Tran, Dzung Minh Duc; Yucelen, Tansel; and Sarsilmaz, Selahattin Burak, "Distributed Process State and Input Estimation for Heterogeneous Active/Passive Sensor Networks" (2022). Patents. 21.
https://scholarsmine.mst.edu/patents/21
Department(s)
Mechanical and Aerospace Engineering
Patent Application Number
16/106,506
Patent Number
US 11,402,243 B1
Document Type
Patent
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2026 University of South Florida, All rights reserved
Additional Rights Information
Assignee: University of South Florida, Tampa, FL (US)
Publication Date
2 August, 2022

Comments
Docket Number: 17MST047-UTL
Filing Date: 08/21/2018
Issue Date: 08/02/2022, FY23
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